FEDERAL DEMOCRATIC REPUBLIC OF fclrli’D.i MINISTRY OF WATER RESOURCES BARO-AKOBO RIVER BASIN INTEGRATED DEVELOPMENT MASTER PLAN STUDY FINAL REPORT ANNEX I PT. i WATER. RESOURCE: . X. - *. r — - .FEDERAL DEMOCRATIC REPUBLIC OF ETHIOPIA MLN1STRY OF WATER RESOURCES BARO-AKOBO RIVER BASIN INTEGRATED DEVELOPMENT MASTER PLAN STUDY ANNEX I WATER RESOURCES Part 1 Annex ]A Climatology TAMS-tLG Baro-Akobo River Basin Integrated Development Master PlanINDEX OF VOLUMES AND ANNEXES Volume I:........................ -.................... EXRCUTTVESUMMARY Volume II:............................................ RE-soLucE Base .And Development options Volume Hl:................ ............................. masterplan development VVol oluummee V [V„............................................ :........................................... PPRroE FE jecAt ASIRBIELAITMYa SpTsUDIES ANNEXES /. Annex Annex Annex Annex MM r£7f /?£ Wt'/?C£S fc 1A IB. IC. .. ID 4 Annex IE ... Annex IF Annex 1G Annex 1H.... Annex 11 .Annex 1J 2 AM H/K4L «EWL7?C'£S Climatology Hydrology Flood Studies Ground Water .... Reservoir Operation Studies Sediment Studies Water Resources Cost Estimating Irrigation Projects Water Supply Projects Hydropower Projects ............ ■ Annex 2A ............................................. Land Evaluation Annex 2B Soils and Soil Conservation .Annex 2C ......................... Geology .Annex 2D Mineral Resources •Annex 2E Forestry Annex 2F W ildlife Annex 2G ...Tourism .Annex 2H Apiculture .Annex 21 ................... Agriculture .Annex 2J ... .Annex 2K Fisheries Annex 2L J. SOCfCLECaWAffCS .Annex 3 A Annex 3B Annex 3C Annex 3D ............Renewable Energy . Livestock Population Aspects Socio-Ethnic Groups Analysis Economic Infrastructures Social Infrastructures Annex 3E Economic and Financial Analysis Annex 3F Institutional Support * EVJ7«£WVM£AT Annex 4 Environment TAMS-LLG Bam-AkubG River Basin Integrated Development Master PlanWATER RESOURCES ANNEX IA CLIMATOLOGY ANNEX 1A CLIMATOLOGY l AMS-LLG Bim-Akfllw Integrand D^rkipmem Mister PlanW ATER RESOURCES annex I a climatology CONTENTS 1. I NTRODl J CT1 ON,. .................. - - •*«*......................... ..........................™ * ........................ .. ** 1,1 Seasonal Wind System over the River Basin 12 Orography and Rainfall ...................................................................... •- - 1 3 Agrocltmalic Zones...................................................... ..... *................................... . .............................. ............... 1 4 Climatic Classification - -- 2. DATABASE AND ANALYSIS—-............................................................................ —.............................. 2 1 Database ......................................................................... ’...... 211 Nature of Spatio-temporal Rainfall Data 2 13 Nature of Spano-temporal Relative Humidity Data.................... 2/4 Nbtwre of Spano-temporal Monthly Wind Speed Data 2.1.5. Nature ofSpatio-temporal Sunshine Data 2 16 Nature of Spatio-temporal Evaporation Data .......... 2 2 Data Analysis...................................................................... ......................... 2 2.1 The Patching Model............................................................................... 22.2 The 4 djustment of A verage Monthly and 4 nnua! Rai nfall. 3. THE CLIMATE OF THE BARO-AKOBO RIVER BASIN 3 ] Spatio-temporal Average Monthly Meteorological Elements 15 4 4 6 7 8 8 9 — 9 10 15 3 I 1 Average Monthly Climate Data over the River Basin T................................................................ +-...... 75 3 7 2 Time Series of Average Annual Meteorological Element20 3.2 Relationship between Meteorological Elements and Elevation ........................................................................ 25 3.2 7 Dependence of the Annual Ch mane Components on Elevation in the River Basin 25 3.2.2 Dependence of Relationship Annual Temperature on Elevation28 3.2 3 Dependence of Reloti onship of Annual Evaporation on Elevarion b „ 30 4. INTEGRATION OF RAINFALL OVER THE CATCHMENTS-54 APPENDICES Appendix 1A-1: Appendix Appendix !A-2: IA-3: Appendix 1A-4 Appendix 1A-5 Appendix 1A-6 Monthly Observed and Infilled Rainfall by Station Monthly Observed and Infilled Flow by Year Time Series of the Annual Precipitation Monthly Observed and Infilled Minimum Temperature by Station Monthly Observed and Infilled Maximum Temperature by Station Monthly Observed and Infilled Wind Speed by Station Appendix 1A-7: Monthly Observed and Infilled Relative Humidity by Station Appendix IA-8: Monthly Observed and Infilled Sunshine by Station Appendix 1A-9: Monthly Observed and Infilled Evaporation by Station TAMS-ULG Har^Akobo Integrated Development Mester PlanANNEX 1A WATER RESOURCES CUMATOl^ TABLES Table 1 Rainfall Network ......................................................................... Table 2r Temperature Network Tables Humidity Network Table 4 Wind Speed Network Tables Sunshine Network Table 6 Evaporation Network .............................................................................................................. Table 7 . Summary of the Climate Data Available. ...................................................................................... Table 8. Adjusted, Observed and Infilled Average Monthly Rainfall Table 9: Average Annual Adjusted Observed & Infilled Precipitation Table 10 Average Monthly Wind Speed (nvs) per Station Table 11. Average Monthly Relative Humidity per Station Table 12: Average Monthly and Average .Annual Evaporation per Station Table 13 Mean Annual Precipitation by Station (MAP)... — Table 14: Mean .Annual Wind Speed by Station ............................................................................................... Table 15: Mean Annual Sunshine by Station .............................................................................. FIGURES Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11 Figure 12 Figure 13 Figure 14 Figure 15 Figure 16 Figure 17 Figure 18 Figure 19 Figure 20 Figure 21 Figure 22 Figure 23 Figure 24 Figure 25 Figure 26 Figure 27 Figure 28 Figure 29 Climatic Zones of Baro-Akobo River Basin Spatio-Temporal Observed. Infilled and Adjusted Average of Monthly Rainfall Infilled and Adjusted Ratios on Observed Monthly Rainfall Average Monthly Rainfall Pattern over the River Basin Average Monthly Maximum Temperature Pattern over Lhe Raver Basin Average Monthly Minimum Temperature Pattern over the River Basin Average Monthly Relative Humidity over the River Basin Average Monthly Wind Speed over lhe River Basin Average Monthly Sunshine over lhe River Basin Average Monthly Evaporation Pattern over the River Basin Time Series of Spatial Average Annual Rainfall over the River Basin Time Series of Spatial Average Annual Minimum Temperature over the River Basin Tunc Senes of Spatial Average Annual Maximum Temperature over the River Basin Time Series of Spatial Average Annual Relative Humidity over lhe River Basin Time Series of Spatial Average Annual Wind Speed over the River Basin Time Series of Spatial Average Annual Sunshine over the River Basin Relationship between MAP (Mean Annual Precipitation) and Elevation Relationship between Wind Speed and Elevation Relationship between Relative Humidity and Elevation Relationship between Sunshine and Elevation Relationship between Mean Minimum Temperature and Elevation Relationship between Mean Maximum Temperature and Elevation Relationship between Maximum of the Maximum Temperature and Elevation Relationship between Evaporation and Elevation Mean Monthly Evaporation Distribution. Lower Catchment Mean Monthly Evaporation Distribution, Upper Catchment Mean Monthly Evaporation by Station Mean Monthly Evaporation by Station, Lower Catchment Mean Monthly Evaporation by Station, Upper Catchment TAMS-ULG Baixr-Akobo Integrated Development Muter Pliui 1A -iiiWATER RESOURCES ANNEX 1A CLIMATOLOGY I. INTRODUCTION 1.! S easonal W ind System over the River B asin The rains' season in the Project Area is strong!) influenced by the wind system Warm moist westerly winds, or sometimes southwesterly winds, ftom the Guinea and Congo Basin (the W est African Monsoon), having passed over the lowland areas come up against the escarpments of the Project Area This results in orographic1 uplifting and consequently rainfall Besides the orographic lifting there is also a dynamic lifting at upper tropospheric level which plays a profound role in the rainfall extent and intensity over the region This dynamic component is the Tropical Easterly Jet (TEJ) The existence and strength of this TEJ is very important in determmmiz the spatial extent of the rainfall as well as the amount of the rainfall The stronger the TEJ, the better the spatial distribution of the rainfall and the greater the intensity of the rainfall over the region During the dry period, the situation is slightly different Low-level dry and warm northeasterly trade winds accompanied by southwesterly air flows al upper tropospheric level prevail over the region. In genera! the wind direction varies from season to season The direction of the wind, as notified by the National Meteorological Services Agency (NMSA), is from west to cast during the months from October to May 1.2 Orography and Rainfall The mean annual rainfall distribution of the region shows considerable spatial variation due to the complicated nature of the topography (Refer to the elevation map - Volume IV, page 21). Over lowland areas the mean annual rainfall is as low as 600 mm and over the highland areas it reaches as high as 3000 mm. Profiles of rainfall in July, August and September felling between fi-S’N and 10 5 N and 33°E to 45’E reveal that the rainfell profiles vary along with the topography patterns within the area of study. (Yeshanew, 1994)2 The rainy period of the region is from February to November. The maximuni rainfall over the southern portion of the Baro-Akobo River Basin reaches as high as 300 mm in July and over the northern portion of the region may' reach 250 mm tn July In the northern part of the area, the rainfell amount exceeds 200 mm during June and July. A Fourier Analysis of mean monthly rainfall indicates that the rainfall pattern over the Basin is predominant!v a single peak and the spectrum line of this partem shows that this single peak accounis for 70 % of the mean monthly rainfall variation A more detailed mathematical analysts based on eigenvector analysis and rrurumum variance clustering (MVC) of the mean monthly rainfall analysis delineates the study region into two regimes, namely, areas south of 7 S°N (called here SR) and north of 7,5°N 1 Orograhic - relating to mountains Yeshanew. Satellite Remote Sensing Rainfall Estimation over Ethiopia PhD Thesis, 1994 TAMS-ULG Baro-Akobo Integrated Development Matter Plan 1A-1WATER RESOURCES ANNEX IA CLIMATOLOGY ,0041 The SR has a we ll-defined single peak with rainy penod (named here NR) 0'^' ramfall to mean annual rainfall exceeds X^^^mwtotaane)epeak The west The drought probabtay c portion of the reponu 13 Agroclimatic Zones rfS X®' the rainy penod shows that the soathoi, lhe pan of wlncrab e t0 | than that of the northern porti on. The eastern, northern and western parts of the Baro-Akobo River Basin are optimal for long maturing crops with a single growing period The extreme lower Akobo is suitable for those with a double growing penod Upper Gilo and Middle Gilo have a single growing period and are adequate for perennial crops but less suitable for annual crops (NMSA. Climatic and Agro- climatic Resources of Ethiopia, August 1989) 1.4 Climatic Classification The presence of low land and highland areas over the region exerts a very considerable influence on its climate According to the Climatic Zone of Ethiopia Map published by the NMSA in August 1989. four climatic zones characterise the River Basin the coldest* month is >*8°C and m°nths 316 “ winter The mean temperature of « 680-1200 ™ This ,ypeof and wet periods vanes considerably from mCan leVd The length °f pans of the country This clim«. This climate „ charactensed by tall grass and trees intermingled Wcstern P21110 the northern and eastern • Am - Tropica] climate HI; This is refi^ . temperature ofthe coldest month is > mm. This climate differs fro a 18 C and the mean annual rainfall is 1200-2800 amount that falls during the dri * Cl*n’a,C the tota^ amount of rainfall and the Ir °plCal raw fores* climatc The forest and prevails up to an elevaXn^" 750^ * Cwb • Winn tc SUpportS 111 ever8recn rain The mean temperature of ’ ^*S climate has distinct dry months in winter temperature is >|0’C with th rnont^1 ’s <I8°C and for four months the mean 'he mean annual temperature 'ne^.annuaJ rainfaU (mm) >20 x (T+l 4). where T is considerably from area to area F there is grass cover in areas of ranPaJI distribution and amount varies pred°minate in areas of heavy ramfall while altitudes of 1750-3200 m mo crate rainfall This climate prevails over areas with climate This is a humid* id*™*1* D’ c,iniatc has more soil moisture than in Cwb rainfall The Ckma,c more or less all months having some dn^\XXrPCra,Ure Of colde" month is <18‘C The rainfall of the is more than one third of the rainfall of rhe wettest winter TAMS-VLC Baro-Akobo Integrated Development Matter PlanWATER RESOURCES annex I a climatology month and the rainfall of the driest winter month is more than one tenth of the rainfall of the wettest summer month This climate type experiences adequate rainfall dunng all the seasons and there is therefore abundant forest cover. The distribution of the climatic zones is illustrated in Figure 1 - Climatic Zones of Bare Akobo River Basin Tams-L'LCBaro-Akobo River Basin Integrated Development Master Plan Project CLIMATIC ZONES OF BARO AKOBO RIVER BASIN a« TropKal Monsoon Runy (with ihort dty Mwton) . TropdiamtW I. dabnct dry werter i WirmTtmorale Rih» Clmete (wtioii Aetna dry teat on) L - W»rm Temprale Rimv Cfrmne ’ fwflhdry ranlei) TAMS Consultants, Inc (USA.) and UIG Consultants Ltd (UK.) For the Ministry of Water Resources of the Government of Ethiopia Produced on: M*ch 10.19997 ( Sources NMSA, (Dhcrxai GISFiename ctmzogea^WATER RESOL RCES ANNEX 1A CLIMATOLOGY 2. DATABASE AND ANALYSIS 2.1 Database The meteorological data used in describing the climate of the Baro-Akobo River Basin are: « monthly rainfall. • temperature, • relative humidity, • wind speed and • sunshine. These meteorological elements are obtained from the Manons! Meteorological Services Agency' 2 J. J Ao/ure Jiamfall Data The rainfall data used in this study covers the period from 1952 to 1992 over 42 stations and their locations are given in the mean annual rainfall diagram The lime senes of the rainfall over each station is not continuous and not consistent The rainfall stations used in the study are shown in Table 1. Tablet: Rainfall Network .V/srin/r .Vom^ t 13130 J ■FOELLZ Afmrrd froord £tev nu 751 445 J *2; 117 I0W Stan'arjYdmr A'cwrd i PRhA 2 633 ■J5 ;ilc 21 OfitfKA 25 31 350 Li DC zz *t»i dollc 3441 112 1S50 i rJWTLLi b gTAPG 4 K*Wb 23 ulHBZ T WU i JICAjhi i HA5HA l: RETTU 1515 J it 21 2 IS tic lllv i:2 415 J123 ■ 20 4Z2 mz ■st faze JJI" 321 4’5 ms “41 1307 254? S10 1.37 Q 2 4 HEKA 2535 ■25 1352 25 ITCRWK 24 HtXDI mn Jljfi €60 252.5 941 1&5D wEJd 2523 136 13 EC 1 i rxr- 12 VFT7 21 7£fl 21 NT1A> riFin 75 WEB WU3H J* VLEM teferi lit lln J b l-j 32! 3*3 3 33L5 704 J525 752 3 IK J5J5 7 at 2 4 90 J3LQ 711 iue 2 3 [ 4 R54 1550 t5i i®QC 1521 non 35€O .15 4 1 »• 4 ia ?: 25 1-5 12? [753 34 t J 94 2 L55D 14 M B3< lfr3t- Jn45 I55C 14 11 ■3 3 7 1?DC- 3ft J . 945 Z 5 2 6 II MHO ] 1 AE5C5A ]7 awjCp umrih 1432 1ZJ J»nc JtJq Hit- Z5Z6 im la-fli 35BO EC JAKUUSl 114 1 bib 1460 2s •30 nao 31 "OLE KABA ?5 fUiibc 30 DCNGC1H; 33 JA3SC 34 ATiLTU CARA 35 SOB GES ETA 3fi WAMA 3 1 Hus: 39 W-‘O B M.D SChfcXL 43 BEEZ 47 N"*KA 43 B'J** 45 iL-TT-HA ii F-zrajTtJ L = ftitazL 34.12 3?1 1722 3811 113 14 50 15 "£ ElT X ’ D 3 3820 954 - ’ 10 2542 B2Q ; poo 3435 025 uno TAMS-ULG Baro-Akobo Integrated Development Mailer Plan lA^lANNEX IA CLIMATOLOGY WATER RESOURCES The total number of monthly recor - . from all stations from 1952 to 1992 is 7,760 (Table Al/j). for stal ons lhe tota i ] the dataset been complete o- records for the monthly rauw months) instead of only . 38% of the supposed compete which cannot be estimate penod for which there are reoo . will be only 9,952 (see Trtle * W number 2Q 6M (42 stations over 41 years of dunng the penod m questlon ig jhe amount of data that needs to be infilled is 62 %, _ daU Qn jy data gaps during m fi ' |led In t^s way. the number of infilled data of continuous data, observed and d % inJM is 17.712 (w 1 estimated The drawback of this approach is that the length rf^Xo-di"8 vuies from station to station which has to be considered in the model to generate the monthly record It can be noted that Yeki (station 10) and Tepi (station 11) are 2 different stations, very close to each other, and very useful for infilling the gap The same applies for Atjo (station 18) and Arjo school (station 39). The generation of this missing data using infilled data procedure is called the Patching Model and will be discussed in Data Analysis Section - Section 2.2. 2.1.2 Suture of Spatio-temporal Temperature Data The monthly temperature data used in this study are lhe minimum, maximum and the average temperature The number of temperature stations over the Basin is 20 (Table 2) MS ULG Baru-Akobo Integrated Development M*s*cr JA -5WATER RESOURCES ANNEX [A climatology The monthS' minimum temperature data cover the period from 1952 io 1988 The total monthly data available for the 20 stations during this period is 3,090 (Table A2A) which is only 35% ot the potential for the period which should be 8.800 (20 stations over 37 years of 12 months ) The amount of data that needs to be infilled is 65 %, which cannot be estimated from the existing data (35%) Only the data gaps during the penod for which there are records will be infilled In this way, the number of infilled data will be only 1,302 (see Table A2/ii) and the total number of continuous data, observed and infilled is.4,392 (see Table A2/iii) The observed data represents 70 % of the total data and 30 % of the data has to be estimated The drawback of this approach is that the length of period of recording \anes from station tn station which has to be considered in the model to generate the monthly record The total number of monthly records from all stations from 1952 to 1988 is 3,645 (Table A2/iv), Had the dataset been complete for the whole period and for all stations, the total number ot records would have been 8,800 (20 stations over 37 years of 12 months) instead of only 3,645 The total available data during the period in question is merely 41% of the supposed complete total data The amount of data that needs to be infilled is 59%, which cannot be estimated from the existing data Only the data gaps during the period for which there are records will be infilled In this way. the number of infilled data will be only 1,647 (see Table A2A) and the total number of continuous data, observed and infilled is 5.292 (see Table A2Ari) The observed data represents 69% of the total data and 31% of the data has to be estimated The drawback of this approach is that the length of period of recording varies from station io station which has to be considered in the model to generate the monthly record 21.3 Nature of Spatio-temporal Relative Humidity Data The number of the meteorological stations with relative humidity data available over the study regions is only 6 (Table 3). Table 3: Humidity Network STATION NUMBERS STATION NAME OBSERVED humidity NUMBER OF DATA 4 Gambella 6 16 80 7 Gore 5 99 71 17 Anger Gulin 693 120 19 l Assosa 6 43 123 27 Nedjo 6 03 60 30 Don^oro 6 72 85 L 32 Hoha 6 81 ----------------- Generally, for the synoptic and indicative stations, relative humidity- data are normally available at 0600, 0900, 1200, 1500 and 1800 local time Over the Baro Akobo River Basin only one station (Nedjo) out of the six has relattve humidity data at synoptic hours. The other stations have relative humidity at 1200 local time The monthly relative humidity data cover the period from 1975 to 1988 Had the dataset been complete for the whole period and for all stations, the total number of records would have been TAMS-ULG Bare-Akobo Integrated Development Miner Plan I.AWATER RESOURCES ANNEX 1A CLIMATOLOGY 993 (Table A3/1). The iota! available data dunnc the period in question is merely 34% of supposed complete total data The amount of dala (hat needs to be infilled is 66%, which cannot be estimated from (he costing data Only the data gaps during the period for which there are records will be infilled In this way, the number of infilled data will be only 231 (see Table A3/ii) and the total number of continuous data, observed and infilled is 1,224 (see Table A3/iii) The observed data represents 81% of the total data and 19% of the data has to be estimated The drawback of this approach is that the length of period of recording varies from station to station which has to be considered in the mode! to generate the monthly record 21.4 Nature of Spatio-temporal Monthly 141 nd Speed Data The available meteorological stations with monthly wind speed data at 10 metres height over area of study are only 8 during the period from 1976 to 1995 (Table 4) Table 4: Wind Speed Network Station Number —7 — =n Station Name Mean (m/s) Std Dev —■ *— No. of Records 2 Bedelle 0 74211 3.9224 38 4 Gambella 0 63846 6.4059 104 17 Anger 5 02545 25.389 7 55-------- 19 Assosa 4.23390 20 761 2 118 22 Dembi 1.10909 2 4795 33 27 Nejo 3.51364 34 323 2 HO 30 Dongoro 0.83273 2.1701 165 32 Hoha 1.45588 4 4567 68 Total 2.21433 24.209 6 691 The number of monthly wind speed records during the considered period is 691 (Table A4.i) The percentage of this observation as compared with the complete and continuous data from J976 to 1995 (for 8 stations over 20 years of 12 months) is 1,920 records or 36 % with 64 % of the data missing As previously the number of infilled data, (64 %), cannot be estimated from the 36 % existing data. The number of infilled data points will be only 185 (see Table A4/ii) and the total number of continuous data, observed and infilled is 876 (see Table A4/1ii) Then the observed data represents 79 % of the total data and only 21 % of the data have to be estimated Parts of this missing data will be estimated using a multiple linear regression model and the estimation procedure is covered in the Data Analysis Section TAMS-U LG Baro-Akobo hHegratfil Develop men I Mulcr PlanWATER RESOURCES 2.1.5. Nature of Spatio-temporal Sunshine Data ANNEX IA CLIMATOLOGY The sunshine data used in this study covers the period from 1975 to 1988 over 7 stations spread over the Basin (Table 5) Table 5: Sunshine Nerwork * Station Name Observed Sunshine (hours) No. oT Data Points 4 Gambella 6.16 80 7 Gore 5.99 71 17 Anger Guttin 693 120 19 Assosa 6 43 123 27 Nedjo 603 60 30 Dongoro 6 72 85 32 Hoha 681 48 The number of the available data records within this period over these stations is 498 (Table A5/i) which is 42 % of the supposed complete data without gaps and missing 1 176 T records (7 stations over 14 years of 12 months.) So the available data represents only 42% of the supposed total data Consequently the number of infilled data was small (58%) It was not possible to estimate from the 42% existing data all the missing data The total number of infilled data points is 265 (see Table A5/ii) and the total number of continuous data, observed and infilled is 763 (see Table A5/iii) The observed data represents 65 % of the total data and 35% of the total data has been estimated As a result, the length of record depends on the different stations, and after infilling, among the 7 stations, 2 stations could get a single full year of data (see Table A5/iii). 2-1.6. Nature of Spatio-temporal Evaporation Data The Evaporation Network is presented below as Table 6. Table 6? Evaporation Network Station Name Elevation Station — Name Elevation I Abobo 455 20 Bambessi 1460 2 Bedell e 2005] 22 Dembi 1850 4 Gambella 440 23 - -J Gimbi 1970 6 Pokwo 425 25 Kurmuk 6601 7 ^Gore 2024 26 Memdi 1950 8 Jikawo 410 27 Nedio I960 10 Xletu 1690 30 Dongoro 1870 H4 Mizan 1400 32 Iloha 1500 15 Wush 1920 36 Wama 1550 17 ' Anger 1500 42 Bonga 1650 18 ■ A'-’° 2526 TAMS-ULG Barfr-Akobo Integrated Development Master Plan 1A-3WATER RESOURCES annex ia climatology The data collection received from the National Meteorological Service is presented jn Appendix A8 The Penman methodology has been used 2.2 Data Analysis 2.2.1 The Patching Model In this Section the Patching Model will be explained The Patching Model in this study is used to estimate the meteorological and hydrological data gaps It is adopted from Pegram (1985) of the University of Natal (Republic of South .Africa) As discussed in Section 2,1, the rainfall, temperature, relative humidity , wind speed and the sunshine data possess gaps in then tune series To solve this problem, the Patching Model is used What the Patching Model does is to infill the missing data through estimating the data using multiple linear regression techniques The Patching Model • fills missing data in the records, say, meteorological or hydrological records to extend the short record in order to match the longer records in a homogeneous climatic region. • uses a well defined multiple linear regression in a stepwise mode in conjunction with the EM algorithm The program can be patched in operation mode iteratively when the gaps in a set of 10 stations with record of 80 are used The records are descasonalized and uncorrelated prior to running the Patching Mode! to enhance the regression between the independent and normal residuals It is important to note that the EM algorithm is based on the notion of recursively substituting the regressed data for the missing and then re-estimate the regression coefficients This algorithm has been proven to maximize the conditional likelihood function and to converge monotonically There are three major steps in running the Patch Model 1 To prescreen the standardized data to detect gross outliers 2 To patch the data making use of multiple linear regression and the EM algorithm 3. To analyze the residual in order to identify the outliers that have large influence on Thr retm*ccinn ° To infill the missed data for rainfall, temperature, relative humidity and sunshine, the Patch Model along with EM algorithm is run for each meteorological element making use of the surrounding stations The outputs of the Program show a great improvement in the gaps of the meteorological time series data as shown in Table A2/i For example, prior to estimating the missing rainfall data, there were 7.760 records out of 20,664. After infilling the data, the number of monthly rainfall data increased to i 7,712 (86 percent of the complete number of data which is 20,664) In a similar manner, the number of monthly temperature, relative humidity, wind speed Lid sunshine time senes grows considerably as indicated in Table A2/i, A3/i, A4/i, and ASA. TAMS-ITLG Baro-Akobo Integrated Development Muter PlanWATER RESOURCES ANNEX 1A CLIMATOLOGY Table 7 presents the effect of infilling missing meteorological data using the Patch Model and EM algorithm Note that the percentage of available monthly data and infilled data are taken with lespect to the total number of number of stations times the complete period of the data under investigation. Table 7; Summary of the Climate Data Available No Climate Period of Stations Elemem Observation! Gaps Available (%) Data (AD) Infilled Data (ID) Total AD+ID 42 Rainfall 1952*1992 38 7.760 (56%) 17,712 20 Tempera hire 1952-1988 35 (44% > 9 952 (70%) 1 302 (30%> 4.392 6 Humidity 1952-1986 34 3.090 993 (81%) 231 (19%) L224 I 8 Wind 1976*1995 36 691 (79%J 185 (21%) R76 I i Sunshine 1975*1988 42 498 )65%J 265 (35%) 763 ’ An example of the analysis of the output of the Patch Model is presented in the Hydrology' Report. Annex IB for the grouping of the hydrometric stations 1, 8 and 6. The Monthly Observed and Infilled Rainfall Data per Station is presented in Appendix Al. The Monthly Observed and Infilled Rainfall Data per Year is presented in Appendix A2. The Time Series Graph of the Annual Precipitation is presented in Appendix A3 The Monthly Observed and Infilled Minimum Temperature Data is presented in Appendix A4 The Monthly Observed and Infilled Maximum Temperature Data is presented in .Appendix AS The Monthly Observed and Infilled Wind Speed Data is presented in Appendix A6 The Monthly Observed and Infilled Sunshine Data is presented in Appendix A7. The Monthly Observed and Infilled Evaporation Data is presented in Appendix A8 2-2.2 The A djustment of A verage Monthly and A nnuai Rainfail The word adjusted is used to mean the station weighted observed and infilled average monthly or mean annual meteorological elements listed above. The computation of the adjusted rainfall (monthly or annual) involves two steps. The first step is the infilling of the missing rainfall using the Patch Model discussed above The second step involves the weighting of observ ed and the infilled rainfall (monthly or annual) with the number of the observed and the infilled data uring the following Xa- {(Xo * No) + (Xl * Ni)}/(No+Ni) where Xa is the adjusted value, Xo the observed value, Xi is the infilled value, No is the number of observed data, Ni is the number of infilled, and( No+Nt) is the total number of observed and infilled data. To illustrate this formulation, let us take the average rainfall for the month of July (Table 8) For this month, to get the adjusted average monthly rainfall value, the observed number of rainfall data (671) and the observed rainfall (272 4 mm) as well as the infilled number of date (805) and the infilled rainfall (278 6 mm) is taken. Then, the adjusted average rainfall is equal to ((671*272 Tr (805*278 6)/1476)} mm which is 275.78 mm. TAMS-ULG Raro-Akobo Integrated ttevriopment Muter Plan 1A-10WATER RESOURCES ANNEX 1A CLIMATOLOGY Table 8: Adjusted. Observed and Infilled Average Monthlv Rainfall Month Rain (mm]__ L No. Records ’ ~r Observed Jan Feb Mar Apr Ma%_ Jun Jul Aug Sep Oct 18.82 24 23 61.85 87 62 19163 238 98 1892 24 44 62.58 90 06 18 75 i 24 08 61 28 85 63 195.29 242 79 188.60 235 73 275.78 273 50 248 91 128 93 45.16 24.35 272.41 27445 254 03 13198 45 23 23 21 278 60 272 70 Noy Dec 244_85 12653 45 10 ' 25 15 The accuracy of this procedure in depicting the observed average monthly rainfall is given in Figure 2 Figure 2 The Spatio-Temporal Observed, Infilled and Adjusted Average of Monthly Rainfan The coefficieni of con-elation between the observed and the adjusted average monthly rainfall exceeds 0 999 This high correlation value (Table A6) vividly shows the effectiveness of the procedures to mimic the actual value It is important to point out that by infilling. new information is not provided; the existing data is manipulated to extend the observed data For all the stations the level of significance is less than 99% So the hypothesis - that the coefficients of correlation are nil between all the stations can be rejected with a confidence interval of 99% Furthermore, the ratios of the observed average monthly rainfall to the adjusted and to the infilled shows that the values of the ratios between the adjusied rainfall TAMS-ULG Baro-Akobo lntegraicd Development Mtmer Plan 1A -11WATER RESOURCES ANNEX 1A CLIMATOLOGY on the observed varies from 0.98 to 1 04 (see Figure 3) and for the infilled on the observed ranees from 0 95 to 1.08 These ratio ranges indicates that the adjusted values are closer to the observed than the infilled Figure 3: InfdJed and Adjusted Ratios on Observed Monthly Rainfall Ratio of the Adjusted and Infilled to the Observed Rainfall MONTH The following Tables describe the climate in the Baro-Akobo Basin using adjusted values TAMS-L’LG Baro-Akobo Integrated Development Master Plm 1A-12ANNEX 1A CLIMATOLOGY water resources Table 9: Average Annual Adjusted Observed & Infilled Pree.pitation Rain Data Rain Year J'ror Rain Raw Data Rain L Observed Observed 2320 ' \ Infilled 1780 —------------ 159 1941 | 31 1800 !J97 1526 1572 1716.54 1859 89 1653 .... 199 1955 1784 79 1906 r 128 , 1710 208 1956 1750. JU 1707 1629 1707 1662 1957 1692 48 1815 I 137 1628 259 1978 1637.62 j 1619 236 1654 1 ■ ■ ■■ — 1958 164397 1768 i 126 T 1586 270 1979 , 1535.98 1483 1585 ik 1959^ 1625.21 1845 137 l509~[ 259 1980 1609 43 1669 337 1488 r ■ 16? I960 1 1685.06^ 2036 T 93 | 1577 303 1981 1458 31 1494 351 1377 151 1961 1687 51 1962 94] 1608 326 1982 1500 36 1520 356 1454 141 1962 161129 1554 95 1628 325 1983 1463 93 1597 324 1225 180 -------------- — 1963 1591 77 1637 9?1 1579 325 1964 1625 94 1575 66 1635 354 1984 1399.55 1456 348 1273 156 1985 1617.07 1767 406 995 98 1965 1595.26 1581 80 1599 340 1986 1391 12 1408 412 1314 92 1966 1710.03 | 1899 82 1664 338 1987 1620 79 1703 429 1148 75 1967 1640 20 1766 103 1599 317 1988 1747.02 1941 3671 1176 196ft 1592.49 1535 107 1612 r Jl3 1989 171526 125 2ofl 1969 1724 20 1970 88 1659 332 1990 1699 22 1899 248 F 1496 1758 197 1 1637 187 1970 | 160189 1691 84 1581 360 1991 1617.09 1653 ’ '1-2 ’ 1588 212 1971 1579 24 1 1635 1—21 1568 370 1992 1806 72 1925 1 152 1729 1 232 1972 1547 86 1740 122 1475 322 _______ 1 Table 10: Average Monthly Wind Speed (m/s) per Station TAMS-ULG Biru-Akobo Integrated Dcielopmeiit Master P/xdWATER RESOURCES ANNEX 1A CLIMATOLOGY Table 11: Average Monthly Relative Humidify per Station Station Month Gambella Mean Gore Mean Anger Mean Assosa Mean Nejo Mean Dongoro Mean Jan 65 6 51 88.1 53 71 59 Feb 608 48 84 3 50 64 59 Mar 59.3 44 85.3 53 62 73 Apr 64 2 55 82 65 66 62 May 73,8 68 87.1 71 77 80 Jun 75.3 73 93.4 - 77 83 90 July 78 2 81 944 84 84 91 Aug 78 0 78 96 83 84 91 Sc Pt 76.0 78 96 81 84 88 Oct 71.0 65 909 78 81 80 Nov 66.7 63 889 69 75 ------ 71------ Dec 62 6 55 86 4 53 73 64 Total 69 ,29 62 83 89.4 68 08 75,33 75 83 Table 12: Average Monthly and Average Annual Evaporation per Station Station ! i 2 4 6 7 8 10 14 15 17 18 20 22 Nunc Elev- Ju Feb Mir Apr May Jud Jul Aug ■tiofl i Sep Oct Not Dec Total Abobo Bedrik 455 119 132 161 153 129 114 108 114 117 123 114 116 1500 2005 124 137 143 1 139 141 141 | in 96 100 Gambeila 440 136 140 176 161 • 130 116 136 140 1530 113 107 113 116 124 120 Pokuc 125 156) 425 127 138 172 162 | 114 113 109 107 118 127 118 123 154S Gore 2024 145 130 152 138 121 97 96 97 103 125 125 Bl 1460 Jikawo 410 112 109 149 152 115 88 88 97 110 108 107 99 1334 Metu 1690 116 133 56 159 123 102 Mizan 1400 114 118 134 130 123 109 Wush 1920 111 116 134 131 126 111 93 98 101 121 10S 111 1321 100 103 ' 107 118 110 109 1375 Anger 1500 110 121 143 150 127 100 103 107 119 107 108 ’ 1373 109 100 103 103 116 104 105 1391 jArjo 2526 106 114 J3B 131 119 100 89 94 100 111 Bambessi 1460 128 145 169 161 122 Dembi 1850 111 1)9 139 135 112 99 91 97 91 92 93 98 95 98 115 105 105 1313 101 121 1420 102 108 23 Gimbi 1322 25 Kurmuk 26 Mend! 1970 118 131 132 154 124 102 93 96 100 112 114 115 1411 6601 163 181 205 199 151 125 114 118 116 127 130 152 17gT 1950 116 131 144 144 125 104 99 92 95 109 99 107 1365 - H 5tedjo 30 Dongoro Hoba _ 36 Wama 42 Bonga 1650 I960 106 130 142 141 122 101 96 91 93 108 98 106 1334 1870 117 128 I 150 15! 114 93 84 87 92 102 103 106 1377 1500 1*4 161 187 170 140 109 106 136 96 112 105 130 1596 1550, 116 126 162 145 133 112 ' 91 95 101 114 111 110 H16 Mean 114 118 131 127 119 106]99 101 104 114 112 109 1354 121 131 149 N9 126 10?\ 9&d| 101 103 115 III 116 1430 TAMS-ULG Baro-Akobo talegrated Development Master Han 1A-14WATER RESOURCES ANNEX 1A climatology 3. THE CLIMATE OF THE BARO-AKOBO RIVER BASIN In this Section, the adjusted average monthly or the adjusted average annual times series of rainfall temperature, relative humidity, wind speed and sunshine averaged over the Baro-Akobo River Basin will be discussed Here, the word adjusted is used to mean the station weighted observed and infilled average monthly or mean annual meteorological elements as discussed in the Data Analysis Section. 3.1 Spatio-temporal Average Monthly Meteorological Elements J. LI .4 verage Monthly Climale Data over the River Basin (a) Average Monthly Rainfall Pattern The temporal partem of average monthly rainfall over the Baro-Akobo River Basin is depicted in Figure 4. This temporal rainfall pattern has a single peak with a maximum value (275. 8 mm) in July Over the basin, average rainfall greater than 100 mm occurs from May to October (six months of rainy period). Months with average rainfall greater than 200 nun are June. Julv, .August and September. On average, November, December, January' and February are the dry months over the Baro-Akobo River Basin. Figure 4: Average Monthly Rainfall Pattern over the River Basin Distribution of the Monthly Rainfall 1— 1 0< -------------- i JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC MONTH TAMS-ULG Birn-Akoto In (tinned Development Master Plan 1A-15WATER RESOURCES ANNEX 1A CLIMATOLOGY (J) Average Monthly Temperature Patterns The spatio-temporal mean of the minimum temperature and of the maximum temperature for all stations in the Baro-Akobo River Basin are computed as discussed in Section 2 These temperature fields are plotted in Figures 5 and 6 The average maximum temperature plot is given in Figure 5. According to this plot the mean maximum temperatures greater than 30 C occur from February to April while June and July have minimum temperature, values less than 25 C The pattern of the mean maximum temperature assumes a sinusoidal like profile Figure 5, Average Monthly Maximum Temperature Pattern over the River Basin. Mean Maximum Temperature The mean monthly minimum temperature pattern shows a maximum temperature value in .April and a minimum temperature value in December This mean minimum temperature curve indicates a skewed profile and mean minimum temperature greater than 15 5 C concentrated from January to May From June to December, the mean minimum temperature values range from 15 4 C to 14 C The mean minimum temperatures from July to October fluctuate very little However, the range of mean minimum temperature as depicted in Figure 6 is around 14 5 C TAMS-ULG Baro-Akobo Integrated Development Master Plan 1A-16WATER RESOURCES ANNEX ia climatology Figure 6. Average Monthly Minimum Temperature Pattern over the River Basin, (c) A verage Monthly Relative Humidity, Wind Speed and Su nshine Patterns The average monthly relative humidity for 1200 local time is spatially averaged from six stations for the whole Basin and temporally from 1975 to 1988 (14 years) The number of stations taken into account to analyze the average humidity at 1200 local time is very few to represent (very low sampling) the average humidity climate over the Basin in question. The average monthly relative humidity pattern at 1200 local time is plotted in Figure 7 This relative humidity pattern resembles that of the average rainfall partem discussed above. On average, the maximum relative humidity (%) at 1200 local time occurs in July and September while the minimum value occurs in February More than 80 % relative humidity at 1200 local tune occurs in July. August and September In general, the recorded average monthly relative humidity is very low’. This can be accounted for by the few recording stations and station elevation .All but one station has an elevation below 2000 m TAMS-ULG Baro-Akobt) Integrated Development Master Plan 1A-17WATER RESOURCES ANNEX IA CLIMATOLOGY Figure 7: Average Monthly Relative Humidity over the River Basin. DISTRIBUTION OF THE MONTHLY HUMIDITY The average monthly wind speed (m/s) distribution in time is given in Figure 8 The profile of the wind speed decreases from January to October then increases significantly in November and December The maximum wind speed is just below 3 ms in February The minimum average monthly wind speed occurs in October and has a speed of around I 8 m/s Figure 8: Average Monthly Wind Speed over the River Basin TAMS-ULG Ban>Akobo Integrated Development Matter PJanWATER RESOURCES annex ia climatology The temporal pattern of the average monthly sunshine is the mirror image of average ranfal) and average monthly humidity distribution - Figure 9 The maximum average momh)y sunshine (around 8 hours! occurs from November to February and the minimum from June to September (slightly above 4 hours) The temporal patten of the average monthly evaporation correlates well with the monthly mean maximum temperalure distribution The maximum average monthly evaporation occurs from February to May and the minimum from June to September Figure 10: Average Monthly Evaporation Pattern over the River Basin. Mean Monthly Evaporation Distribution TAMS-CL G Baro-Akobo Integrated Bevdopmem Master Plan 1A-19WATER RESOURCES ANNEX 1A CLIMATOLOGY X 1.2 Time Series of Average Annual Meteorological Element la) Time Series of Spatial J verage A nnual Rainfall In order to examine the year-to-year variation and trends in the time series of average annual rainfall over Baro-Akobo River Basin, a time series plot of average annual rainfall from 1952 to 1992 over the Basin is depicted in Figure 11, This graph shows very vividly a decreasing rainfall trend from 1952 to 198-4 During this period the rainfall reduced by about 400 mm In the annual rainfall lime series. 1984 and 1986 are the driest years. During these years, the rainfall amount was less than 78 % of 1952 (the wettest year) After these two drought years, the average annual rainfall pattern shows an increasing trend and in 1992 the rainfall value reaches to the level of 1952. Figure 11: Time Series of Spatial Average Annual Rainfall over the River Basin Distribution of the Yearly Rainfall Year fb) Time Senes of Spatial A ver age Annual Temperature Time series plots of spatial average minimum and maximum annual temperature over Baro- Akobo are shown in Figure 12 and Figure 13. The temperature time series covers from 1952 to 1988 The average annual minimum temperature temporal pattern shows cold and warm periods In the 1950s, the average annual minimum temperature is below 13 C. It is important to note that only 3 stations over the whole Basin were involved in producing the average annual minimum temperature from 1952 to 1961 These very few stations may bias the interpretation of cold years in 1950s over the whole catchment On the other hand, the 1960s, the second half of the 1970s and the 1980s are warm periods for the Baro-Akobo River Basin, However, the average annual maximum temperature time series shows two different episodes (Figure 13). The first pan is a somewhat stable temperature profile (from 1962 to 1972) while the second is warming trend from 1973 to 1988 (16 years) It is important to realise that the average annual maximum temperature time series from 1952 to TAMS-DLG Ba ro-Akobo Integrated Development Marler PlanWATER RESOURCES ANNEX 1A CLIMATOLOGY 1961 is composed of only 3 stations in whole Basin This makes it difficult to interpret annual maximum temperature profile over this period as the three-station average does not represent the average annual temperature over the whole Baro-Akobo River Basin The average temperature difference belween the stable episode and the wanning period is 2.5 C This average temperature is very high and may be attributed to deforestation and/or over- grazinc A detailed investigation should be conducted to understand the causes of this high maximum temperature differential between the stable and the wai tiling episodes. Figure 12: Time Series of Spatial Average Annual Minimum Temperature over the River Basin Average Minimum Temperature TAMS-ULG Baro-Akobo Integrated Development Masterplan LA-21water resou rces ANNEX IA CLIMATOLOGY Figure 13: Time Series of Spatial Average Annual Maximum Temperature over the River Basin Average Maximum Temperature Year (c) Time Series of Spatial Average .Annual Relative Humidity, Wind Speed and Sunshine The year-to-year variability of average annual relative humidity at 1200 local time from 1952 to 1986 is depicted in Figure 14 Generally, the average annual relative humidity variability was very high from 1952 to 1972 The average annual relative humidity is more stable from 1973 to 1984 In 1954, the lowest average annual relative humidity is recorded over the Baro-Akobo River Basin while the highest relative humidity was recorded in 1965. During the high variability period, most of years have low relative humidity values. TAMS-ULG Baro-Akobo Integrated Development Muster PlanWATER RESOURCES ANNEX ia climatology Figure 14: Time Series of Spatial Average Annual Relative Humidity over the River Basin Year The temporal annual evolution of average annual wind speed (m/s) at 10 metre height average over seven stations from 1975 to 1995 is portrayed in Figure 15 The graph shows an overall decline in wind speed from 1978. with below average speeds from 1985 to 1989 Figure 15: Time Series of Spatial Average Annual Wind Speed over the River Basin TAMS-ULG Riro-Akobo Integrated Development Muter Plan 1A-23WATER RESOURCES ANNEX 1A CLIMATOLOGY The average annual sunshine hours (average over seven stations) shows low variability from 1975 to 1983 and a high variability from 1984 to 1988 (Figure 16). Figure 16: Time Series orSpatial Average Annual Sunshine over the River Basin Time Series of the Annual Sunshine Year 3.2 Relationship between Meteorological Elements and Elevation 12 J Dependence of the Annual Climatic Components on Elevation in the River Basin To investigate the dependence of average annual rainfall on elevation, a Enear regression and correlation analyses were performed The Mean Annual Precipitation table is presented below TAMS-IJLG Biro-Akobo integrated Development Mister Plin 1A-24WATER RESOURCES ANNEX 1A climatology Tab]? 13 Mean Annual Precipitation by Station (MAP) s-kTT» n*»nai vj FT- SATC33 ■3U KVX w ITiTIW tLWTTCM K*T TTE BUU1! HlvMXr rwr IT 3.1141. U *M x 1ILB.1! .<?4 •* LMS 35 7J 1*U-« 43C’ 4U IlM .M •K=. W..TS ] EFTPuW L3Tt.ll aiH.n ■s MO LM2.M WH-H j5M.. ?=» 1?M M Sl« IM 1E*7 H 3W 1 m 111.3b •ni-Ta WP.Uf 135 rr>. >b 741 S it! LCTL Tf LQLP-OD EfiM.31 Mi "IW3.E1 1H 1 “MU aij.n I7M.H F1M-M sib JMt.B l< t 413 lit.*: '373'.. <7 i »4j.eiS- 15 Tfcf 25 !?■ T 3432. PI : HD.55 HM-ET 1? JH! M J ft mi it IC3L. Cl Iflll.10 1S0.CH i fie. Ji E T«) . 11 aaD3.tr 1113.34 ziii ■>• 17 M.47 14 B-fi. T< MP4.00 saw. tn 1711.37 1174.71 l'<* 3i UfNrl? HJl.tW zitr id Ill'S 44 35* its lift J?i lit.1} 1*51.1-! 1714 «1 TJS. Pfi 1151 M 35 4 K It. LI L£ LtW E4K E* 1111.si I» ii<M .as 33* im£ 5KT UP JJ7I «.P XW. 11 SEC Hl IS' 153C S.MI 47 U litC l4J3.il MS im. i5 rtn .r~ IP EEXL33 ta :ii3.»s MI ;■ J BiK Ctrl, u- 14.24 . M ftM.B S4k LWC 3 not-ft ;i 13 X JMT.ft 1}M,W liMP-M 3f. ±u*. 1! ZK ■JM.IBJ 231 i ft 3«E.&7 <1 It isac IWLW ira.n itfcjc. c 2? 5 lltd.DC Ml IP ax:* Tlft-fJ XM3.P3 31*1-31 SEP ,m; 4i 11* ii xJ*5 lit*.n LLM.M mi. m Hi! 7 If 11 LB = :MQ !_!W I.’ L31T.5P 1M3.13 ?n 1M3 ft Hi iW IftS. B 1752.71 im.ii k» mm.P? Z5 E1C‘ ITO m T1 12 J ID t 15 1OB 1JD 13 * M3 31* 11? V* 17* til J 44 5*11 IS 3011.tf mj.34 HH.I1 KOI LI LIDO 11 1T«. rj I Ml. » IM1.H MU-IP ano. n MUI. PS WM. ±t K 3 9. ■ B I! Ill XJ 2tl »l 3H Ml ?3 3*’ 111 Ml Lit 341 IM 531 J Da it) a?* 334 m ill The output of the regression analysis is plotted in Figure 17 In these plots, the middle line is the regression Hue, the two external lines are lines of the individual 95% confidence interval lhe dots are the actual runtali and elevation values The figure shows the lowland areas receive less average annual rainfail than the highlands of the Baro- Akobo River Basin It also shows that the average annual ramfali is related to elevation The correlation analysis the measure of assocnauons. shows that more than 52 % of the average annual ramfall variance is explained by the orogograhje effect The implication of the influence of orography on the average annual TAMS-ULG Baro-Akobo Integrated Devetopmenl Muter Plan 1A-25WATER RESOURCES ANNEX 1A CLIMATOLOGY rainfall is that any spatial interpolation of average annual rainfall over the Baro-Akobo River basin should be done in conjunction with the orography of the region. Considering the orographic effects on mean annual rainfall, orography effect is included in the preparation of mean annual rainfall ischyetal map of the Baro-Akobo River Basin Similar regression and correlation analyses are performed to investigate the relation of elevation with average annual relative humidity at 1200 local time (Figure 19), wind speed (Table 14 and Figure 18) and sunshine (Table 15 and Figure 20) However, the linear effects of orography on these elements are not as clear as that of the average annual rainfall Table 14: Mean Annual Wind Speed by Station Station No Name Wind Std Elev Obs No. Obs Infilled No Infilled 2 Bedeile 7 46 3 51 2005 7.42 38 7.60 10 4 Gambella 620 6 19 440 6 38 104 5.00 16 17 Anger Guttin 50.00 24 10 1500 50 25 55 49.18 17 19 Assosa 42 22 20 06 1560 42 34 118 42 06 86 22 Dembidollo 1094 2 48 1850 11 09 33 9.33 3 27 Nedjo 35 00 31 56 1960 35,14 110 34 32 22 30 Dongoro 8 29 2 05 1870 8 33 165 8 07 27 32 Hoha 14 25 4.57 1500 14 56 68 900 4 Figure 18: Relationship befween Wind Speed and Elevation. ELEVATION (m) TAMS-ULG Barn-Akcbo Integrated Development Master Pt an 1A-26WATER RESOURCES annex ia climatology Figure 19: ReUtionibip between Relutwe Humidity .nd Elevation. 100 r 90 ANGER —•— DONGORO 0 1000 2000 300C ELEVATION (m) Table 15: Mean Annual Sunshine by Station Station Name Sun Std Elev Max Min Obs No. Obt 4 Gambela 6.13 1.34 440 900 4.00 6 16 80 7 Gore 5 88 1.69 2024 900 3.00 5 99 71 17 Anger Guttin 6.93 1 39 1500 900 400 6 93 120 19 Asosa 6.53 2.01 1560 10 00 300 634 123 27 Nedjo 603 1.89 1960 9 00 2 ool 6 03 60 30 Dongoro 6.69 1 70 1870 10 00 3 00 6.72 85 32 Hoha 681 229 1500 10 00 3 00 681 48. TAMS-VLG Baro-Akobo Integrated Development Master Plan 1A-27WATER RESOURCES Figure 20: Relationship between Sunshine and Elevation. annex ia climatology x: 7 0 6.B- CO >, 6.4 1 6.2< GAM^ELLA 6.0' ELEVATION (m) SUNSHINE VS ELEVATION HOHA * DONGORO ASSOSA 1000 NEJO GORE 20*00 3000 3.2.2 Dependence of Relationship Annual Temperature on Elevation To understand the influence of elevation on average annual temperature (mean minimum temperature, minimum of minimum temperature, mean maximum temperature and maximum of maximum) within the Baro-Akobo River Basin a regression analysis was done The outputs of the regression analysis are plotted in Figures 21 to 23 Figure 21 shows a linear relationship plot between mean minimum temperature and elevation The actual values in this plot are contained within one standard deviation of the regression Line To quantify the relationship between the mean annual minimum temperature and the elevation, a correlation analysis is performed. The correlation analysis shows that the linear relationship between these two physical quantities are negative and significant (r=0.86) Elevation is linearly regressed and correlated with mean annual maximum temperature and maximum of mean annual maximum temperature and the relationship is plotted in Figure 22 and Figure 23 In almost all cases, the actual values are confined within one standard deviation of the regression lines. In both cases, the elevation is negatively and highly significantly correlated (r = 0 88 for the maximum of mean annual maximum temperature) The highest negative correlation is obtained between elevation and the mean annual maximum tempera tun- (r - 0 96) This implies that elevation has a dominant role in the modification of the mean annual minimum temperature, the maximum of mean annual maximum temperature and most dominantly mean annual maximum temperature fields TAMS-ULG Baro-Akobo Integrated Development Master Plan 1A-28WATER RESOURCES annex ia climatology 2t: Rd.bowhip b«n«» Man Mhm.m Temfxr.nm .nd Eleven. Mean Minimum Temperature Function of Elevation ELEVATION (m) Figure 22: Relationship between Mean Maximum Temperature and Elevation. Mean Maximum Temperature Function of Elevation TAMS-ULG BarrvAkobo Integrated Development Mister Plan IA-29WATER RESOTKCES ANNEX 1A CLIMATOLOGY Figure 23: Relationship between Maximum of the Maximum Temperature and Elevation. Maximum Maximum Temperature Function of Bevation ELEVATION (m) 3.13 Dependence of Relationship of Annual Evaporation on Elevation The graph of mean annual evaporation as a function of elevation. Figure 24, shows an orographic effect, the coefficient of correlation being 0.71 The Mean Monthly Distribution of Evaporation is presented for the Lower Catchment (elevation less than 800 m) in Figure 25 and in the Upper Catchment (elevation greater than or equal to 800 m) in Figure 26 TAMS-l'LG Baro-Akobo Interned Development Mister PlanWATER RESOURCES annex ia climatology Figure 24: Relationship between Evaporation and Elevation Mean Annual Evaporation function Elevation Elevation (m) Figure 25: Mean Monthly Evaporation Distribution, Lower Catchment Mean Monthly Evaporation Distribution TAMS-ULG Baro-Akobo Integrated Development Mister Plan 1A-J1water RESOURCES annex ia climatology Figure 26: Mean Monthly Evaporation Diatribution, Upper Catchment Mean Monthly Evaporation Distribution Upper Catchment The stacked bar graph of Monthly Evaporation by Station for the whole Basin is presented in Figure 27, for the Lowlands in Figure 28 and for the Highlands in Figure 29 Figure 27: Mean Monthly Evaporation by Station Bar Stacked Monthly Evaporation By Station TAMS-ULG Baro-Akobo Integrated Dnttapmcnt Master PlanWATER RESOURCES ANNEX 1A CLIMATOLOGY Figure 28: Mean Monthly Evaporation by Station, Lower Catchment Bar Stacked Monthly Evaporation By Station (Lowlands) 2000----------------------------------------------------------------------------------------------------------- ioooH lli 0 STATION Figure 29: Mean Monthly Evaporation by Station, Upper Catchment Bar Stacked Monthly Evaporation By Station (Highlands) 2000 ___________________________________ _______________ STATION TAMS-ULG Baro-Akobo Integrated Development Muter PlanWATER resources ANNEX IA CLIMATOLOGY integration of rainfall over the catchments Rainfall gradients in the Highlands are often steep The neiwork of rainfall monitoring stations is rather sparse. One unrepresentative rainfall station can bias the results obtained bv the Thiessen Polygon Method A different method of analysis is therefore proposed, based on correlation weighting. In summary this method is as follows: fa) Select a number of monthly rainfall stations records on the basis of their proximity to the catchment under consideration (b) Calculate the correlation of each rainfall record with the river flow record to be used for the calibration of the Extension Model (deterministic like Pitman Model, or stochastic like Zucchini and Hiemstra Model.) (c) Discard rainfall records having low correlation with river flow (d) Use remaining correlation as weights to establish a weighted total rainfall sequence and convert this sequence to a monthly sequence of percentages of its annual value. (e) Use the isohyet map to estimate by planimetry' annual average catchment rainfall Monthly catchment rainfall is then obtained by multiplying this annual value by the sequence of percentage values. The above method is more general in the way that some stations would have been excluded by the Thiessen polygon and included by this method. On the other hand, some stations can have a considerable weight with the Thiessen polygon and excluded by this method since the correlation of the rainfall with the flow record is very low. The results of the integration rainfall percentage over the different catchments are presented in annex IB-5 of the Flow Report. TAMS-tlLG Bara-Akobo [ntcjtratcd Dnelopninii Muter Plsn 1A-34I JWATER RESOURCES ANNEX IA CLIMATOLOGY APPENDICES TAJMS-ULG Baro-AliObo lntegnicd Develop mtn I Muter PlanI Ji 1WATER resources ANNEX LA CLIMATOLOGY APPENDIX LA-1: MONTHLY OBSERVED AND INFILLED RAINFALL BY station TAMS-ULG Bars-Ako bo Integrated development Master Finn tA - Appendix 1ICMBKR OF OBSERVET MlNTHLi RAINFALL LATA CCR1NG A YEAR OBSERVED STATION ABOBC T, K GAMP-EL LA 1ZABG porwc GORE JI KATO MASHA nwu YAYU YEK1 Valid K valid M V«l;d N Valid Valid SN Valid Valid Valid Valid valid valid Valid * NKN BN■ Y±ir 1952 195) 1954 1955 1954 1J57 1558 1353 1950 mi XHl 194) 1744 L5« 5 1966 1967 ma 19 69 197? 1971 1973 197] 1974 1575 I97fi 1977 1971 1971 19B2 L961 1912 1HJ 3 f 7 4 E 4 ■w- 7 12 12 12 12 3 12 12 4 4 5 2 1 4 11 12 3 10 5 12 9 11 12 4 3 f ff 5 12 12 12 12 12 12 1* 12 12 12 13. 12 5 5 ID 11 11 12 12 12 12 12 12 ■ 4 B *0 12 12 12 12 12 12 a 12 13 13 13 12 19 4 ID 12 10 12 12 $ 12 12 12 11 1C- 4 12 12 12 13 12 12 12 13 12 12 13 12 11 12 12 12 12 11 10 4 12 12 12 12 12 12 12 « 12 12 12 11 12 12 12 12 12 12 12 12 12 12 11 0 12 12 12 9 6 12 12 Q 12 12 10 12 12 12 12 12 12 3 12 5 159 4 10 1965 9 1965 12 1967 12 190R 1989 l$90 1991 1992 TOT 80 4 12 5 12 4 a 12 12 12 13 ID 10 11 3 2 10 10 12 12 11 98 12 E uu 14 12 11 12 12 10 u 11 12 12 10 12 12 12 12 12 12 12 12 12 12 12 L2 12 11 7 12 7 11 7 12 12 13 10 7 4 12 7 12 8 12 9 12 12 12 7 7 5 5 7 7 13 12 13 13 11 12 12 12 11 128 1C 12 11 7 S 12 12 12 12 12 9 10 201 u ii u j Ll J u u :3 13 ]3 i: 13 13 U 12 12 72 12 12 205 12 12 12 7 200 13 C 215 •0 97 255 210 1105JUK3TP HF COSEITET MGtmn.Y RAIWFALL nATA Z^T.rPM A YEAA CHA.VKA roai giro; i&ra'TEr STATICS VTIRMUKme hot KJD WE’LE raroo :■ -W&DR' JASLSD KILTLl SEE'RYA HAMA VAlld Valid valid Valid M5 Valid Valid M Valid Valid Valid N5W Valid valid F valid s valid SI Valid Valid Valid ■i y a 1 2 12 11 8 : J J 97 13 11 1 £ 7 ? 7 3 12 12 12 11 11 13 U 13 12 13 11 12 11 11 6 11 12 1 3 ia 10 ii 13 1 ID 4 11 :i 12 € 47 9 12 Iff 12 ID 4 7 11 10 7 11 13 13 11 11 49 11 7 13 12 12 1& 12 13 11 11 12 12 ii 12 a 8 11 12 10 7 11 12 11 12 11 in 3 ii 13 11 12 12 » ■ 12 12 12 3 12 11 11 11 J 3 Iff 11 12 2 ii 12 1? 12 4 £ 7 12 12 12 11 7 u 74 13 12 12 13 12 u4 13 11 13 7 7 ID 10 11 12 11 11 8 12 B 12 12 12 10 11 * :3- ® ar Iff 12 12 12 11 Li 12 11 3 12 11 11 G 11 12 Lj 12 11 13 U *0 13 h 12 ii 12 12 ;C 11 12 12 12 13 12 12 2 4 11 12 4 13 12 ie ii il 12 12 12 13 12 13 11 13 4 12 12 12 12 5 12 12 12 12 12 11 10 11 10 210 12 13 7 4 11 12 10 12 12 s 1* 307 Xlt> 13 S 275 110 17 3 147 >9 123 1 3" JOI ! 'S (CGrtlEirs-jeNL5MBER OF CBSERra MONTHLY RAINFALL DATA DCTIW A YEAR OBSER'-TT TOT STATION Valid N MJG1 AR JO BEG I OTttA 1 BOTE GETEKA KUR’JHU SBLBEL Valid W Vai id H Valid M Valid K Valid N Valid N Valid S valid N — Yi*X 1952 1953 1954 1955 155$ 1957 1951 1959 JW J961 1942 1N3 1954 ISfiS 196E 1967 1961 1969 1970 1971 1972 1S73 197< 1975 1976 1977 1979 1975 1540 1361 1982 19B3 1914 1916 1946 10 12 12 12 12 12 5 1 11 12 12 32 12 12 12 10 10 12 12 12 12 12 11 12 € 9 12 12 12 12 6 10 3 6 9 5 3 9 fl 7 6 12 12 12 12 12 • 2 11 » 2 2 2 5 12 12 12 B 2 3 3 5 11 12 6 12 12 10 12 12 4 fi fi 12 12 12 10 11 12 12 2 11 19 7 11 7 9 11 12 11 13 12 9 ID 7 10 0 10 31 11 12 9 31 55 174 151 137 126 127 93 M 95 95 66 B0 12 103 107 88 94 74 122 1» 23 9 275 233 232 2)6 242 12 337 9 5 12 6 U & 5 5 12 12 12 11 12 12 11 10 11 12 10 6 12 11 12 11 B 11 12 351 356 324 34 i 4C£ 1JI7 12 19Bi 1985 1990 1551 1552 tot 12 12 12 ID 12 12 412 12 429 11 367 12 244 11 172 152 104 130 134 34 3 216 112 17 L 134 776 0JTMBEM 3F TWHUD XOCHLY SAZXFALL 2ATA 5WIJ»3 A YEAR (continue r Nu *6er ° OtetrvH /nf/Ued JtttofaU D>fi Owtog > Ywmnst of wnu» monthly rainfall data during a year Humber of Obtervod Infilled ftetnfeli Beta During j ytlrt TO:!C * cr Txrrun Honc. jaiwkj. Nl »^r of Object Mf/lled Re/nfeil Diti Owing a YewS-HSFR CF 08SCTVE2 AND INFILLS? HONTHLY RAINFALL DURING A YEAR RAIN static?; 1--------- J " [----------------------- |A3OBQ 'BETFLL| CHORA 3ANML I TANG POKWO YAYU TERI TBPI MIRAX I- '“J 1 Valid 'valid 1 valid Jt N ______ 1Valid N _________ Valid ________ valid Valid Valid 1" Valid Valid -4----------- II| Xl Year ns? 1 12 12 11 1 1 12 12 12 12 12 12 >3 1195 3 1954 I 12 12 1 12 1 » 1 12 32 1 33 1 12 12 12 IH5 1 12 12 11955 1 12 12 1 33 12 ’»« 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 U 12 32 | 12 12 U 12 12 12 ' 32 .1959 12 12 1 12 12 1959 1 12 1 12 12 1 U 11 12 12 32 12 1 12 12 12 I960 12 12 12 12 1 32 1 12 12 12 12 33 1 19 13 12 , 1951 12 1 12 12 12 1 12 1 12 12 1952 12 J9O 1364 |HS5 33 12 U 12 12 12 12 12 13 1 12 « 12 131 12 12 12 12 12 33 11 1 12 12 12 13 12 12 12 12 12 12 12 12 12 u 12 12 12 12 12 12 12 33 12 12 |19« 33 12 12 .1957 1961 12 12 1 12 33 12 12 12 ”” 1 12 33 .3 12 111 12 12 12 12 33 12 13 12 12 12 12 33 12 12 12 12 13 12 12 12 12 12 « 12 12 12 13 33 33 i 33 12 u 12 , 12 12 12 12 |:no | 12 12 12 12 1971 | 12 12 12 12 12 12 13 33 12 U1 12 1 12 12 12 ■3 12 33 12 33 12 12 1 j 1972 197) 1 11974 12 1 33 12 12 a 12 12 12 12 li 12 12 12 12 12 12 12 12 12 12 | 12 12 12 12 12 12 12 12 12 12 12 1 |1»75 1975 1977 12 33 ' » 1 12 12 12 33 12 12 12 12 12 12 12 15 1 11 12 12 12 12 12 12 12 12 12 12 11 1 ” 1 33 12 32 32 12 12 12 13 1978 l 2979 191C 12 ' 121 17 12 13 12 I 12 12 12 12 12 1 12 u u 1 13 i 12 12 12 12 13 12 12 12 12 12 12 12 12 12 12 19B1 12 12 12 12 k 1,1,3 1 \ 1913 | 12 1 12 i 12 I 12 1 12 13 12 1 12 12 u 13 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 1 ,1995 1 1,14 1 1:1 22 1 12 13 12 33 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 13 '1917 1 12 12 12 F |lW I 12 1 u 1 12 « 1 1 13 u 1 12 |19I9 1 12 13 12 12 12 12 12 12 12 12 1 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 11990 1991 | 1 12 12 1992 1 1 1 |TDT 1 I 12 492 12 12 12 12 >••1 401 | 42| 1 12 12 12 12 12 12 12 L2 12 12 12 12 12 12 m 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 401 492 12 12 12 12 12 12 12 — 492 492 490 12 4BC Number of OfaW Will'd H^tbly R>W>1( D t, 91 A?’3 ASfiOS* bambt St s rWNXA |7KMBl 1 CAR£0 XILTD aOlY* taU< 3f 1 Valid ft j. - ’Valid (valid 1 Vaiid M 1- --- ( HKKA. 1 valid K Valid 1 ’-'-lid Valid Valid N _1 Valid p -p I Valid Valid valid 12 12 1 12 il 12 12 1 11 12 12 12 11 12 12 12 12 12 11 1 ! ! s 13 11 12 12 » 13 12 12 :i 12 12 u E ; 12 12 1 12 12 12 12 12 12 12 12 12 12 J 13 3 12 i* XI 11 12 12 12 12 12 12 12 12 12 12 12 12 12 13 1 » 1 rS 13 12 11 « 4T 13 12 12 12 O u 12 12 13 12 12 12 12 H-J ri 01 n 12 12 | 12 13 12 12 12 12 12 11 ia 12 12 13 1 12 12 ( 11 12 12 12 11 12 12 12 12 | 12 1 12 12 (■conf.ir.iR " "™‘« «->«, •mi’.u Oita flurlnp a y ®r e. WAR tot raim static Valid 1 12 1 12 12 12 12 1 12 13 1 12 i 33 1 i 13 12 12 12 12 12 12 12 12 12 u 1 131 17 ’ 12 121 33 12 12 13 1 12 ’ 12 12 12 12 12 12 | 12 22 12 12 12 12 12 12 12 32 1 12 12 12 n 12 12 12 n u» n 12 12 22 12 12 u 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 u 12 12 12 12 12 12 531 15 12 | 12 M7J 12 1 12 11974 12 *1975 1 I2 1 12 1 1 12 1974 ‘1977 12 12 12 12 12 12 12 12 12 12 12 12 11 12 13 12 12 - 12 12 12 13 12 12 (1974 12 1 22 1 12 i 12 1 12 1 ” 12 12 12 12 12 12 [1979 22 19IC 12 191) 1 12 IlW | 12 12 12 12 12 u )XH3 1 U 12 1914 12 32 12 12 12 IMS 12 12 2H< 12 12 12 12 12 12 12 32 12 12 12 JlMJ l'lM9 [ 12 12 12 12 13 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 [1992 | 12 1 12 12 1 12 1 12 12 1991 ; 1992 i I 12 12 12 12 444 12 | 12 412 492 12 12 12 441 12 12 12 492 ( 17712 ror . 240 1 Wu>6«r of OW« MUI* NoflWHy «»/nf»l( M» Ourlnj a Ytvwur tV -WERAGE RAlWrALL BY M23TTH AWL BY STATIC!*uo f4«4S uoiwidpiJd ltrwuy Mtwy Z /o x . •' k»‘- ’ tSO^ M r. <wl €841 EOEt L9TE • 1* C9OE too: SE6T n one 'T 09QE SEOS ,r.e I (OOE: D66T H 989T LiOt 1591 uei Stet ESOE lASX6Z9T aide test Eld 6C(T AIS! 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CO 1474.CO L44S.CO l&SD.CO 132? 00 15M 00 2414.00 2*57.00 343B CD . 2309.00 2359.00 2643-00 1791.00 1919.00 ini. an 19941 . 00 1776 00 L53J.00 * 3754 33 1541.33 I539.30 1544 3E 1697.30 1423.03 1637 05 15H-03 1438.00 L42B.0D 1554 ID 1401 33 • L«7M DO * 14*9 DO 14 36 . 00 H*.oo 741.00 iiij.no 7J1.D3 f.u .no i. 1697.03 116 33 1449 P‘3 173 8.PQ 1550. CO 1571.DO 1431.PQ 1704.CO isn.cQ 2753 OS 1914 00 2475.00 12344.00 55C.QO 3473.nO , I233.no 1412.CO J 707.£3 1775.C3 1543.00 1525.33 154 I Cl! irJIB c: 161 QD 802.00 2 15 ;K 20 2172. >3 ’. 14 7 . 03 11I5.CO 2123.do 2174.33 iaa :a j.nti 2M4 30 2124.DO’ 9L9.00 1592.DO 1372.-30 17|& 00 1465 30 1481.00 1344.30 1512.0-3 159.00 . ■> t 17*7,54 2013.30 + 1503.33 14 5* 3-3 74 . GO 7»i.ao 544 -SO 1564.00 637.00 754 30 175. 250-00 CO 2355■DO 1363.50 141. 162D.DO 1210.03 ■ 914.ca 141 3D 1303.02 1554.GQ 197.30 *93. M * 65 -0-3 136 S3 1-326 .DD IS=9 DE * 6 00 1629 :o 1367-52 97 03 459.0-5 63-:.OD 765. Efl 1933. DO 133.DO 1765.00 145.00 -’ 2015.00 5 8 0 0 42.00 inan.co ana co 112.GO 1CIH DZ' IC7.00 2CB2. DS 1782 DC .. 17»1 DC 1656.DC 204 & QC 1097.EC 575.00 1.0*9,33 1257.00 223.CO 1949 3 3 701.GO 553.C0 1723.DO 1392.03 1395.ns - 1217.30 1385.33 . b 2320-00 fl4. C3 1122.cn 1509.00 3075.33 liss.on ’■0 CO 2663.DD 766. GO 2133 go 793.05 1564 in 22 D 03 till.03 1059 03 'r iaiQ-00 2571.00 2533.00 1724.30 1197.30 34 -33 1573:0 i . ifiSs.oa 20 . OD 116Q.cn 114.00 1950 ca 1579 33 1542.30 1532.30 1909.23 1595.00 1*1*.2a 169-1. DC 1452.10 IOS".CD spse-go 1*64.30 304 fi ni> 325. C-tJ 113.00 :Sl .'3 ifitl6 34 -C 1607.OQ 1700,00 1753.00 J949S.O ■| ■ 8 <34. GO J27.DQ 3563C.0 2SD63-O 1666C-. a 14079-1 49446.5 17243.0 15.cd: 46*32.0 3*993.0 £3145.C ? Of 6 Fnrjii*d PrfcJp^affcn Per Soften&HSEHVED ANT- INFILLED ANNUAL RAIN RAIS STATION MUSE XL^ ANGER. ARJO ASSOSA FUG FLG FIG n6 FLG 0 ■» 1 01 0 1 ° 1 0. 1 1JS3 1J54 1155 1354 195*? 1958 :»59 1160 1551 1SU 1963 1964 1965 '.ft! 1567 1965 1»€9 1970 1971 1,72 197 J 1574 1975 1575 1577 1974 1975 1985 1 Ml 1 982 131J 15*4 1949 1966 19flT 19M 1719 im 1791 19 92 ;7IB.D-3 1146.00 >47.00 1390,00 1657,DD 1750 00 1871.00 1790.50 ilS53 CD 1&J5.DC 1629.00 * 18*6,00 114.00 ♦ IHI.08 19*1 00 1957 00 1701.06 1BJ2.CC • • 1730.DD 163S.CC 1655.00 1118 ,CO 1751.OD ■■ 1653.00 1641.00 190G.00 2157.OD ■ 1635.DO 1921.DD 1899.00 1957.00 1431.OD 1830 OD 1402.DD 1714 .QD 1584.00 1094 00 1577.00 1565 . Del 1588 00 1577.00 1517.00, 1577.00* r 1577.00 1577 . o-a 1577.DC 1573.DD 80 00 1577.00 • 782,00 2607 QB 1364 00 2186.30 1307.00 1145.DD 1204.CD 1211.OD 20)5.QO 1162.00 118).00 • 1744.00 1641.00 1186.00 102,00 1921.00 18 04 . qg 1730.00 14 65, DO 26 00 1559.DC - 1962.DD 1440.Oo 126..00 1495,00 1376.00 1461,Op 1481.00 1210.3Q tJA; L72B.20 1391,10 1125.20 1263,DO 1216,DO kJ25. DO 1204.DC 1322,30 1430.DO 10,30 417 .00 1041 .CO 1610.DO 1719.00 1779.0© 1391.DO - 1222.30 1164.00 1376,0C 1572.30 - 2206,CQ 1246 . CO - 1716.00 1599.00 1090.00 739.03 1222.00 1653.03 2860.DD 1791.50 3133.DD 1435.00 1755.00 . 26*4 DO 156.00 1084.00 2163.DO 151J.00 . 1366,00 1202.05 1172,d: 1225.DD 1255.DO 1188.DD 925.DD 1216.DD 1Q15.3C 1562.08 €0.03 1903.00 64.00 1320.00 1662.DD 3836.DD 1573.DO 1623.DD 51.00 1512,DC 1937.DD i3ii.ee 1959.00 1670.02 1172.DO 2H6.OD 1436 CO 124 on 1501.OD i. 1146.00 1372,DD 143k. DC- 1444.38 1642-20 1596 CO 269 00 1465 00 1424 oc 9C .00 173* .00 i 14)1 DD i, 13*6 DO H34 00 1154 00 1631.00 1*42 00 154* 00 435 . 30 58.2.00 1D4S.DO 96.00 1707.00 1751.00 1711.00 2021.00 1641.00 2297.00 .. 1046.OD 319.00 1623.00 1882.00 * 3814.00 2147.00 1824 00 1*49.00 1821.00 20 3k.30 r * 1107.00 441.00 1572.00 147k.DO 1415.00 78k.DC 361.00 1OM.30 2049.DO 1483.3C 1210.DC .12 Di. .33 1215.DG Z5BX.33 1609.DC 1354 nfl jsiT.ao 1534.OD • - 1733.00 957.00 - • 991.00 219.00 2002.00 J9767.0 12503.D 27248,0 5607.0C 25306.0 32651 0 521)9.0 □449.CO 1013,00 12. OD 2125.30 4(4.OD 713 3 0 3457.30 1048 . DO 3429 OC 1378.00 3173-00 1248 on 1724 DD 1164.00 3(96.00 1430 00 2167.00 1303.00 1941.00 1208.00 218,00 1374 00 1215,00 1469.DD 133.00 1253.OD 1248-00 1038.00 1458.00 I 1221-00 1060 00 1215.00 142.00 1020.OD 1D23 00 4S4.QC 744 00 683.00 913 00 . 73.DC 1D2« 00 2142.00 1262,00 oo €91.DO 1C26.00 1239.00 31308.0 31253.3 13430.5 • 2307.00 2451 00 - 22912.C 28981 C 15D5B =' 3 Of 6 Otatrrtti £ fflHUrtf Annual PrtcfpJMf/cn Ptf StationCSStXVEE AND INTTLLE3 AJWIA,', JUKI* ralh STATlttt gimp I lE^A KCIbCX msed: WUn NOL£ FUG FLG FIG ra 0 1 01 — a 1 ■D — | 31 11C ■ On UOfl-DD jDll-CC L747.0D l_04t.DO j07<- J177.GO 1344.DO 252-00 i32i co 1925.CO 1391.70 USD.£3 330.07 1*64 . DO- J700 - DO 2170.00 1762.CO 402.:o 1844 no 1723 00 * - * R 1454,00 1525.30 132.OB 2059,30 39.OD 1975-00 fi24- 00 1722•DO 3025.00 245.70 121.00 79. CO 155.OO 711.DO 1*34•DO i M2. aa 453 oo 14 9. DO Ll?7.00 635.00 IBS 00 1B34.03 1799.00 1714.00 88.00 n oo 1356.00 1904.DO 1942-20 2*33.00 20*0. -30 1**3 00 1*40.30 1965. 30 2007.-30 2018.00 19*9.30 1635-30 1542.20 1409.00 10IS3.OO . — 454 . DC 1259,00 15J7 qqI 1810.0-3 1433.02 1629.30 1642.30 74 - 00 .. 2103.00 24.OD 1 11*7.30 1512.33 14DC.00 361.00 18*3 0 3 . 1799.O&l USS. JO 21C4.0O , + 1*96.03 1.03 2275,00 9*9.00 1631.02 l.ODi 1*63.SO1 J, GO 422.00 2725 30 74.3 0 1129.00 829.03 1579.BO 31-39' 1771,03 3.00 055.03 •*■ .. 1421.DO 1545-30 3*1-00 1341.CD 21*2.DD £16.03 n 792.00 8 0OO 152.7.00 72 DO 935.D 2 1531-00 771.00 J. k 2015-33 + USS.DO 2345.30 1906.DO 442.CC 144i . C O 819 33 1070.00 12*.oa 1750 33 *46.01 7*5.00 299.BO . 619 :o 1992-05 217,03 719.03 817 DO 2C2J.C3 15*0.00 2037.00 2138-00 J07.GO •60.00 785 70 l*J7 DC r 1363.00 3GB.CD 1644 CO 1262.63 216.00 490.00' 889 DO 156J CC 2G22.00 1 187J.3Q t 3861 CD i 1 1*67.CO 1*04.00 1699-00 - 1762.CO 2 Dll DO 1941 - fl□ | 1909-00 1 1981.00. 1903.00| - 1909.CO 2D)S-U0 190*.00 3.90 1254 OC 12S7.C0 574 .00 1407.BD - 1942.00 3071.03 1 2772.00 e 1417.00 2379.00 2DBC 00 11.DO 1*40.00 1322.30 917 a<s 453-110 1431.CD 1703.00' 1473.Off 21. C 21.0 UBS. DS 9.00 1*19.DC 1321.03 1195.03 33.03 752.00 771 OD 1C76.00 2.00 3S5S.BG 6*9-00 64.00 - 2C65.CD im. to 1961.00 I 134 3 OC 16C1.CC 1532. DO 30.03 1353 00 UDI DO 1*24-00 2225,00 1915.DC .. 1853.30 7.DO 1*37.00 237.02 1024-30 917.DO 161--3D 856.20 1S7*.D3 1757.33 2710.CD 1437 HO ♦ 1196,00 304.02 43.23 16.00 124*.00 1323.33 1589.DO B5.00 545.00 25.00 40 DO 1972 GO , 1605-00 1243 DO 18.00 909.02 1153 03 . - 15*0.0 0 L275.D5 665.03 570,03 744.00 744.00 .. 1720.00 1721.00 504.30 1416.00 ■ 257 *0 997,09 1*72.00 76,DC 2207.00 11.05 120*.3D 2121.03 1453.00 12C8.DD 54. 3D 1514-03 IBD2.0D 1934.CO 941 .CO tn*,,no - 1.05 #34 00 1801.OD - 13.30 54.00 1949.00 1*50.00 1303.00 27.03 1D3.0J >1628.02 619.CO 1763.CD 43. &0 1399.00 173.*0 1045.00 13C 30 1770.00 ILJ ,O0 434.00 ni 3g 55300,D 23255.0 2001,00 1342 DD 1942 _D3 2104.DO 2317.00 1893.DO - 30432.0 1*09.30 1600.DO 1941 DO ♦24,BO 154*.53 - - 2452.53 184.00 1942.00 18 2C.ee- 11654.03 2376.02 2372.03 179?.O3 • 91. oa 821-00 50149.C xo23*,o 113321.a 392*4-0 |227H.fl 787 33 13« OO |l850 C-C 116 00 26** 00 I.CO 877,00 11771 CO 52111.0 1485C.CJ |18387.0 61512.a * of 6 MffUetf Annual PrecJpftaHsn Far Stat/wi:«S6JtVE> AND INFILLED A.W7AL RAIN RAIN STATION YTBDO DCNGORO JARSO KILTD FLO FLG FLG FLG 01 0 10 1 01 Year 1152 1953 1954 1955 1956 195? 1951 1959 i960 1961 1952 19(3 1954 1955 1956 19(7 1966 19(9 1970 1971 1972 • • • • • • 4 2109.00 2104.00 2146 :c 2170.CO. 2172 Oo| 2172.00 2186.00 2218.00 1967.00 2172.00 2222.00 1944 00 j 2112.00 2344 00 2021 00 2060.00 2032.00 1714.00 1753.03 1761.OC 1767.00 1854 CO 1757 00 1845.03 1763.00 1655.30 X5C1.00 1633.OC 1715 00 1564.00 1592.03 1689.DC 4 6 • • • • • . 1765 001 .1 1739 03 . • 1 2047. DO 931.CC 311 03 2C66.00 1572.0CI . 2211.00 1170.00 4 1457.00 1717.03 17X5.OC 1783 OC 1601.00 1542.00 1736.00 1593.00 1736.00 1720.00 1985.OD 1696 00 2033.00 1702.00 1672.00 1651.00 1857.00 1932.00 1427.00 . 1973 1628.00 1572.00 23.20 1974 36.30 1471.00 1975 1970.DC 12.09 1976 1513.0D 1977 1508.00 45 00 1978 1527.30 1979 1516 00 2210.00 * 2177.00 . 2161.00 2286.00 2099.OC 2079.00 1957.00 2044.00 1833 00 1381.03 1602.00 1303.00 1527.00 1246.0: 1635.00 18B0.DO 1593 00 1766.00 174 0. OC 1705.00 1418.00 1495.00 1911.00 1643.00 2524.00 1649.00 Uli 166:3 14W PH 3 3 :i5: - 1!3I K us: 1980 1220.0C 1981 1699.30 1912 191.00 52.00 262.00 1513.CO 1360.00 1707.00 1693 00 1369 CO 363.00 1676.00 776.00 653.00 134S.CC U34 : : 1487.CC nil.c: 1175.CO 1053.OC 1296.OC 315S.00 xi9l.ot 1157.OC 11S1.00 1155.OC 1155.00 1155.0Q 1155.00 3155.00 1146.00 1155.30 1119.20 1477.20 11X7.:o 1355.CO 1319.:o 727.CO 1227.EC 991.EC 479.00 201.00 1839.58 1857.03 446.02 207.33 uu ■» 1981 1459.00 1984 1071.00 1985 184 2 00 1984 1332.00 198 7 1784.00 1984 1515 00 1989 11990 361.00 347.00 1775.00 1816 00 1945 DO 19(4 00 1660.00 2537.00 1552.00 2054.00 2423.00 2222.00 I 1283 . DO 1334 .00 1901 .00 1491 OC 1349.QD 2031.00 14X3.00 1847.CO 1468.00 1493.00 1624.00 161B.03 998.00 1237.00 1429.00 1264.00 1323.00 1306.00 1538.00 1670.00 1557.00 1)33.00 62.00 103.00 913-00 292.CC 1362.30 Hl K 871.CC 3.CD 1112.2: 1060.00 1616.DO 52.00 1756.00 18 00 557.CD 46.CO 1251.00 1579.00 1757.00 1197.00 1650.00 1074 00 975.CC 170420 1C26.CC 1877.CO 1237.CO 1996.02 5.CO 1371 .00 528.00 1889.00 1991 1993 TOT » • 22142.0 1 1979 00 .2167.00 1850 .00 2103 .00 * 2551.00 8734.00 26847.0 • 60138.0 268.03 1934.00 1472.00 113.00 1428.00 1939.02 , r. !? r 14429.C 56767.0 • 17746.0 1687.00 - 1793.00 1585.00 1361.OC 1366.00 1C61.C0 1210.00 1376.00 1129.00 43513.0 12)22.0 L4265.0 •517.00 36311.0 155C9.C 5 of 6 Obtarvad 4 Inf Iliad Annual Precipitation Par StationCBSEMVTL AMt ZlfFILLZD AJQTTAL JUkJJf BCWGA ■ORI UTOA ■ ■■ — — - « wumc; ■■■SKQIL FLO 01 FLG FL“ 01 9 1 x ----------- ----------- ( 0 1 1 11M.00 1147.00 1215 CO 1 11 1------'-1 1------- 1 •1 11031.CO 1 1070 CO $4 CO 1344.30 . 1 00.00 1272.CO 1331 ool 444.10 755.00 1517.00 . 2032 OC . 2011 03 . 2001.GO I . 12060.90 . |2055 10 -.1112.00 706 CO 551.00 ,1144.CO .1 .'2023.00 543 00 425.001114.0:' ' 2112.00 237.00 1433.001 1311-00 1413 00 1247 00 1555.00 455.CO 302 03 232.0: 754 COl 214.CO ii. sol 13. CO II 00 144 CO 343 00 7CB.00 1345.00 1512 CO 1442 OO I 60.00 375 o: I 431.00 232 OC [ 813.001 11)13-DC I I 315.30 1410.OC 11630.CO 11875.OC 1566.00 11906.03 10 00 1254.00 125.30 >rr 25 CC 28.03, 33 03 I ■ . 2531.00 150.00 1132.CO, 51.02I 1X26.00 2345.00| .Il43l ,00| .1 1145.00 ..2454 03|1226.00] OS.DO1 1614 CO ’.165.00] 1545.00 2G11.00] ,1441.00 .'.1543.00 2)3J1-C 47358 o ^266.0 22687 C 5S2S9.0 15909.3 22827.C 3013®.0*13412 41736 0132075.•5Q531.C 16221.0|14112.C ] < of 6 ° bi* ««Mu,,. r, Annual PrecJpIfat/on Per Station1 Correlations: R01 R02 ROS R04 R05 R06 R07 R01 R02 ROS R04 . R05 R06 R07 1.0000 .5924— .6370— .8103— .5385— .5835— .7469** .5924** 1.0000 .7312— .5704— .4375- .6145** .7786** .6370- .7312s* 1.0000 .6920— .4889— .7051 — .8600“ RCfl R09 R10 R11 .7194— .6237** .7252— .6914- .7110** .6639** 8061- .8770- s .8103- .5704— .6920** 1.0000 .5447** .6695- .7647** .6505— .6828— .7192- .65 75— .6848s* .7699** .6476** .7982 * .5385— .4375** .4889— .5447** 1.0000 .5055** .5102— .5838— .6145— .7051 — .6695 — .5055** 1.0000 .6705— .7469— .7786— .5600— .7647— .5102** .6705** 1.ODOO .7194— .7110— .6848** .6505— .5189** .6135— .7121— .5189— .4975** .5208 * s .4379— s ROB R09 R10 R11 R12 R13 RU R15 1 R16 R17 Rlfi ' R19 | R20 R21 R22 R23 I R24 RZ5 | R26 ' R27 I R28 ’ R29 R30 I R33 R34 R35 I R36 R37 R39 R41 .6287— .6639** .7699** .6828— .4975** .6065- .7945— .6636** 1.0000 .7670- .7391 — 1.0000 .6135- .6065- .6715- .6334— .7121** .7945— .9324— .8569s* .6636** .7554*® .7718 * .7252— .8061 — .8476— .7192— .5208- .6715- .6914— .8770** .7982** .6575- .4379** .6334** .8569— .7718** .7391 — .9028- 1.0000 .9324** .7554** .7670- 1.0000 .9028- .6024— .5718** .6914— .5633— .3940— .5024** .6691 — .5865** .5495 — .6526** .6639** .5920— .5847** .6118** .5144** .2999- .4448** .6291 — .6055— .5586** .6680— .6604 — .6763— .5689— .6582** .6503- .4614** .5052— .6698— .6254— .6412— .6869- .5985** .5871— .5643— .5828** .3754— .5119** .5889— .5792— .5000** .5805 — .6196— .7103— .7252** .7611 — .7271** .4979** .6495— .8190— .8193— .7444** .8614— .7982** .7604** .7088— .7465** .7420— .5943— .6692- .8495** .7503— .7105— .8288- .7216— .7701 — .8208** .7580** .4334— .6508** .8625 — .7572— .7451 — .8661- .6348- .7580** .8708- .6742— .6700— .8042— .7618- .5169— .7471** .8233** .6518— .7998** .7360** .6746— .4951** .5928** .8027— .7601 — .7080** .7954 * .7464** .6793— .7848- .7039— s .6723— .749 7— 7969s* .6890** .5663— .6775— .8391 — .7264** .7742— .8047— .7726** .7107— .6196— .7268** .7066** .5576— .5494— .7521 — .6662** .6745— .7748s** .6743— .7834** . 7697— .6589** .5193 * s .6200— .8021 — .7443— .6894— .8139 * .7982— .7268** .8203** .6574— . 7947— .8038** .7336** .5310— .6530— .8611 — .7862** .7238** .8557** .8254— .7261 — .8021- .7599** .7516— .5364** .6627** .8528— .7687** .7355- .8379- .8125— .6503— .7495— .7366** .6906— .4930** .7268- .8160— .7049** .6907** .8020 * s .7731** .6524— .7875** .6873- .6902** .5372— .5880** .8279** .7303— .7160** .8589** .8147** .8278" .7152— .7976- .7902— .7352- .4782- .6855— .8645** .6926** .8243** .7723** .6780** . 4588- .6378** .7694— .6862— .8356s* .7491 — .7090** ,8947 * s .8426** .8534— .7227— .8331— .7887- .7222- .5089— .6428- .7148— .7873— .7770** .7334— .5834- .6084— .8408— .7917— .7169** .8572** .8502** 7851 — .7121 — .8746** .8430** .8052- .7247** .8201- .7897** .7554** .4999** .6656** .8576— .7804** .6946** .8938- .8554— .6069— .6770** .7031 — .6283- .3918- .4889— .7391 — .6222** .6668- .7305** .6872— .6696- .7062** .7544’* .7071 — .5447** .6162** .7809** .5450** .4667** .5326— .4810— .2983** .4525— .5366** . 7240— .7064— .7702** .7281- .6071 — .6715— .8276** .7480— .7994- .8237** .7334** .5379- .6318** .9438*’ .6997— .7526** .7375*“ .7000— .4916** .6474 — .7781 — .8024— .7085** .8037** .8136 * .6675** .6897** .7808- .7108** .6558** .7095— .8226** .6717s* .7890— .7990** .6857— .5115— .6608** .8174** R42 R43 R45 R47 R48 .6520— .7850** .6667** .5783** .4597** .5472- .7992** s .6738** .6055— .6910** .6937- .5975** .6365— . 7454— .6567— .7365— .7505— .7041 — .7001** .6931 — .8493** .7696** .8149** .7336— .8433— .8363—s .5091 — .4733— . 5725** .5286—s .7654** .7139** .8483— .7869 * .7162— .7852** .9161** .8787— .6920** .6967** .8730- .8846 * .7290— .6284** .7612— .7335— N of cases: 120 2-tailed Signif: * - .01 — • .001 is printed if • coefficient csnnot be computed Correlation coefficient of the obaarvao Infills* eolnfoU br «fof/on»:: wr ftfe Q O w“ --* ™ ‘ £i <1 *3 N '* r i ! t I * * * + + * ■ ■■ • • * < ■ ■ * * * * i * * • • w A ■ « It ■ ft Ch h- Pl .-JOS •—A*«f- p*i <j h- frN«nair- ■«O '«ai ’4* w> d rsj r-ji ■£> !S !Ol'> £E!S;*£££3!S!--^ ^ ffi ® «5 S in £? sS £ £ (I 1 • « I I «l« * • fc * ♦ V '■ * « LACJl^l tf — * **<<■•« a « a ■ * ■ • •■ v «««■«■«: «. ■ < • ■•■B F4'C'«G LTi,n»<-*.■N-4Qknra o»- ■ bhq n g «*- <C -" "-■-•‘I ^•i.nihu fMPW’iF'i HOST’S! « q u • ■ * * * ■ • ■ * « « « ■ « « « I. « « A « « « < « « < ««■«««■« I **«+• ■ • a « fl Wk Wi •<= IZI nfl H3 *■'j* i ssKssSSSsaSSS >khirtW*»r’a <isni w «'Q M3 ,Correlations: R23 R24 *25 *26 *27 R01 R02 R03 R04 ROS *06 R07 ROB R09 R10 *11 R12 R13 R14 R15 R16 R17 R18 R19 R20 R21 R22 R23 R24 *25 R26 *27 R28 R29 R30 R33 *34 R35 *36 *37 R39 *41 R42 *43 *45 R47 *48 .6743— .6574** .6503— .7261— .6524— .7834— .7947— . 7495— .502 V .7875** .7697— .8038— .7366— .7599** .6873— .6559** .7336— .6906** .7516— .6902** .5193** .5310— .4930— .5364— .5372** .6200— .6530** .7268— .6627** .5880** .8021 — .8611 — .8160** .8528** .8279-* .7443** .7862** .7049** .7687— .7303— .6894— .7238— .6907— .7355** .7160** .8139** .8557— .8020— .5379— .8589** .8203— .8254** .7731 — .8125** .8147— .5206** .5666— ,4597— .6064— .5218— .5005— .5665— .5061** .5985** .5848** .5556— .5488— .4989— .5483— .5632** .5476— .5584— .5553** .6598- .5840** .8185— .8556— .7723** .8283— .8516— .7944— .8643** .7468— .8556— .8371** .7960— .8373— .7415** .7999** .7925— .7319— .7743** .7383** .7991** .7258** .5270— .8336— .74 V .8621** .7948** .7696** .8073— .7654** .7859** .805 V .6621** .6877— .6366** .6779— .7033— *28 .6926— .8243— .7723** .6780— .4588— .6378** .8278— ,7694 — .6862— .8356— .8426— .5437** .5904** .5545** *29 .7182** *30 .7227— . 7976— .8331** .5431 — .6061 — .5966— .7902— .7352— .4782— .6855** .5645** .749V .7090** .8947** .8534— .5694— .5832— .5920** .7887— .7222** .5089— .6428— .8502 — .7851 — .7121 — .8746— .8430— .5620— .6039— .5779— R34 .7247- .8201 — .7897— .7554— .4999— .6656— .8576— .7804— .6946— .8938— .8554— .553V .5827— .5597— .5882— ,8678— .8628— .8163— .8125— .8547— .8227— . 7284 — .7167** *35 .6696— .7062— .7544 — .707V .5447— .6162— .7809— .6567— .7365 — .7505 — .7041 — .5105— .4982— .5085— .5810— .801V .7526— .7164 — .6989** .7206— .7801 — 1.0000 .8920** 1.0000 .7849— .8611** .8728** .7947** .7849** 1.00D0 .7586— .7665** .8180— .8611 — .7556— 1.0000 .8256— .8415— .8728** .7665** .8256— 1.0000 .8557— .8525** .8216— .5431** .7924** .8201 — .8706— .7661** .831V .8279— .8675** .9080— .7805** .8732— .8382** .9147** .9244** .7841 — .8504— .8638— .8679— .9052— .7824— .5836** .8688— .7698— .7950— .7347** .7779** .7480** .6815** .7220— .6200** .6715— .6505** .7389— . 7807— .7743— .7592** .7604** .8049— .8375 — .7305— .8199** .7761** .7733** .7752** .7207** .8580** .7799*’ .4109— .4268— .4213— .4884— .4738** .7212— .7791 — .7461** .7755** .7803** .8161** .8426— .8005 — .8290** .8405— .7563— .7328— .6905** .7423— .7939— .6824** .7098** .6399— .7526— .6963** .8920** .7947— .8150— .8415** .8386— .7988— .7934** .7518** .8270— .726V .6592— .5557— .8525** .8216— .843V .7924— 1.0000 .8475— .8950— .5640** .8583— .7551** .7022— .7527** .5156— .7964** .4542— .7313— .8166** .7797— .6834— .8682** .8569** .8487— .7968— .8134** .8173— .7748** .8431** .8838— .821V .7847— .8385 — .7871** .7205— .8706— .7661 — .8317— .8279** .8475— 1.0000 .8766— .8533— .8201 — .8675— .9080— *33 .7148— .7873** .7770** .7334** .5834— .6084** .8408** .7917— .7169— .8572— .8052— .5323— .5781** .5580— .6079— .8602 — 8745** .8168** .7888** .8687— .8032— .7509— .9147** .9244-’ . 7805— .784 V .8732— .8382— .8950** .8766— 1.0000 .9199— .8861 — .8978— .7672- .652$** .8042— .8053— .7788** .4764** .822 V .8768— .8257— .7332— .7775— .7125— .7567— .8212** .8353— .5019— .7813— .8376** .8058— .69W .8504— .8638— .8640— .5533** .9199— 1.0000 .9096— .8086— .7634— .7979— .8101 — .8179— .4718** .8175— .8501 — .7600** .7285— .8679** .9052 — .7824** .8836** .8688** .8583** .8861 — .8978** .9096— 1.0000 .7709— .7137— .8094** .8249— .8634— .4539— .7993** .8720— .7952— .7279** .7698** .7950— .734 V .7779— .7480** .7551** .7672— .7775 — .8086— .7709— 1.0000 .6432 — .7285— .7601 — .7100— .4214** .7141 — .7916— .6356’* .5875— 1 of cases: 120 2-teiled Signif: * - .01 — - .001 M . •• it printed if a coefficient cannot be con*xited Correlation coorff* lent of tho Observe* tnfHto* Ralnflll t»y4 I a I a |O £I I Iiru 10*3 mo 1*59 •i OH 1310 •too imo M44 I OOM 14040 15110 imo □Q 0- Ofl.Oo ll«.ll 1*54 mis oj .7 4 440 424 It 1144 •He 11440 in* 1*00 *707 !♦• 7170 0 9 mi.i M co HM >4*0 I4>M 44M 10 KM ISOM MM 10530 • IM M ■93 M M »9 too UM 4440 11770 MM I MM moo 10024 IIOM 1*110 moo • IM M Ml SO • 40 mo 1340 HIM MM IMM i »r»4 • 110 OB an m IUI •* 4*0 mo 4040 imo MM IUM moo toon 10TM ono M Ml SO M •04 mo »oao 11400 IM40 3I0M I4IM imo I04M eno 04 •*4 M IHJ M Oil •440 II MO Hit him 1)040 It HO 19000 •040 *70 tn. oo i*oi *10 1410 KOO 1100 ima MIO 14320 11510 4150 1DOIO HM 011.40 l»44 CO 00 mo • 140 iruo 11410 HOM 14100 •OM 10*10 974| 0- •11 4- 1*4* OO IM too 111014 OSO 0C44 HIM moo 10110 I05M • 2M 0« 005 .0* m« 110 HO 4«O MM IIOIO 7400 io no JMM HIM moo • IM 40 MJ]# IHJ co IM •»o MIO I19O0 HIM 30000 1)400 rs« 14500 4140 Of Ml M ma 10 •00 MO nro 11140 • Ml 72054 I4H0 HIM I054O M 140 421.40 mt M •90 mo • MO i mo •440 1M0B 14*00 10014 mio 4190 M 901. M mo • » •90 mo ••*9 imo MM 103*0 14504 loom I0IM 4TM *0 •01 50 mi IM • 10 1410 4000 imm •♦40 uno 140M teoM MM 4110 04 *11.M im • 10 rto l«DO 4440 him ••SO him HIM IMM l«52O • ISO T9 OH 04 mi 04 IM 1 393 IM 041 ITO1 int 111* TOO 110 0 040 • mo 71 95 141 mi 1010 1010 4441 »•> lilt 40* 0 4 1410.1 i»n 57 JM IM I IM 1010 •oo am •m 0 »1M 4471 0 rww o mo 0 0 »»• 0 I4444 mm N340 •am HO MO 0 0 004 I iwt 0 0 0 ■ Ml M 141 100 140 •4 111 00 io».i itza 0 0 si 111 IM 104 III IM ow 444 2 0 m.o m* f in 4 in 1410 1404 004 100 •SO IMO 1000 7 ar* a nao • i W MO 11* 1171 |4>4 m 1414 IHt IM a I00« .0 l tot • o 0 MO 14)0 >04 >441 ••• 1044 Ml 0 0 •44.7 l*5» 0 0 Ml m HOI tim 14110 mo 2241 •M 4OIB *W mi.i itM 440 430 1140 40*0 11444 13130 14310 11344 1*770 120*0 4014 *•0 1011 * IMO • 40 • IB 111 140 I4M U4O 1111 mi IIM MM XBI I* ♦35.1 I Mt MO • M 1140 4550 11*40 into 14310 >1*40 1571* I3OM 44 It 590 1031.• 1*01 •40 IB • *• 104 *7* too 71*4 itoe **• 1544 IIM 0 1020.0 1442 0 10 37 4540 •44 mi 1*04 13*7 • 50 14*1 •00 IM 0*2.7 IMl •04 lit 514 ■43 IOO* 15*5 1119 01) 1413 ma >ot 0 1004.7 IH» 0 0 Ml 444 1011 111 14*0 l*M 2044 tan 1*3 0 llll.l 1444 0 2 M 201 1174 1770 10*1 mt 144* •01 343 4 032.1 1044 54 1 12 Mt •*• IBM 1*44 1411 1101 444 113 41 ■00 5 711* IIM ion 71* 11* 10 !■*• 1 IMO 10 It lit IT* 1040 1*00 J 4 Bi IK|4 1 IM in ■ 141 1059 2 144* 440 •10 1140 4000 11444 13110 14310 11340 I0M4 12094 •OIB *00 1021.9 mo • 40 •10 11*4 4*00 11440 111 10 14110 11140 15710 il«M •Olt *•■ ion 9 mi BOB 310 •SO 3110 IHOO 0140 15*10 20104 14510 11004 4IM M 10/1 0 1*73 mo 444 1014 3710 Ilin urn 14431 |t*M 10130 131*1 4M0 BOO IO3B 0 1073 00 MB 00 9100 I33SO OOM 1*144 10400 10110 3250 304 lot OU.5 mo OM lit 4454 11544 11400 mo |»*44 iwn 00 11*10 01 oo •1*5 ton HO !•« M OH •50 J 010 1310 14M 3043 424 «f* OB IIM. • 1*14 0 If • IO *74 11 Mt 1107 loll i«n 141* I0B9 MO 14* 11*4.1 1077 0 11 Id 0 • /♦ ■04 1453 10*00 IB444 1010 041 no 10*4.7 mo 00 DO 04 me lie im 24<J2 3434 2400 1010 5110 *10 1310.1 I4M 400 IIM 0 2*5 >051 042 1*1 IBM 70120 l»*0 4100 0 *04.5 IMO 0 0 0 IIM HH 140*4 n**t 14400 414 IIM XQ3 0 1314.7 1M> o • 00 ♦71 1144 IHJ • 0 JO7 0 O4« Ml MT MO 003 IUJ • 0 M» 0 I HI IHJ • !• 00 CB 41 >■ M44 4010 14340 4|4M 1404 131*0 1 1404 90 Illi.7 IM M U1N 04 11154 10344 3114* HOBB |4I*0 142*0 •014 00 140* • I im 04 94 UM m I0IM um 00 O» mao ItIM 5404 10 45| 0- im •4 no »»• mo MIO MM owt ot tom 10730 •no •0 Oil.* IHI *0 •m ■to OOM 101 IIM on IHt UNO IIIW 10 0 711.4 im •9 140 III MOI •HO I JIM 14110 1110 IUH J 4450 MIO 04 741.3 I4BI lit 1010 4110 itroo 10704 2554 into 10114 IIOIB •014 OB M4.1 »•*■ *4 •19 ►»» •Sit moo MM IlMB imt •014 )1*B 4150 to OH.4 not 40 • M mo •040 mn MSB II7VB 14500 10010 torn • 154 • • •02.1 rtM 10 01 m • 74 mo 1004 iw 1144 IMO 5*1 a 005.1 srov 10 01 01 no 401 401 1040 1101 no US 110 H 144 • FOOn IHJ 04 04 311 ra 1331 •02 •01 3143 mso 112*0 33*0 400 011.0 IM4 0 0 43 310 •01 10470 mot IUI1B 15720 IZO94 oiao 720 7*3 4 ma 440 410 4174 0044 • It •02 mt 1144 J 205 1024 0 0 700.0 IMO 0 0 0 4 00 • !• 1 HO ■»• 1411 300 474 MO 0 454 0 IMF 4* 14 140 351 1144 1103 1900 7554 1*421 7307 m 0 on o IMO *• 140 *014 3010 IIOM I MM 141 10 11770 11*40 kOOlO 4010 *00 1004 5< 1400 4M • M IIM *550 1144* 111 10 14110 HIM llUt I7OM 4010 SM 1071.70 him* 40 40 14* 4«4 im 1141 HOI 7151 1541 1224 410 00 1031.fl HOW 11 45 17* lit on 457 511 on 101 514 134 70 170.1 I /11*0 111 14* 471 157 1107 10*1 051 1711 11*1 04* 0*7 1*10 Till 3110 • 37* 003* 1*M •O7O •07 ■ • ■ ttn • 1074 • MM. * mi 7 71*0.* nil.* 7707.9 7770 0 2*17 0 2241 0 TSOI 7 2201 .7 7101.3 1101.1 Mil 0 7*7* « 1100.2 1170 7*1 • 7 I7M 1317 1037 4*73 3700 11*1 nil ■ •01 IM» IM* 1*1* 799 1*7 N 7171.7 4 2* •i •oo 12»3 11© in* IW 1330 *70 w 3* >•*.• 1171 277 • *♦• ■ 71 HOC 1151 3301 till MOT ll«7 • II 2015 « a n • 7 31* 304 310 •31 4*0 3*0 m • 3 • 1 1737 ITS *30 !•» ISO* I«1O 3*10 2*00 1721 >oo« 1101 111* •71 1*75.1 17 17 13 17 17 17 17 17 17 17 17 17 1171 *07 7*4 *71 71*7 20M 715* 1371 441* IHfl 1*30 • 7| 111 70 22*7 3 117* >70 >77 530 711 M17 3*7* 3154 >031 41M 1*3© **« *77 1171.1 1135 022 117 317 1370 3111 I1M 30*1 34 M 11** 117* *11 • 11 l*M • !• loor 3*71 305* 1117 1011 HF7 1*0 • 40 177* Ill 2*15 •17 111* 1057 17*0 3130 2104 1170 1171 •7* 170 O OH 3041 99IO MT* IM 7*1 99 79 3350 2M* 9—9 •oao 1*00 *0 *17 1071 ■ •12 1441 7771 —90 3417 iroi 1701 111 30 721 IM 7371 7711 till 1130 «n» 1107 0*1 1*0 111* 000 3115 ton 771* 7*43 IH1 04 011 1100 401 3721 Mil 1*14 1773 no* >0 • 1 m • 10 >04 • M*l J07O •ii 07* 100* Oil 11SO 1000 HOT 77* 111 111 771 11*1 >??• ©001 >2*1 in IO1I • 11 11 •*•• 37*7 3117 *071 | 1*0© 1101 on 1*10 • 1* •a 3*4* till 1374 *©*• 1110 •** 177 •Ol 7110 1*01 • •>© 7711 >«7« 1 1*71 «!• II* «•* 1*01 10*0 1001 >411 •40* |MI 4 40 *• 770 111* •©*• UM 1*11 •317 no* • »•• • Il •* • It 130/ 13*1 100* Ml* 1*41 997 f •313 !»*• 31*0 99— 9991 •3*1 3107 )«10 1*3* • ••O «*n 99— I IM 799 1017 Mil III! ■ on 19*4 9999 1999 • 71 l*M 111* uro •ill ItM l»— Illi •40 4*4 *17 • 77 5*7 111 •0 *1 • I Ml *7* 71 100 IK 11* 20? 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JJJ ' —*i!‘,,'rr'^^i£iSS2SS^32:f!2^Z M r ’ - - »x - X - -X -xxx -XX -X - • zxixrxxixx Qi: ^®e,t*-o^,=*'*0''* p<JipN*'i'a 4 mKrncM-—j-Km*-iA--£ .4^ FOhroKruKiOfMONK <FOK»rJfw£*fl---c-*K»Kr-A»r- —<A-4f-«3;- o« ‘pg — ££• — CM rv«-•-fM fU T-PM *-•-*—*-nd 'T Hin —fMCQ--^ — rMfMIM*’fM — — »x tx »xxxix OK. •“* ■■-4 r\j — --15 17 18 19 20 22 23 24 26 27 28 30 33 34 35 36 37 39 42 43 45 47 48 1992-93 1992-93 1992-93 1992-93 1992-93 1992-93 1992 93 1992-93 1992-93 1992 93 1992-93 1992-93 1992-93 1992-93 1992-93 1992-93 1992-93 1992-93 1992-93 1992-93 1992-93 1992 93 1992 93 1992 93 47 M 45 M 2. 44 . 0M 0M 27 . 0. 2M 0. 3. 3. 7. 2M 0M 40 H 2H 11 H 34 H 45 M 27 M 29 M 7M 8M 70 M 62 M 0. 17 . 4 M 19 M 2 M 10 M 23 M 99 . 0 . 38 . 0 H 60 H 3 M 16 . 0 . 21 . 0 . 110 . 0 . 95 . 0 M 45 M 5 M 21 M 26 M 83 M 3 M 41 M 18 M 53 M 19 M 36 M 89 M 130 M 20 M 58 M 24 M 78 M 36 M 68 N 8 M 82 M 74 . 139 M 50 . 114 . 151 182 114 10 . 189 182 . 66 M 134 M 50 M 172 M 107 M 250 . 64 M 358 M 74 M 391 M 36 208 . 78 228 . 150 390 M 146 434 . 88 M 329 M 21 M 163 N 45 M 195 M 76 M 153 M 78 M 268 M 123 K 212 M 185 M 222 M 72 M 175 M 208 M 21 M 0 M 0M 94 M 227 H 308 . 336 M 235 . 567 . 517 208 M 182 H 230 219 M 64 . 195 328 . 217 . 338 197 M 252 M 231 200 M 359 M 288 151 . 194 . 143 234 . 372 . 455 310 M 323 M 532 328 . 393 . 317 282 . 230 . 252 414 . 468 M 261 417 . 226 . 313 271 H 403 M 259 317 M 431 M 329 233 M 307 M 197 169 M 358 N 105 218 M 269 M 229 201 M 174 H 246 202 M 177 M 164 2 17 419MM 179 M 190 316 M 164 328 M 167 M 228126 MM 323 229 380 . 294 M 269 . 195 . 185 M 255 M 213 . 519 . 428 M 328 M 272 . 374 M 608 . 310 M 287 M 69 M 129 M 268 M 378 M 276 M 196 M 186 M 667 H 203 H 472 . 182 M 230 . 215 . 129 M 107 M 97 . 141 . 221 M 130 M 183 . 226 H 257 . 175 M 100 M 71 M 44 M 202 M 48 M 205 M 182 N 170 M 269 M 195 M 116 . 105 M 36 . 128 . 21 M 12 M 38 . 12 M 27 M 30 M 39 . 40 M 46 . 38 M 9M 36 M 45 K 76 M 21 M 105 M 48 M 48 M 0M 90 H 226 . 3163 0 66 M 21 . 1210 0 35 . 2002 0 1 M 1239 0 2031 0 3M 24 . 11 . 2204 0 1458 0 1366 0 4M 3 M 1792 0 8 M 1596 0 12 M 2448 0 2 . 2551 0 14 H 1934 0 4 M 1687 0 66 M 1368 0 4 M 1129 0 46 M 1736 0 21 M 1513 0 106 M 1906 0 6 M 1302 0 34 M 1549 0 27 M 2011 0 28 M 1543 0 2372 0ANNEX IA CLIMATOLOGY TAMS-ULG BaroAkubo Integrated 1 Developnwfl* Mist* * 1A - Appendix 3Yearly Rain 1955 1961 1967 1973 1979 1985 1991 YearRAIN (mm) RAIN (mm) RAIN (mm) Yearly Rain YearYearly Rain 4000 Hation ___ARJO GE TEMa Yearly Rain STATION WUSH BONGA 1953 ' 1959 1956 1 Year Yearly Rain STATION YEW TEPI mizan YearRAIN (min) yearly Rain .gV? 19‘58 b STATION GIMB| _HEN!.A ___NEJO __ NOLE DONGORO 1964 1970 ’ 1976 * 1982 ‘ 1988 ’ 1955 1961 1967 1973 1979 1985 1991 Year Year YearANNEX IA CLIMATOLOGY rfl! BSSOt'BCE'S - NTHLY observed and infilled minimum TAMS-ULG Baro-Akobo ln(q?rate<l Develop™'®1 Fl,tu,er 1A - Appendix 4obfebved F«ip*rature Dita.• OF MONTHLY INFILLED TEXpm7UR£ INFILLED station 201 203 2 04 205 207 208 210 213' 214 Vai val Val Val id | id id Id NNKN Val id K val id N Val id K 216 217 218 223 225] 226 230 Val id N Val id Val id N Val Val id id id NNw Val Val Val Val id id id Year 1952 1953 1954 1955 1956 1957 1951 1959 I960 1961 1962 1963 1964 1965 1966 196? 1966 1969 1970 1971 1972 1973 197< 1975 1976 1977 1978 1979 1960 1911 1982 6 i 2 8 1 2 9 2 1 1 1 9 5 11 11 8 11 10 4 3 1 1 3 11 11 11 11 11 11 74 1 12 3 1 9 12 12 12 12 3 12 4-1 1983 11 1984 9 7 12 12 9 1X985 11986 | 1987 1980 3 2 5 16 1 I1 10 10 12 12 3 E 6 I12 12 2 TOT 24 114 3 57 35 34 96 58 Hueber of infilled Mlnlnua Temper 9 fur c Det 9 During 9 Ve*J0sCTVzr * dm« k mi DF 12 | 13 1 12 12 2,2 12 12 12 12 12 12 12 12 13 12 12 12 1 12 12 12 12 12 12 12 13 12 12 12 11 12 13 12 12 12 12 13 1 13 13 2 12 12 2 12 13 1 13 12 3 12 i: 3 13 i: 0 1&3 444 13 12 12 13 12 12 13 12 13 12 12 12 12 12 12 12 13 12 12 i is 12 12 13 13 13 1 12 12 13 12 i is 12 12 13 12 is '13 ISE ■1* 13 12] 13 1 13 12| 12 12 13 12 13 12 12 12 12 13 1 13 12 12 13 12 13 12 13 13 12 12 12 12 13 12 12 13 12 12 13 13 1 33 12 12 13 13 12 | 12 121 12 12 U: 12 12 12 12 11 12 12 12 12 la 13 13. 12 1.2 12 12 12 13 13 12 13 13 12 12 12 12 IS 13 13 12 13 13 13 12 13 i 13 12 12 ■ 11 12 12 12 121 12 12 12 12 12 13 13 12 12 12 12 13 12 12 12 12 12 12 W 13 12 13 12 15 13 13 12 13 IS 12 12 15 12 12 1 l| 15 15 13 12 12 12 52 12 12 13 12 12 13 12 12 13 u 13 12 13 13 12 1 13 - 12 12 13 12 12 12 12 12 ' 12 ! u 12 12 U 12 13 12 13 12 i 12 12 13 13 LJ 12 1 13 13 12 U 12 12 13 12 u 13 13 12 | U 12 13 13 H 13 13 12 ■ 12 iu 12 13 1 13 13 IS 13 12 1- EPE - 144 12 J 20- 20< 4i: 141 -u 12 12 is 12 1 -J 12 Hi 1 101 11=4 iI5! 131 Ji )4 41 48 41 4I| 4 4 <0 44 1 44 40 5C T2 73 TJ. 54 1 161 120 Li3 1 14 bI lid l.io| 152 321 24: 352 352 252 - 252 1 2 53 253 | 252 1 | i Nu "6ef r Df ObSl * tf and Inr/Ued ffanfMf MMJuum Tfnjwrjfupt Data Curfnfl a frir it c d . d e e d d s d dMINIMUM TEMPERATURE PER. MONTH TAKS-ULC MINT si"ATI ON 201 203 204 205 207 208 210 211 213 214 216 217 218 w 225 Max imu m max imu ID Max imu n Max imu E Max i«ru m Max imu E Max imu SI Max imu Max imu tn Max Max imu imu ID m Max Max Max LBSJ imu imu nmn Max imu rn 226 Max imu m 230 Max imu m MCNT H JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC TOT 19 19 21 23 21 21 20 20 20 21 21 19 23 31 19 25 15 28 12 14 27 27 20 28 13 14 26 28 16 22 1* SO 28 31 17 23 15 12 27 26 15 22 15 12 23 24 14 22 14 13 23 24 13 23 IS 13 25 24 14 23 15 13 27 24 14 22 14 13 22 32 14 22 14 14 22 25 15 22 16 13 21 26 15 21 11 50 28 32 20 21 16 13 IS 16 16 18 15 15 14 14 14 13 13 18 16 16 17 17 18 18 17 17 17 17 17 16 16 16 16 16 16 16 17 16 16 16 16 16 18 IB 15 19 16 15 M 16 16 19 15 16 20 16 17 18 16 16 18 14 16 18 13 16 17 13 15 17 1« 14 17 16 14 15 15 14 15 16 17 20 16 18 20 20, 22 18 16 20 18 18 11 17 20 22 1 21 23 23 24 24 23 21 21 21 20 19 19 24 31 33 33 32 32 27 25 32 26 26 20 29 33 14 14 16 16 16 14 15 14 14 14 14 13 16 Average Monthly Mln faun Taaporatura Par Station CLlonwt/Y miKUH Tzyp^Ar.^ x wi station 205 20“? 208 210 211 213 hu 216 217 211 I------ f----------- 223 225 226 230 714 241 243 247 Max Max Max Max Max ,Hur Max HO K*X ta Hix .Mix Haje **ax X*x Mix Fjut imJ ifHU ISU irau | ireii LOU 1®U1=XL irau | imj iru isj Inu nr ffl ffl ms m |e a Hl B a 'a ----- . Irai Isu iau 1<J Uttil aH a3 14 14 14 14 14 14 16 14 14 - * 1 • 1 *■ '' * 4 ■ ■ ■ i i 15 15 16 IS 15 15 15 15 15 IS 15 15 15 15 20 15 14 14 14 11 14 U 11 12 14 12 17 12 14 13 14 14 14 14 a ■1 a +‘ * , * + 14 1 14 . 14 „ 20 « 15 14 i , 14 . 14 17 - J r 30 30 3-3 34 19 32 12 31 31 31 3D J »• . - + 13 14 14 J - - .. IS . 14 * 14 24 16 2C 15 24 15 31 14 37 16 15 2Q 15 20 15 18 15 17 14 21 16 21 16 26 15 32 15 30 16 35 17 32 2C 14 14 + 13 31 17 - 14 1 IB u 53 31 13 * 14 31 13 22 22 22 22 21 22 22 23 22 26 22 23 27 28 14 14 14 ,,, 17 11 11 13 *J 16 11 15 , 31 13 i5 14 16 23 31 11 4 13 ■r ' 17 14 14 20 30 11 14 Ifi ■ 16 14 14 20 31 U 14 16 15 IS 15 20 30 13 14 14 17 14 14 If If 30 13 14 16 IS 20 16 If 13 30 15 15 13 15 17 15 15 IB 16 16 14 30 15 16 U 14 >• 16 i’ 16 15 14 17 18 30 14 16 15 15 15 O 17 IB 13 1* 24 31 14 17 14 14 16 15 17 16 IB 14 22 11 31 14 15 14 IS 15 16 16 16 13 12 Ifi 21 31 14 16 15 14 IS 17 17 IS Ifi 14 20 22 32 If 14 15 16 16 IS 17 15 18- 14 14 24 32 16 12 14 14 15 16 IS 13 14 1J 15 14 IX IS 14 14 16 18 IS 17 20 ____ 24 33 16 17 17 17 4 1? B' 18 » IS 18 14 11 14 17 ll 20 Ifi 22 IS 21 14 22 14 22 15 IB 14 22 1( 1S I 4n flu ( , M <nlmua Tenprraturf per ststfonSIMtQN | A*O»O HIM Tno XF*» MMHIMC /MfUARV 't'.ia.iKii.M n nowTkin MiuMicK nccmo 1075 im 1777 1510 141 RCATIMT MltTORfCK MCORD 114 KI I IB 120 KI 204 114 IBS IM I4B ill 104 141 140 144 104 tTAflOK 4 GARKiA "TOPOLOGICAL *tM KB 142 14? 147 IM 112 I4i 144 134 142 140 171 IM 171 117 132 141 til 1B4 141 140 140 172 145 144 ill 10 103,0 1410 KB 143 1*4 140 142 144 144 104 IM 140 154 144 I BO.4 i*BO 144 144 111 MO IM 104 170 104 127 l?l 111 100 205.4 toil 151 IT2 111 lit 130 1X1 101 140 I4B 151 I IB 121 1*3.0 I4B Ml IM IBB.5 101.0 111.7 niw tit tTAATIW JANUAAT IBS* LOO* 144* 152* 1121 220 222 no IM 200 1051 1704 1951 142* 104* >04 203 191 1*4 230.1 222 203 104 173 144 170 171 l»0 1*7 22O.B 144* 1700 1*9 IM 204 3 231 222 194 115 254 4 l«B2 iwb 144 1440 1244 202* I OB* 1141 1010 IMO Mil I4BO 1040 140* >15.0 1*09 14)0 14M UM IBM 1700 1240 im UBA l?M IBS in 101 111.* |9BS 1B43 Ml* IBIS 111 111 210 201 100 201 104 ir 114 217.0 1*4 140 204 214 202 in 174 120 130 IM in 111 21*.B ' 1017 140 u* 104 20J 201 101 700 100 201 207 210 104 134.4 IIP 1*4 111 104 Ml 1*4 170 1B2 107 IM 111 144 207.2 <l4.BI.tlH*.Al .7*.II 1*34 144* 1034 17*1 1035 1*5 230 225 1074 IM 153* 15H 1*77 in 100 214 1 1 * * 7 7* 0 144 111 IM 134 IM 179 1**0 121 ISO 231 IHi 140 12? 1*7 13*2 114 107 111 U* 143 150 142 130 in 101 131 117 12* in IOS ISO* 170 It* 104 141 137 111 113 171* 2400 M2* III* 1004 1003 <024 134* 210* 23M mo IM* 173* ISO* 153* L4M 193* 1911 222.1 IM 142 140 IS4 1*1.4 103 114 111 11* 170.0 14* in in 155 200.0 114 134 141 142 111 2 1044 142* <494 13*1 197 4 I »M tOO IM 201 110 204 204 200 107 I OB 200 104 IM 210.4 1004 1**R 215 234 10B4 not 100* IOM 1903 <451 m* 201* nt am 1*3 141 IM 174 I2B MO 111 130 111 174 152 20*1 1034 1*4* Mil 1*50 220.0 l»4 202 224 213 254.0 204 100 204 192 253 9- 34* roi 201 1*3 274.0 tn 144 144 154 110.0 STM 11 to 10 24 27 20 14 20 21 n M 30 OUTPUT P«Wt !K I* ILL I HG/< I TENS I ON PO0&NM1 PATCHA IK CQNTtNTS OT TMt Illi I 2*1.PAT AT DATT * Tint 17.0 IOM 100 211 234 IMO 104 204 200 WAN 144 IB* 201 OTOW 21 M 33 STATION 3 MANG HIM "toaoLMICAL TEAA OTAPTIP6 <14.II,1211$.A>.79.11 1973 103* 2004 2M* ns* 1020 IU1 174* list 210* ill* 211 100 202 239 230 111 214 no 2*4 240 2» 233 151 215 194 171 179 in no 190 ill 173 171 IS n 31 33 TO i*i it* 179 149 32*.4 3? 25 M 20 29.4 TRP JMM.KPV HOOILMT HISTORICAL HIMO 292 ns 214 111 212 213 21* 19* IM 299 • 1974 190 205 171 140 ISO 143 11? 130 131 193 MS IM 70* 3 ton 204 2*5 M3 253 25* 240 no 111 JH no 247 205 291® IMO 213* 030 HO* 4? 1013 040 04* 102* 41 Oil 03 01* 115 O 1074 204 250 2*1 313 1*5* Mil 1730 121* 111 no 240 114 244.3 i 1030 loot 105* 115* 227* 1070 34 *0 43 43 34 30 34 114 1 1077 m 240 JJS tn 147 no in 179 199 135 <20 193 111.0 i ton 37? 1240 104* m* to** 03* 07* 114* Ml OM MB 704 143.0 1*30 14* 143 195 130 134 151 14* 141 143 140 107 192 104.4 1032 377 IOM 107* 22*4 IlOO OM 030 HM 004 102* 044 n» 110.0 1079 144 in <01 201 135 <34 140 194 144 140 IM in IM.3 1033 1130 1300 no* 221* 1020 *4* *1* 40* 00 *2 100 •I 111 1 1040 111 2oo Ml 145 139 103 174 ISO 1*9 190 ISO 1*1 IM. 7 1014 373 105* 114* 237* 133* 102* M* 10*0 334 1180 024 034 1*1.1 19*1 173 171 IOS 173 IM 149 190 134 ton 1410 37* nr* 114* 00 BO Bl 01 t» 70 10 *0 133 3 1902 130 130 142 153 140 134 122 12* 141 139 112 129 IM ? 190 191 190 17* ITO 1 1034 34 It? m B3 tot 111 100 104 102 07* ■04 OM 110.2 ion 1770 40* • IM wo MO MO MO 004 *10 7*4 044 04* 144.3 107B 1440 1041 170* MO 1*1* 030 040 00* 70* Mt 704 • 74 140.0 I 1010 UM 103* 110* MO MB Ml 01* IM •04 M* >04 034 144 0 1 IW 107* IOM • 14* too 04* OT* 01* 02* 74* 444 704 004 130 4 1 IOM 141* IOM > HO4i M9 020 M* 104* *2* • 10 1004 74* 030 144.2 1901 192 in 213 JOI 209 174 190 149 149 141 149 104 211.3 19*4 190 <*• 1*0 <905 134* 249* 2*03 19*4 to* 203 no 2094 1010 1710 170* ITS* 2230 2<H 199 119 212 29S 241 210 no 191 1007 220* 227 in MT 202 104 IM 104 1 10B2 HO* 1070 1040 3*4 1030 340 131* 2M loot 9M ( »•» 1104 1234 i ia 140.4 lit * IOM 24 IB 231* no* tirAM 195 201 20* JIM UM 1390 1420 IOM 210 170 170 140 17* KM 34 92 >9 90 41 30 37 19 III* 213* 1*94 1924 224 * 1421 2954 220 no 2M 2 23* US 2M 20T no.* 111 303 231 Z2I 242 3 199* 2IM 199* mo n* l* 172 M2 in M? 234 3 3> S9 91 33 35.1 UN M.fT'.j? , /« . r • ■ aa r r ■— J-» • iff • 1 ■/ j «r Iff • T« r <■* rm XF4 d iff «» HIT 4 Ft 1 H . ... fjl Bo rt ft *»T ■"»• III IFF »• 1 a 0 ■■ iw m rrr I ft ■■ ■ i ij ■ «l a- f 7/ J MF iff r*» IJ< Mt IFF ilv tff jft jFf |#M «r« i vr lO.i JMF iff f Jfl JZF IM !>• IT* 1 If JF» li-r >O 144 1 36 > On t»»t kT4t FFM in 4K4 11* *1* ;1L0 1t» lIlf F»1i |T1 1V*.+ r/ NN m jinr r*j? nr Hi JFF IN MV III/ JU 111 ll« IM v INI l*r ira IOT 144 >•* 111 >3 f Ikl III 111 If* 114 ■ ID 1 .' 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Ml M *■ 101 ■ IE tri Ml Til Hi fii cii irir ■nr ■■■ r ]' mr jS fl Ml r» ■n ■ rr ■ ii ul fit ■ ixi ixi ix r rrr ■■nJ ■ b »»l r»i fl i nr ir ■ me axi fl* i m xxi *rr rn /u» ■ wl Ml wr u rrl iJTI a>fi Mr «rJ ffl ar » ■ r» r Cl 1 ■n i »EI «r Ff» »|4 «■ <14 rli ■ 44 err r «i« ■»»J A * IRl Ul IE* 1 i 1 AJ* 1 MJ 1 iilir LT rri ■Ji ■xr <■ ■x-r / • 4'4 4 IJC 1 I'll BTI KF KF *4 F «M*I «#J4 414 f ,F ■J.a’- if ' fl rr« h ■ /' Ai 4/ *— * *■ “■ ► *■! —■I ?waTE r resources ANNEX 1A CLIMATOLOGY . PPENDW IA-5: MONTHLY OBSERVED AND INFILLED MAXIMUM TEMPERATURE BY STATION TAMSTLG Baro-Akobo Integrated Development Muter Plan 1A-Appendix 5jriMBER OF MCMTHLY OBSERVED TEMrT5JL“5! FttLIXG * ftw 7£45 Number of O&iervid Hanfoty MuHaua Teap^ofuri Oaf a Dtirtog a twrNUMBER OF MONTHLY INFILLED MAXIMUM TEMPERATURE DURING A year INFILLED STATION 1953 1954 1955 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 | 1988 1 9 5 12 12 12 2 2 11 8 3 4 2 11 11 11 11 11 11 7 2 6 TOT | 50 L Number of Infllitd Maximum Temperature Data During a TearS-JMEER 0? -EMTrCLY OaSWED 4 TNTILIST MAXIMX TEXPI7JkTJR* [XJEJKG A TEA? KWC stat: aw 13 12 1.2' 12 wh 13 13 12 12 12 12 12 12 12 12 1 13 ms ;ni 12 U 12 12 12 12 12 12 12 12 12 12 12 12 12 13 15 13 12 13 12 12 12 12 ' 13 11 . HIT HTi 13 11 12 12 12 12 12 12 11 -2 12 1i : 12 15 12 12 12 12 12 13 12 12 12 1 2 12 12 wj 12 12 •*« 12 12 •in 13 12 uij 13 11 12 12. 12 12 12 13 12 12 12 12 w 13 12 2 12 12 2 12 12 u 11 13 12 12 ’.2 12 12 12 12 12 12 12 i 12 12 12 12 2 12 12 12 U 12 12 12 U1 12 1 12 1 J 12 12] 2 12 12 2 U 12 L2 1 2 12 12 2 12 12 12 12 2 12 12 U|= 12 11 12 J 12 12 12 12 L3 12 12 1 U 12 2 12 j ia 2 12 _2 12 12 12 u !15| 12 13 12 2 12 12 12 2 12 12 13 12’ 13 12 12 12 <32 12 13 12 ■ 2 12 12 12 U 13 11 12 12 12 13 13 12 12 12 12 12 12 13 12 12 2 13 1” 4 192 364 13 12 12 13 12 i 34 IS 14 J Otuerved and fnfHlad Monthly N*j/ru* Ttwptrirure Pifi Durtaj ? fearMAXIMUM TEMPERATURE PER MONTH TAMS-ULG — — 101 103 104 105 107 108 110 Ill 113 114 115 116 117 —r lie Max imu tE Max imu m Max imu m Max imu m Max Max imu irau tn Max imu m Max imu m Max imu m Max imu m Max imu m Max Max imu imu mm Max imu m 126 130 Max Max lwu mm 132 Max ixu I 39 42 41 42 39 39 39 37 36 37 37 30 42 26 28 27 39 27 39 40 39 41 39 40 39 41 41 39 43 40 42 40 42 40 39 38 3* 35 35 35 34 34 34 35 36 36 36 38 38 3B 43 40 — 26 38 28 40 28 41 27 41 26 36 23 35 33 22 32 « 34 24 35 24 34 25 35 28 41 _____ 30 31 32 31 32 37 33 32 33 33 32 32 30 31 30 26 26 32 25 26 32 25 26 32 27 27 32 27 28 33 27 29 32 29 30 32 37 30 30 32 29 31 30 30 29 27 29 26 28 29 26 26 25 26 27 30 2B 2B 2B 29 29 32 30 _____ 33 34 26 35 36 25 36 37 25 35 37 27 33 36 25 30 33 24 26 31 24 29 31 24 1 27 3C 24 30 32 24 31 25 33 32 34 « 36 27 37 24 1 12 1 1 32 30 33 1 33 30 35 32 ’1 34 32 26 32 25 23 21 25 23 32 23 2f| 24 26 24 27 26 25 30 26 25 29 29 26 31 33 31 1” A ',,rt0' Monthly M«xllBIJ. Temperature P« Station r W M£ UUHTJB5 \ YZNl WT S7ATIGW ici IM I llH 1OS 107 ton 110 111 113 114 115 116 ti7 118 iH» m in 125 126 130 — ;J2 114 141 142 14 3 147 K*> H| Ki* ffl Kur: kirj m KU| i«rji ffl Max 1irnu LfflU ra « Max lsu ■P! Max irnu m Max Max Max inni in Max iru m M&k in?j ra Max inu m L Max Max Mix Max irfflj m Max iai Max Max 1BU inu irru iix; rzu ixu imu TJ! ■ m ■« •5! '— Xu Lffl 'S Mu U lau '3 Mu La- a. Mu l&J m Max LStt ffl ffl Ys*r ;H2 JJ53 w« 1155 nss U$1 im im I960 LH1 126 J 1M1 :m ih$ ]jfcfi ufii - i-hj s 1>7C 1*71 1972 :>7j 1S7* 1*75 1*71 1*7? 197| lilTi l»9g '981 IHa 'l»13 ^64 13*7 *’4l 4 ■ * * 1 - 4 - 4 • .. - - - 4 r • , . . + . 39 41 32 34 u 37 3? 40 42 □ I 39 IB 39 i 2G 27 27 ■ 24 • 24 35 • 29 27 « 26 • 16 4 27 ... 26 27 25 26 . 26 33 - 26 31 24 29 27 31 a. ♦ • J . . . ■f ■a ■ 19 21 *1 29 27 30 24 30 79 36 32 J J ■ * < ■ IP, 3? 3fi 39 *9 ifl 39 32 40 29 29 71 2 ■ <2 21 42 1 34 41 | 41 41 4D 40 46 40 42 ' 41 41 41 43 H 39 40 3» 39 38 40 3* 1 33 40 39 34 39 39 43 40 27 34 ID * 2« 34 24 29 37 39 35 2* 24 JS 29 2# 19 39 1 26 40 JO 27 40 31 27 41 31 31 1 27 39 31 1 26 39 30 32 24 11 30 31 n 39 11 12 27 2* 13 32 1 28 41 1 33 ei 1 3S 41 29 31 37 30 23 34 13 32 32 13 37 29 2B 29 29 29 31 30 32 JO JC 29 21 32 4 a a 2B 28 29 29 30 29 2B JO 29 26 2a 28 2B 29 2V 29 28 29 29 21 IB 26 24 2B 28 29 28 28 29 21 29 29 28 29 28 39 33 13 33 33 33 16 34 33 33 34 35 36 35 37 ? 33 ’♦ 35 35 35 34 35 « 35 34 36 36 37 ■ 30 34 * 34 - * ♦ 12 10 J 10 a. 13 31 39 12 30 32 IC 12 30 . 13 n 13 S-3 31 r 1 J2 31 . ' J» 31 a Ji 31 Ji 12 10 33 30 25 32 30 25 33 33 25 11 10 26 31 30 4C 23 31 30 19 24 32 30 34 25 32 39 36 31 24 32 29 30 38 24 JI 2> 21 39 25 12 24 21 31 24 H 27 31 39 24 34 29 32 40 27 30 39 21 35 21 23 39 23 33 24 34 3S 21 13 2B 2? 40 24 34 29 20 « 27 34 29 34 .„ a 30 ■ 3D 30 30 30 32 32 31 31 31 3D 30 31 31 JJ 31 JI 30 31 30 37 32 29 32 32 29 33 30 32 31 31 23 32 29 32 19 31 25 31 31 29 29 29 31 30 31 29 29 29 29 n 30 13 29 32 )2 30 35 >4 29 33 35 30 32 15 Jc 32 15 30 13 JJ ID 34 34 31 J5 31 * Jn 32 34 32 34 32 53 30 32 32 10 32 1c 19 79 26 27 29 35 3 0 ID 20 30 30 21 30 29 30 29 30 29 30 30 30 31 30 30 30 32 30 29 33 r. 30 31 lo 33 10 I « 1 M 32 - 29 29 27 28 30 33 35 a« 13 34 ^v*r*g# ADAuaC Martaui Temperatur* Pir 5 fa NonSTATION I *4040 Ml TAF MTOAXOGICAC YEAR HARTING JANUARY 1IIM.2K.12I19.RI ,79.11 HOMTLMf NIITOR1CAL WCO«O i itn NONTLNV Ml STM JCM. RECORD 1420 3054 VM 3770 MM 1250 JIM JIM 31H 3420 3514 1474 410.70 1074 3540 TOM J 5M 1724 3514 >404 J4O4 VM iin 34M ISM 3570 421.10 1979 Mil J05 IM 300 TOO 303 30| 371 1U 341 121 1774 444.0 10/4 3044 4234 370 HO 133 321 313 324 JIS 319 33 • 317 414.7 1077 J24 377 340 370 342 IJ4 334 137 >40 334 345 3» 415.0 STATION 4 CAMILA Ml TAR MYMKXOGICAL YEAR STARTING JANUAAV |HO 410 474 4/0 422 J45 3130 377 111 370 153 1544 MM 430.5 <14.21. l2ll5.AI.70.il IMI 301 •00 301 Ml 134 341 XM 313 317 341 350 370 421.1 1002 304 347 <02 3054 3270 3 MO 3344 3104 1320 MIO 3400 3474 413.5 100 J MOO 401 • 3004 3024 MM 1200 3004 ino 3210 3 MO 34/0 3704 424.0 IS7R 371 377 347 352 330 340 319 314 J|7 no 120 342 400.2 1044 IODO 4050 4014 4010 Ml 111 329 no 3340 3400 342 342 420.4 I 1979 155 J 75 347 342 340 JJO 122 310 334 333 132 127 •on o 1005 4014 4034 4100 •Oil 3440 313 302 304 314 347 ISO 340 427.0 1 looo in 357 354 J71 352 340 140 310 351 Ml MO 344 421.3 1004 104 ♦04 400 400 MO 330 314 3M no 347 J5* Ml 417.4 I I Ml Ml 374 300 3S2 JJO 320 114 124 340 341 MS M4 414,7 [ 1902 344 340 J5J 340 301 374 173 343 3S2 371 159 340 435.4 i IMJ 347 3540 4134 3544 3554 3474 3044 3204 3414 3204 1444 3414 410.2 1004 3051 3794 4014 3744 3544 31M 3434 3314 344 Ml 345 344 431.7 1 IMS 3140 MM 3454 374 334 310 305 314 lit ISO 354 344 410.5 ; 1M4 301 407 304 401 UI4 VO IOS 330 335 340 370 140 414.4 1 1007 JM •JO 404 ♦00 Ml 314 m 317 311 314 350 JOO 431 3 IMO )R5 403 413 4JI 350 JSJ 330 JOO 201 340 340 302 439.0 I MAN 342 JOS 370 375 394 33? 331 127 331 341 340 M2 423 1 SIW 20 32 32 22 24 31 II 24 14 13 27 14 13 4 _........................................................................... 1047 III •00 412 JOS 350 317 125 m 3M 321 333 374 420.0 IMO 104 ♦04 412 100 160 340 340 125 315 340 354 340 430 0 *AN JOI 403 400 401 340 324 323 324 325 141 140 344 432.0 5 TOY 17 20 21 24 24 72 11 P 14 0 13 0 0.0 STATION 5 1TANC UM TNA MrOAOLDGICAL YEAN STARTING JANUARY nONTLNV HISTORICAL OfCORD i station 3 cnora aai Tir honiinv mjstooical nrcots I fl MX DC I CAI tu* STARTING JANUARY II4.2I.12II9.AI.77 |> 1073 3704 MIO 3030 302 344 no 324 107 314 330 333 M2 414.7 l»M 310 304 373 371 331 344 JIO J2S 313 140 143 344 419.9 1075 HO 170 Ml <00 305 3330 J044 3150 3240 3540 3990 WOO 427.3 1074 3704 3014 I7S0 3724 3330 3100 3240 JI70 34J 152 374 179 429.4 1077 M2 Ml M4 301 JS5 324 IIS no 310 342 135 351 420.0 114.21. llTM.Al.ro IT 1070 373 307 373 354 353 343 34| 3J0 351 140 170 344 430.2 1 1*40 2400 2440 2404 MO 2454 2570 2470 2220 375 2070 MJ 2554 144.0 1070 352 no Ml 300 341 134 331 317 34] 393 340 374 420.1 I 1070 2550 2420 2501 70«4 2 MO 104 M 344 400 3M 304 104 409 3 1000 352 J07 J7J 142 m 334 351 343 in 394 349 144 421.4 i 1071 2570 2440 2440 3221 2421 2940 2450 2204 2700 2J54 mi 2400 310.7 IMI 104 313 100 303 134 344 320 332 330 !24 Ml 391 424 1 1 1072 2404 247R 2440 2771 2440 2570 2011 DJI 2020 2720 2524 2030 no. 2 1007 354 341 170 374 m 341 321 324 340 155 Mf 344 424 3 1973 2541 2030 2730 1740 2490 2400 2/40 2440 231 731 230 MO 314 3 1001 300 374 400 104 170 Ml 191 m 343 352 J50 140 4M.3 10/4 2534 2440 MOO 3404 2530 1570 2434 2400 2400 1740 2044 2044 325.2 1071 25S4 2400 2504 MM 257 in 230 220 203 244 254 M4 JOO. 1 |0O4 301 MJ 304 MIO MOO 13O« nso 3M0 3404 1440 3540 n2o 423.7 lots 3700 3024 3774 MM 321 >31 J42 JIS 1400 J444 3304 152 422.1 1074 247 243 294 254 201 222 231 210 144 no 7020 2974 207.4 1004 3544 3000 MH 3030 3900 3 MO non 3110 DOO 3520 3100 3404 420.2 1077 2571 2441 2501 300 2501 7221 7510 M50 nn 2400 3941 7754 320.4 1007 3441 3024 1034 1040 MM 11H 3104 3010 3120 3400 T774 3920 423.2 10/0 2541 2421 2421 100 1171 2340 2170 2530 2701 2700 2004 7000 170.J 1040 374 307 107 305 344 321 305 301 JOS 323 133 355 015.4 1070 2541 2021 2421 300 2424 1370 M40 2470 2430 2400 2444 2444 310 0 1090 2404 2470 2411 307 7171 1471 7050 2B40 2574 24M 2494 2054 324.0 MOI J SOO 7404 2504 JO» 2404 2J5D 2140 2020 2040 7050 2071 2554 317.4 IM2 2471 2400 2400 MO 2404 1414 1404 2400 1040 1770 2001 2404 331 4 IMS 2940 2441 2411 3251 2930 JOO* 2000 223 232 241 244 290 113.0 1054 295 MO 241 274 299 m 130 234 ni 229 232 ns 200.7 1005 243 247 297 231 231 234 230 234 7004 2340 144 in 100.4 1014 240 240 247 HO 244 tn 211 no 235 240 291 ISO 300 3 MEAN MO MI M3 101 347 135 327 321 312 341 340 313 423 2 ITDV 15 14 10 M 10 24 24 M 10 10 20 24 0.4 1007 241 2T9 241 244 234 714 130 231 249 240 24J 254 JO» 5 10M 244 MO 1/1 170 240 120 MOO 34M 1100 2010 1790 7074 341.3 KAN 154 >44 >41 HO 244 191 740 712 271 240 ITO 2*0 310.0 VH 0 «4 >J 41 11 14 M T9 17 if 41 34 10 3** Mliraa. iin-w« it —— QI "ita. 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MOe IM M* 270 244 241 740 M4 7*4 Ml 149.9 1*94 202 111 107 301 311 255 21? 23* 244 Ml 294 2*5 325 2 1*92 310 12* 117 110 JOI 301 245 Hi NT 273 MJ 194 134.0 1917 IM 12 J 313 301 2»3 n» m 254 24? 24* 2?0 211 no 4 1993 JO* 134 MO M2 MJ 171 140 240 271 2*4 301 114 144.3 imo 2M 304 XI 114 JOI 141 242 244 255 24? 2?» 7X1 334.1 IM* 114 BO 344 352 299 270 214 141 249 Ml >05 302 341.4 IMS 114 334 130 117 211 142 254 75? 245 291 30? 101 393.9 REAN 275 113 XI JO* 2X 1*1 243 149 254 249 274 214 331.1 IM* 321 52? 324 323 124 14*4 25M 29* Hl »l 291 299 354.4 IM? 304 324 320 310 291 255 259 242 273 27* 291 2*0 349.2 S1DV 22 20 20 11 20 20 10 J 22 5 12 22 7.7 IM9 313 312 125 349 2*1 240 244 147 240 270 >>♦ 302 143.4 nt An 112 324 in 329 299 247 15? 240 244 292 290 I** 351.4 STATION | J ft Ft Ml II* kiOAOLOGlCM TtM ITAtTING IMUNT noTLWr MISTMICAL NLC0A9 STOW 21 It 11 21 14 17 14 It 19 17 14 20 9.2 (14,21.1X15.AJ .29.1? 1MI 112* 171 3130 1*** 2970 170 250 244 245 212 292 2*0 349.9 1*92 2*0 201 2*9 293 2*4 297 229 2790 2934 2**l 2444 >024 147.1 1*01 nit 3171 1150 2940 2974 310 124 323 120 312 314 3024 119.0 IM* ill 142 JH JO* 270 222 240 274 ?to 104 2U 241 351.2 I in non 17 ANGLO GUHN RAC T«* MfMtXCCICAL VfM GTMTING 1AMJAA* <14.21.IXtS.Al .*9.11 NORfLWY MllTONlCAL OLCO9Q 1*9! 319 124 112 209 29* 229 Ml 244 111 2*7 241 247 15! 5 1*94 121 114 304 Ml 2*1 27? 270 273 279 291 242 244 109.9 IMF III 125 315 M>* 295 179 294 Ml 2*5 2*7 244 319 100.4 1*90 31* 329 J30 120 295 230 249 240 274 K3 107 321 340.1 1472 3210 3141 3451 1499 123 295 292 204 2*5 311 111 Ml 375.2 1*73 331 M4 372 Ml KN 302 245 217 2*1 101 144 3149 174.9 1*74 3130 J*04 3500 3310 1240 2940 2420 2774 293* 3009 130 H* J77.4 1975 340 339 359 344 357 111 2471 2490 243 274 292 301 171.7 1974 313 324 12B no 2*4 275 255 251 173 2*7 IN 274 349.7 RLM 111 12? 319 2** 207 MJ 279 279 291 249 244 102 155.9 1977 291 324 130 142 301 277 241 241 2?9 N* 294 307 354 5 1*70 3250 3404 343 1*9 341 322 2470 2414 2799 2970 J 051 JO** 374 1 srpv K 12 » s 4 0 10 11 II 5 10 ? 9.3 1*7* 105 M9 339 1*9 299 243 274 274 294 JOO 124 M2 345.2 1*90 329 339 144 J24 290 MJ 257 249 279 310 30? lit 345.1 STATION 14 H1IM HA! Il* hvnological VfA» ITMIIIMC januaov IH.2t.IXt9.Al .*9.II RQNUrtY MlSTOftlCM OtCOOO 1MI 329 11* JM 140 JOI 279 13* 149 279 JOI JO* 114 344 4 1M1 324 133 193 115 11? 277 240 234 279 194 109 111 344.9 INI 320 127 391 342 314 JO* 2M0 2704 2219 1204 1274 no 375.2 1*9* 319 343 354 141 312 249 241 24? 271 314 >13 in 371.1 1972 Mil 2174 lilt 2794 245 244 24? ISO 210 242 2700 272 120.0 1*95 29M 111 144 340 J07 JO* 244 14? 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TIM ST MT] MG J AMU*9Y HOW1LMY MTS1OBtC«M_ NIC MO <l4,2l.t2<lS.A'.*O.l) 1075 IM 1BI 100 1010 1571 j wo 3020 2M0 3104 3271 3501 1500 414.0 1074 J TOO IBM 1000 3040 3471 1241 3030 >011 3120 3200 3401 M30 415,5 1577 MIO J770 IMO 3070 3520 sue 20M 3001 2100 1201 3520 3501 413 4 I5>« MOO 1750 1004 M44 244 117 202 104 111 114 344 353 400.4 iw* 357 1/2 Ml 170 240 314 300 305 320 335 340 350 411.2 IMO 274 Mt MO M4 150 310 30/ 3000 3100 1310 3510 Mil 417.0 <14,21.12(15,A*,*9.II IMO 2474 2Mt 2901 20M 257 227 219 210 n* 243 243 239 101 2 1001 244 277 2M 200 250 232 210 lit 224 244 240 242 340 1 MOI 241 IK 203 270 210 272 211 114 214 235 144 741 MOO 1903 270 300 302 794 1520 2201 224 221 7W III 200 244 107.2 1904 249 292 103 JOO 252 224 21S W7 220 254 252 244 300 9 I9»S 779 201 IX 205 141 225 100 114 724 102 1474 159 207.4 IMI 204 121 MO M2 344 317 200 204 200 140 347 101 100 0 1904 WM mo IMO 2150 2510 2240 2100 2190 2200 24M 2420 MOR Ml 20 1002 MO Ml 170 212 350 320 ZOO 202 312 323 340 150 410.3 1007 24M 2090 2X0 MM 2SM mo 2150 2190 2720 2300 2470 2440 102.00 1H1 ISO 274 JOI 3H MO 315 3100 200 Ml 315 no Mo 014.5 MOO 2490 JB54 2020 2011 2570 2240 JIM 2100 7290 2100 2471 2410 302 10 I9M MSB 3714 MIO 3000 1530 WOO 3200 WOO 1110 Mil 3531 3421 417.7 IMS SOO MJ 122 MI 322 320 301 207 210 127 355 310 414.1 nt m< 24B MT 200 207 252 220 IM 219 210 241 247 244 302.7 I9X 354 Ml MO M4 111 121 312 314 213 111 341 354 410 4 190/ SOO 140 M7 >•« 154 »2 101 MM 317 145 >550 3410 421.3 STW II 12 22 10 1 1 10 2 17 10 20 11 7.7 IMI MOO SIM MM 1X0 1510 1750 2000 2000 3100 32M 3520 1010 413.40 MAN MO 170 M< »S SSI 323 302 300 210 J ZB 351 Ml 414.2 STfr/ 17 IS 10 10 24 0 10 20 10 20 3 10 0.1 STATION 34 win* NA1 THF HUNTLMV HISTORICAL •5C0R0 KTDAOLXICAL TEAR ST Ml INC J AN UM T <14.27.12(15.Al ,00,12 19K 3231 1271 >291 1190 3244 2171 250 255 272 Ml 314 320 341.3 1901 W4 WO 1171 no 304 20*1 257 1/5 740 799 109 11 i 140.5 1902 3251 30* W5 320 314 200 290 250 ZOO MSI 312 315 100.9 Itos 3271 3T7 no ni 312 207 2470 254 171 2M 290 310 341.4 1004 122 IM not 347 110 271 240 273 250 M4 no 1311 147.4 1050 20 M 2040 3051 loot 251 243 221 223 n> 241 144 274 115.0 1005 344 317 147 122 W5 294 7K 270 ZM 304 304 m 374 I 1040 1034 2»o 2M 104 241 241 221 21$ no Z4| 240 240 114 4 IM4 324 313 310 124 150 JOS IX 271 70S 299 312 nt 174.1 1041 Mil 204 204 301 205 244 111 111 n< 274 215 >00 >00.7 1007 310 149 TO9 120 310 MT IM Ml 299 305 111 in 144 4 1042 241 204 202 145 210 214 220 217 254 240 147 111.0 1041 274 200 101 7004 755 244 131 217 244 ni 251 145 114.0 1*44 204 204 110 2014 7711 2441 7314 2410 mi 2504 loot 7734 WO 1 1X5 2/41 2071 102 204 200 245 230 M4 no 234 257 170 324.0 1044 204 204 104 304 247 251 244 245 25* 2M 2521 1730 325 0 104/ 1740 MO JOO 101 275 240 22? in 240 242 211 271 120.0 1040 200 202 wo 100 171 244 2204 247 >51 290 241 770 321.7 1040 ?rs 204 204 300 240 252 235 no 244 244 142 171 310.2 1070 174 202 2070 204 no 212 204 2400 14SI 2521 2430 2/10 300.4 1071 2010 ztx 1041 3011 2470 2471 2370 7410 2431 2521 2551 1710 WO 0 1072 2701 2011 1004 2041 275 252 142 241 2441 250 205 274 122.0 10/2 2041 3054 WO 301 242 2M 234 no 243 254 754 200 W4.7 19BR 32M SIM wot IMO 3100 2770 2550 2710 2/M 10/1 3114 3100 144. M nevi ws W4 MO no ns MO 249 290 170 aoo 309 114 MS 1 5T0V 24 72 14 11 it 21 14 20 11 IS 9 21 0 2 STATION 42 IQMGA NAI TH* MTOOOLOGICALMAR t MO TING MNUAOY nOOTLNT wisiorical AtCORD <14,21. mis.Ai.ro II IMS mt 2040 2020 MIB 201 174 157 244 207 207 303 29J 340 0 1954 >09 WO 314 317 ns 240 117 255 74] 101 in 110 351 5 >074 201 30T 202 201 250 z«0 224 224 2M 754 140 275 115.7 1951 297 117 SIS 295 Ml 270 250 204 245 307 >09 291 140.9 1075 I/O 275 112 JOI 170 740 111 235 >40 244 750 2710 114.5 10/4 ZX 303 M4 2021 740 2450 ant 252 244 242 245 240 310.7 >077 7740 2010 Wit WM 275 752 242 24| 1430 250 245 270 321.1 im 111 122 ns 291 an 244 240 251 too M2 lit 311 MO. 7 1957 310 320 207 310 104 Ml 172 240 M7 Jit 117 WO 143 4 1954 SIS 315 no 111 ni 190 24? 240 205 304 no W9 347.3 1010 7000 1070 mi 2470 ITS 152 241 141 2440 250 141 274 321 4 1939 311 314 110 111 »• 204 1>4 141 240 201 1020 201 350 4 ton 2444 mi 1004 MM 171 152 241 241 mt 250 245 274 120.4 >000 SIM MM Slot Mie 775 252 247 141 2450 rto MS 7M 120.4 1001 1040 7*44 MM 1044 70S 252 143 >41 2144 iso 245 1?4 120.7 IMI 1IM no* 3100 1HI IM 151 241 741 1490 no 745 in 177.1 l*oi 1044 1199 1>4« i nili IM 151 147 141 7>|4 n» <43 in 11/4 1940 209 294 190 294 3M 2*4 147 M 259 M2 IM M7 111 9 19*1 Ml <94 294 204 102 207 243 11? 2944 2M0 245 271 329.1 19* J IN 110 190 »9 101 274 not 247 152 300 120 2X4 340 4 1941 14<J lie 119 109 Ml IM 242 152 299 M/ 29T IM JM • 1944 W1 WO <M MO 174 M4 no m 194 >49 JU 1/1 124.1 1004 MM M40 Mtt 1140 175 rt> 74| 141 1440 109 144 1/4 no. 7 1944 IM lit M9 1*1 M4 740 ni >41 197 JflB IM Ml 319 t IMO IM Ml 3114 Ml 745 144 114 >'o >44 IM 1401 HOO 111 4 1944 199 an no BIT MR <M no 111 W9 in m J*l no 4 in* mt nit mu in 144 117 244 144 IM W9 141 1M.0 IH7 Mi 191 7*1 n» nr <<l roa m 111 <19 ni no tn J 1944 in m 7*4 nt iHl an ill IN <*• 141 rat <«« <aa a !••• 141 144 *•> <•4 an ata aaa an ata «4a rai raa a 141 • »» M4 VM *44 Ml *9» nt *aa m ran aat an ait in aaa r»m an nt w tn» *a aa nn an a lit a nvna • T«V ROA *•« ■at • n • •• im 0• • • m« »W «aa •• «• •*r*frt—r twit »w ^raraajx-«| «fr> ■ «rro»nx-« rr** «f4- araaraMC /*WMr / N*. 7r.isris,At.r*. Ji* A ? i»h r»#r J74 J#4 JM 244 Ml n< 137 JIB M> no J»4 J V/4 JJ* iff m 2*1 22* n 1 IM it* 741 24* 2*4 / r»/F 221 2»J 39a JtF JT7 ITS 116 221 it/ 2*1 Jit IB/B JU 1*B 714 J7F4 2Jt 22# rit 111 ill 141 15/ Wv I it/» 399 2*4 tri 7*1 2*5 121 221 141 IM Ml l>4 IM I 1 w 297 lit iff in JJ4 214 in W m 214 rn J** J«IL 291 in -’■5 JM 111 Jia Hi >J< 114 111 in 2*1 1*6 J m IM IM 2*4 243 135 m 11/ JU ft* TIT »> LUI 3t>2 111 nt 111 Jfl >41 233 JM 111 214 Hl 114 1*14 2671 ZIN IMI >411 It » 2211 lilt nn »n MM niB k MS left WD »1 in J»D in 111 119 nt ISO m rti IfW in Ill 2*t 221 441 >14 m Ml. 14« 111 ]♦< 3CT-7 1VB. 1 102* mi ■ 111.4 111.2 Ut.o ITO, I Ufl.n in./ in i 121.1 1Ml in JJfi tn Mi Ml >TQ >14 >21 >4D 14| in nt Ul.c IMI JK m f»> ll 17 Zill net ft Ilf kill. ID 141 JBI4 im.i HC4H J*t /♦* ttl 1/2 2S2 nt 219 tJT 240 TS6 1*4 MJ nt. f 3.1 W ■ I trails *7 IMMUHU IM It* n 14 14 21 It 14 it IB f.6 11 HtalLrfi itli’aHEM. HTBBC4.OCI c«l KM IT MT IK |4*umt in.n mu Al .66. II nW l»L ft# >T1 >14 144 >4M mi fl* iff Mil 24*1 111 164 1 INI 344 tbv 7/4. in 111 lit n« Jilt IIM 14M Jill mi Mt. I 1 IH1 24* 2*1 Ztl 14* TSH ni Ml Jf7 m >n 11* 14* l*i,4 ■ IMI IM Hl M> PI in m ill III TH nn 1)41 ilta ion. 4 l*»l 2*1 2B4 trt Wl M* nt Jia JJ* Iff HO H* las iDl.i X1U1 1TB 2M >« m m 14B 111 fM J*1 1*1 111 M4 111.6 bHM in m 2M IB* 1FB 741 il* nt Ht IM >41 >44 lit. 4 | |Mf in IM >•• 1*1 rn 111. 14] HI HI H* 111 in ut r klU 213 wi« IM JU) >4/ Mt JIB 7IC7 ?JT 134 14B H4B Ml V *C*- i»» Ml J>Bi n* 744 344 JH 71* 11* 744 M« 344 11 n • 110V 11 fl 14 14. i* !•* !■ II It II 11 1* 41 s UNP.WT 6*5-96 10:45ft Pftflft 6 of 6 _ _____Iwater resources ANNEX IA CLIMATOLOGY s™honK ,A’* m0nthly observed and infilled wind speed by I,number of monthly observed wind data per year OB SERVED STATION bedel GAMBE ANGER ASSOS DEMB I NEJO CONGO HOHA TOT Valid N le LLA A RO year 1376 1977 Valid Valid Valid Valid Valid Valid Valid Valid NNNNNNNN 9 12 1978 12 ' 979 1980 1981 1982 1983 ■984 12 12 12 12 12 12 12 12 12 12 12 5 9 5 12 52 8 12 12 12 12 12 1985 9 1986 2 1987 12 1988 12 1989 12 1990 1991 1992 1993 1994 1995 11 11 12 9 12 4 12 12 12 9 12 10 12 11 12 12 12 12 fl 12 12 12 11 1 11 1 9 12 1 11 12 1 12 12 1 12 11 6 12 4 TOT 38 104 55 llfl 33 118 165 6B .— 9 12 12 36 44 48 41 38 31 52 42 67 71 67 12 22 24 25 24 22 699NUMBER OF MONTHLY INFILLED WIND DATA Dm * PER year INFILLED — STATION tot Valia N BEDEL LE GAMBE LLA ANGER ASSOS A DEMB I NEJO DONGO RO Valid N Valid N Valid N Valid N Valid N Valid N Valid N hoha~ Valid N Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 TOT 3 4 10 3 7 3 7 10 10 16 17 7 12 1 1 4 11 11 11 11 11 6 86 3 X 8 1 3 14 2 12 1 8 27 3 1 4 3 4 7 10 29 8 18 5 1 5 24 14 12 11 12 14 | 177NUMBER OF MONTHLY OBSERVED AND INFILLED WIND DATA WIND TOT STATION Valid N bedel LE GAMBE ANGER ASSOS LLA A DEMB I NEJO LONGO RO HOHA Valid N Valid N _______ Valid N Valid N Valid N Valid N Valid N Vai id N Year L976 1977 1978 1979 i960 1981 1982 1983 1984 L995 1936 1987 1938 1989 i 19 9 D 1991 1992 1993 1994 1995 TOT 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 48 120 72 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 204 12 12 12 36 12 12 12 12 12 12 12 12 12 12 12 132 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 192 72 12 12 12 36 48 49 48 49 50 60 60 72 72 72 36 36 36 36 36 36 876YEARLY WIND SPEED (m/s) WIND STA1''ION BEDEL LE GAMBE LLA ANGER ASSOS A DEMB I NEJO DONGO RO hoha Mean Mean Mean Mean Mean Mean Mean Mean Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 TOT .37 .35 .39 .48 .48 .47 .52 . 56 . 58 2.02 5.55 5.68 5.57 4.73 4.22 4.25 .79 1.03 . 94 .23 . 75 . 62 5.00 4.18 5.42 5.31 4.97 4.97 6.03 4.11 4.93 4.15 3.06 3.18 4.24 3.69 3.61 3.64 3.44 2.85 4.22 . 94 1.16 1.18 1.09 . 78 .38 . 76 . 80 . 70 . 51 .67 . 80 . 78 .45 .38 . 64 • • .93 1.07 1.02 1.00 .91 .77 1.03 . 89 . 88 . 82 . 81 . 69 . 60 .60 .59 . 68 . 83 1.62 1.46 1.52 1.34 1.39 1.23 1.42JPA5- 77 5 H & H 6 * JO wz-wW1ND.DAT 3-7-97 12:50d Paa^ 2 of ? 19 1993-94 56 M 59 M 45 M 27 1993-94 42 M 26 M 25 . 32 M 26 M 21 H 25 M 26 M 54 N 8. 10 . 10 . 437 0 10 . 10 . 10 . 10 . 9. 8. 5. 30 1993-94 2. 2. 7. 94 0 7. 6. 8. 7. 5. 5. 5. 5. 6. 5. 6. 72 0 19 1994-95 36 M 50 H 40 M 36 8 26 H 36 . 32 M 26 M 23 N 24 M 30 M 54 H 413 0 27 1994-95 3. 6. 7. 8. 4. 2. 3. 2. 4. 7. 5. 3. 54 0 30 1994-95 4. 5. 5. 7. 7. 9M 6. 5. 6. 5. 6. 6. 71 0 19 1995-96 24 . 23 . 26 . 23 . 20 . 20 . 31 H 28 M 26 M 27 M 34 M 60 M 342 0 27 1995-96 2. 2. 5. 4. 5. 6. 3. 5. 4. 3. 3. 4. 46 0 30 1995-96 5. 5. 5. 6. 6M 7M 8M 8H 8M 8M 78 8K 81 0 The monthly data it in 1/10 m/s • The last column is the sum of the monthly data in m/s.W ATER resources annex ia climatology APPENDIX 1A-7: MONTHLY OBSERVED AND INFILLED RELATIVE humidity BY STATION TAMS-ULG Baro-Akobo hue^raied Development Muter Plin IA-Appendix 7NUMBER OF MONTHLY OBSERVED HUMIDITY DATA DURing STATION GAMBEL LA Valid N 2 11 5 11 12 12 11 12 3 79 GORE Valid N 7 12 12 12 12 12 12 12 12 10 4 11 12 12 10 3 12 11 11 12 12 12 12 12 11 12 12 12 11 12 12 12 12 12 377 ANGER Valid N N ASSOSA NEJO DONGOR O Valid N Valid N Valid N Year 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 TOT 10 3 12 12 12 12 6 11 12 90 8 8 8 6 9 6 12 12 12 12 12 12 12 12 12 12 11 12 12 12 12 5 12 12 5 12 270 12 12 12 12 12 12 12 11 2 97 8 12 12 12 12 12 12 80 7 12 12 12 12 12 12 20 20 18 10 20 18 24 22 15 24 23 23 24 24 24 26 34 20 45 51 60 59 72 63 47 59 47 14 993 ...................number- of monthly infilled humidity data during a year INFILLED TOT STATION Valid N GAMBEL LA GORE ANGER ASSOSA NEJO DONGOR O Valid N Valid N valid N valid N Valid N Valid N Year 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1959 1969 1970 1971 1972 1973 1974 1975 1976 197 7 1978 1979 1980 1981 1982 1983 1984 1995 1986 TOT 5 5 2 8 1 2 9 1 1 4 4 4 6 3 6 10 1 7 1 1 9 12 12 12 12 77 1 1 1 2 9 12 43 6 1 12 30 7 7 12 12 66 4 1 10 11 4 4 4 6 14 4 6 2 9 1 1 10 2 8 3 9 13 9 25 13 25 58 231 of otwwd Milled fleiaffwe HM/tflty Dar« flurlnj j XwNUMBER of MONTHLY OBSERVED & INFILLED HUMIDITY DATA DURing HUM STATION TOT Valid ' N gambel LA GORE anger AS SOSA NEJO DONGOR O Valid N Valid N Valid N Valid N Valid N Valid N Year 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 TOT 12 12 12 12 12 12 12 12 12 12 12 12 12 156 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 420 12 12 12 12 12 12 12 12 12 12 120 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 336 12 12 12 12 12 12 12 12 12 108 12 12 12 12 12 12 12 84 12 12 12 12 12 12 12 24 24 1 24 24 24 24 24 24 24 24 24 24 24 24 24 36 36 36 48 60 60 72 72 72 72 72 72 72 1224 Number of Observed end Infilled Monthly Relative Humidity Data During a Yearyearly RELATIVE HUMIDITY ( 1 ) HUM — STATION GAMBE LLA GORE ANGER AS SOS A NEJO DONGO RO Mean Mean Mean Mean Mean Mean Year 1952 1953 1954 1955 1956 1957 195B 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1970 1979 1980 1981 1982 1983 1984 1985 1986 • - ■ 68.33 70.83 72.50 68.33 71.67 73.33 67.50 68.33 69.17 * 4 ♦ 70.00 66.67 64.17 44,17 47.50 59.17 72.50 69.17 68.33 73.33 69.17 64.17 65.00 67.50 64.17 65.00 61.67 55.00 65.83 62.50 60.00 64.17 60.00 59.17 63 .33 63.33 63.33 63.33 64.17 61.67 57.50 61.67 59.17 58.33 61.67 ■ 62.52 70.83 86.67 83.33 91.67 99.17 100.0 91.67 95.00 89.17 • 89.72 62.50 60.83 55.83 60.83 56.67 83.33 94.17 80.83 55.83 79.17 76.67 60.00 61.67 59.17 61.67 79.17 88.33 75.00 62.50 60.83 74.17 79.17 70.83 50.83 68.75 72.50 68.33 65.00 67.50 69.17 72.50 66.67 74.17 67.50 69.26 74.17 73.33 75.00 77.50 70.83 78.33 81.67 75.83I > OS^^>OSONNN<OulMn'OMlALn'Ox»’fiOiP'OtA<OlP>J>0'C>?-0'O^^Nin^'0>OinO<OvAlAS«OCCN<<olo^<r0j <<(j . I '5 I -> ........................................ X «X -X • • • -X............................................................................... .... ...................... .... ...................................1............................. ... ' so <c m m co ® ajco co r. o 00 co co K 00 co >o <x> o co o k- o «o n. co o r>- o go hw co co b» «o m k 00 k «3 ® ® o ® ® - > t r^r^LnLnr^r^N-r^co'OhwcoN-r^r^'0'fs-b*'0'0'Ooor^or*.oN<jK-or^ocOKt^cor^f^cob»»r»b“'0'0'0®r^ o<® *......................................... r . . .x • • . ... .......................................................... .... .......................x......................................... ^^rcJo',^«:e,e • 1 * ,. •« X -X • • Q. 'O'0^minN’0'0NN'0NlAtniA'0>J^lAsr>f 4KOO^Kin^OS«NO^lASm»P'0in^'0^'0'0S'<)'<3OS XX -X • • .XX «x in'T^wmuO'fl'O'Oin'jiPiAiANiniAin'to^ >rOsooin'0>nn>j>f 4ooia-J’O'J'J'OO^r * . .1 • > ••• » ♦ • * *^ . t ‘‘J & 0) x . .X . . .XX X* iP'i^^n'O'0'0'0^'0'Jin'0Ki>nA'4N>tnin'0'fiOin^KinjioiA>nno>t>#sr'0>/'4LPS'0^'0K1'c-7i),/' ....................... ‘ ^4^'* ,i * c « I -> I I u <0 o > c o <c V) * . , x » • »X • • • . . . . «X • ’ * * * ^.4^** i*i 'MnON oo O o»-r 4 1114*4411 OOO'OOO'O'OOI Ji Ji: tr r-w-w-•-•-w- k < tr ti: S: S ’’ T“ <- T—•- r-»-T—»- O^O*O»OO»0kQkQ>QKQkQ,Q>0k0k^(y,QkQ,O OO'(r»^J^^r* ^ “*in X.i AWATER RESOURCES ANNEX 1A CLIMATOLOGY APPENDIX 1A-8: MONTHLY OBSERVED AND INFILLED SUNSHINE BY STATION TAMS-ULG Baro-Akobo Integrated Development Mister Plan 1A - Appendix 8I INUMBER of monthly observed sunshine during a year OBSERVED STATION GAMES GORE ANGER AS SOS NEJO DONGO HOHA TOT Valid N LLA A RO Valid Valid Valid Valid Valid Valid Valid NNNNNNN Year 1975 1976 1977 1978 1979 1980 19 Bl 1982 1983 1984 1985 1986 1987 1988 TOT 8 12 4 11 12 11 12 4 6 80 12 12 12 4 12 12 7 71 8 4 1 10 11 8 12 12 2 68 7 12 12 12 12 12 11 12 11 11 11 3 7 6 9 11 35 8 12 12 12 12 9 12 8 85 9 9 7 11 36 7 8 12 16 31 4a 47 52 48 62 63 60 42 2 498 123 tfwnber of Otaervrd Sinifi/nt Daf> Bur tog a rearnumber of monthly infiled sunshine during a year INFILLED TOT 1 ‘ STATION Valid N 'gambe LLA GORE anger ASSOS NEJO A DONGO RO HOHA Valid N Valid N Valid N Valid N Valid N Valid N Valid N Year 1975 i 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 TOT 12 4 8 1 1 8 12 6 12 12 76 12 12 12 12 12 8 5 12 85 5 12 12 12 12 12 12 12 44 1 1 1 1 33 3 4 71 41 40 36 32 25 4A 1 17] 12 1 10 18 29 265 Number of Infilled Sunshine Data During a YearjlOMBER OF MONTHLY OBSERVED fit I NF I LED SUNSHINE DURING A YEAR SUN STATION GAMBE GORE ANGER ASSOS NEJO DONGO HOHA TOT Valid N LLA A RO Valid Valid Valid Valid Valid Valid Valid NNNNNNN Year 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 TOT 12 12 12 12 12 12 12 12 12 12 12 12 12 156 12 12 12 12 12 12 12 12 12 12 12 12 12 156 8 4 1 10 11 8 12 12 2 68 12 12 12 12 12 12 12 12 12 12 12 12 12 156 3 7 6 8 11 35 12 12 12 12 12 12 12 12 12 12 12 12 12 156 9 9 7 11 36 48 48 48 48 56 52 48 52 65 74 73 78 71 2 763 of Observed and Infilled Monthly Sunshine Data During a rearTAMS-ULG SUN STATION GAMBE LLA GORE ANGER ASSOS A NEJO DONGO RO HOHA Mean Mean Mean Mean Mean Mean Mean Year 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 TOT 6.00 6.42 6.00 6.00 6.83 6.00 6.25 5.67 6.08 5.42 6.50 6.42 6.17 • 6.13 5.92 6.00 5.92 5.67 5.92 5.92 6.00 5.67 5.75 6.08 5.92 6.08 5.67 • 5.88 6.75 7.75 7.00 6.90 7.09 6.88 7.00 6.58 7.00 6.93 6.25 6.50 6.50 6.67 6.25 6.33 6.75 6.83 6.75 6.58 6.42 6.75 6.33 - 6.53 5.00 5.14 8.00 5.00 6.55 • • 6.03 6.67 6.75 6.50 6.75 6.83 6.25 6.67 6.83 6.83 6.83 6.58 6.75 6.67 • 6.69 7.56 6.78 7.57 5.73 • 6.81 A verape Monthly Sunshine Per Station iSUN STATION GAMBE GORE ANGER ASSOS NEJO DONGO HOHA LLA A RO Mean Mean Mean Mean Mean Mean Mean MONT B JAN FEB MAR APR MAY JOT JUL AUG SEP OCT NOV DEC TOT 7.00 7.77 6.15 6.38 5-23 4 - 92 4.31 5.15 5.77 6.62 6.92 7,39 6.13 7.62 6.92 6.31 6.77 5.54 4 . 00 3.46 3.54 4.46 7 . OB 7-00 7.92 5.8S 7 . B0 7.B3 7.00 7.33 6.50 5.83 5.50 4.67 5.40 7.17 8.33 8.50 6.93 0.31 3.69 0.15 7-77 5.46 5.15 4 . OB 3 . 92 4.38 5.46 8.31 8.69 6.53 a.s7 B.33 5.50 £.33 6.00 5.33 5.00 3.67 4.67 5.25 6.50 8.00 6.03 B .62 B.31 7.23 7.85 6.46 5.38 3-92 4.31 5.46 6.62 8.03 3,00 6.69 9.67 9-00 3.00 7.75 5.75 4.00 3.33 5 - 00 5.00 6.00 3.50 9.00 6.31 Title 3t A wig* Annual SutufMn* Per stif/onStAt 10M 4 &M1KLA NCMTLHV H£AN SUNSHINE WO*JIS MWOI.OGICM, TEAR STAOT| NG 7ANUAAY <14,21.12115,A).F*.11 1075 AM no 440 444 514 SOO 4*0 444 540 010 040 470 73.10 1474 444 ISO 440 01 SI 04 47 55 42 474 57 71 75 7 1417 50 72 44 44 17 42 40 07 SI SO 10 71 71.5 1410 02 7S 45 44 544 JOI 444 Sil 371 710 40* 720 n.o 1474 501 70 74 75 41 40 50 M so 04 74 RO to.4 1400 04 70 44 41 44 47 «4 40 54 44 57 71 72.0 1101 01 10 SI 40 S3 14 40 $3 50 75 70 ni 74.0 I4t> 42 44 44 15 54 so 42 47 42 52 <1 40 40 1 1*01 40 02 01 401 544 554 440 524 404 720 401 50 71.4 l*H 570 770 424 444 470 474 404 471 504 454 170 404 41.0 1405 044 414 471 444 12 44 37 501 514 04 44 41 70.0 1404 010 440 440 •M 020 450 454 140 540 7H •to 404 70.44 1401 *94 400 44« 7 JO 440 504 420 510 170 400 MO ?M 71 10 MAN 44 75 44 41 13 44 41 SI 10 41 07 72 71.3 vov 12 II 5 14 7 10 0 s 0 11 10 0 4 1 STATION I? ANGER CUUM HYMOIOCICAA TEAR (TMIINC J ANU MT 114.21,12(15,Al .Ft. 11 HONlLNY WAN tUNSNt< KJURS 1*70 -OOH •M*t -0**4 -MM 74 41 41 S3 54 74 *0 *2 1*00 n 25 42 7? •0*H - •MM -O*M MH -*M* •MM -woo •OMO IMI -MM -MH •MH -MM •OOM MH •MM -MH -OM* •»*M -MM •mi IM2 -OHO -HM 72 -MH •MM MM -MM -MH MM •M* •0M4 •MH IMS •OH* If 41 74 45 40 77 •MM 45 54 74 ■4 1*14 77 *2 47 71 SI 4* 44 -MM 55 04 TO 05 1*05 *0*4 -MM 71 75 57 10 30 •OMO •Ml 74 ■* 74 1004 00 00 41 4* 01 44 So ♦0 SO 74 07 04 IM7 02 70 45 TO SO 42 44 O| 50 W 74 70 10*0 71 12 •w*o -MH •OHO -MM -0*H •MM -MH •OMO -*W* -OH* STATION 10 ■5 OSA nONTLHY MAN SUNSHINE K4JB5 motxxtcAi YEM VANTING JANUARY l|4.2« .12115.Al,F* II ton 0«* 07* 024 no 52* 44 33 27 45 M 70 02 75 5 1*74 *4* ■70 010 •0* 520 44* 104 4S* 420 540 •4* 074 TO.J 1077 00* *54 02* ?M S3* SO* 424 344 40* SSI BO* 070 TO 1 1*7* 03 0* 04 70 40 50 11 40 41 44 07 07 70 4 4 TAT low MAE HONllNT «*N SUMVMlX NOUiS 1*7* 74 04 04 4* 54 4) 3* 3* 51 •0 •1 B* 75.7 rflDKXKlCAL YEM STARTING JANUARY (14. 21. I?115.Al.Ft. 11 1075 754 700 410 470 540 <m JH IM 450 070 710 740 1474 750 700 410 710 no JM IM MO 510 710 400 7M 1077 730 404 450 470 544 470 270 J70 300 740 720 7M 1070 740 >00 410 410 570 420 140 140 450 4M 700 700 1070 MO 710 400 *04 IM IM 4M 2M SIO 4S0 720 020 II Fl. 10.41 4* 10 71 M IMO e* 04 04 74 W 41 n 42 44 50 05 04 77.7 IMI ■0 *3 01 01 41 47 14 It 44 40 07 *5 00.4 IM2 0* oo 74 74 55 OO » 27 45 54 •0 44 00.0 IMS 070 01 07 03 54 54 43 40 10 42 M 00 00.5 1*04 01 »0 14 70 47 1? 40 3* 44 45 03 04 71.7 1*05 02 *0 7* 15 11 47 14 52 45 57 021 01 TO.5 IM4 •0 oo 01 04 741 10 1? 47 40 SO 01 os 00 1 1000 74 45 44 SO 10 4? 17 42 45 TO 70 01 20? 71.0 1*0? 04 7* 75 73 40 4? 40 44 54 51 TO 070 74.0 1001 72 71 51 71 44 52 20 » 13 01 TO 01 1702 44 40 40 47 SO 45 12 24 •2 57 72 H 44 0 MAN 44 *4 01 77 54 SO 40 J* 4$ 54 *3 04 7* 4 IM! 72 71 14 710 toe 450 144 lit 474 SOO 414 75 40 4 1004 75 01 17 74 44 14 42 41 40 M 45 70 73.4 SIOV 0 13 12 12 10 11 0 0 5 0 7 11 3.7 tots •* 70 44 47 40 n 24 14 44 44 47 73 *0.2 IH4 to 42 44 45 75 14 34 431 470 IM 700 72 • STATION 2? MOJO YCNTUYV A! AN SONINIMf KMS IMF 750 440 410 <M xoo 400 IM 450 500 400 410 700 40 14 MAM 75 40 42 47 51 40 34 34 45 70 70 M 70.1 MVOMSICM TEARS STARTING ...................... <14.21.12(11.0] ,F4.D 1*02 -MM -0M0 -OOH -OOH 45 52 42 MOI -OOM -OOM -4W4 -OMO itii •»H* -WOO -MH -MH 44 43 54 14 43 40 42 -OOH ST* 4 II 0 4 12 10 1 5 0 11 7 12 2 3 IM* 0* 04 40 01 70 -m* •MH •OMO •OM* ■3 -OHO -MOO STATION 32 HOMA muHMY MAN lUWSHlK KAMI tnWaKiriH YE AO STA0I1NC JANUAAY 114.II.I2<ll.01 >F* II ISOS Ft 02 44 43 •H*0 M04 •MOO 21 I* 32 -MM *0 IM4 07 TO MM 71 $2 40 St 02 47 51 44 05 STATION M MNGDNO AONTLNV MAM lUMSMlK HOURS W^OMLOSICAl tear startinc JANUARY <14.12.Hlll.A7.F0.il 1404 -4004 M 0! 02 54 •MM 0004 52 57 70 M M 1075 *40 040 730 7?0 4«0 520 TOO 410 SM 740 7M 770 00.00 1*05 *5 >1 n 02 so SO 14 40 -MM -OM* toot 07 1074 040 040 730 770 4M 410 410 450 SOO 440 020 OM 01. TO 1M4 M 01 01 M A» 37 41 •***■ -0*0* MH >•*** 0*0* 107? 050 020 ?40 770 440 34* >M «M 520 430 040 010 70 >0 IMF 07 04 01 45 12 11 11 si 45 S3 7! MO* 107* OM 040 720 ?M 4M 950 100 440 510 400 OSO 020 01.M 1070 IM OM 770 7*0 4*0 740 4M 4M 450 10* 030 77* 01 44 1*00 ISO 740 *04 724 •2 47 31 41 51 74 70 70 >5.1 IMI 01 *1 44 01 *0 40 14 40 44 *5 • 1 01 U.S IMI 01 *4 09 70 4* 54 1* 30 40 54 01 101 u.o IMI •« M 01 74 70 40 fl 37 03 94 72 *1 01 1 '• IM4 00 M n *7 00 43 4] S3 40 W 01 02 02 1 l**» 00 07 M TO 174 114 30 40 140 74 0* 71 70.1 IM4 04 01 *r *1 04 10 42 M •0 •0 • 1 02 OR 0 Oo* F4 OJ Fl 41 111 41* *• •» «4 rw OM MV SXWATER RESOURCES ANNEX 1A CLIMATOLOGY APPENDIX 1A-9: MONTHLY OBSERVED AND INFILLED EVAPORATION BY STATION TAMS'ULG Barn-Akobo Integrated Development Master Plan 1A- Appendix 9| i jL_ Potential Evapotranspirarion data L 1 —— 1 “7 St# Station Dek JAN FEB MAR APR MAY JUN JUL > 1UG SEP OCT 1 VOV DEC Annual j I J 1 (Abobo 1 39 41 51 53 47 40 36 37, 38 41 39' 38 —X I “ ■-------- J_____ ._ 2 39 43 56 52 42 37 36 38 39 42 37 39 -------------- - 455 Total 119 132 161 153, 129 114 108 114j_ 117 123 ' 3 4\ 48 54 48 40 —— —4 37 36 39 40 401 38 39’ —------------- 114j_ 116 1500 q— LK Evap 83.3 92 4 113 107 90 3 79 8' 756 79 8 81 9 86 1 79 8 81 2 ’1050 4 > Bedelle J________ __ 1— I------------------ 2005 Total 124 137 143 139 ’ r 46 49 44 47 “41 40 32[ 33 37 43 46" 45 ------- — 2 36 49 47 48l 43 38 29 32 40 44 48 46 — CZ______ 3 42 39 52 44 57 39 35 35 39 49 46 37 — -— J 41, 141 117 961 100 116 136t 140l 1530 4------- LK Evap 86.8 95 9 100 97 3 98 7 98 7 81.9 672 70 81.2* 95.2 98 1071 A Gambella ----------- . 2 44 50 57 54 42 38 34 36 39 40 40 40 ----- — 3 50 42 63 51 43 36 38 41 39 44 40 45 — J 42 48 36 56 45i 39 35 36 38 40 40 40 ---------- - i 440 Total — 2 — --------------- LK Evap 95.2 136 140 176 161 130 113j 107 113* 116| 124 120 127T 1561 98 123 113 91 79 V 74 9 79 1 81.2 86 8 84 87 5 ”1092.7 6 Pokwo 1 41 43 54 57 2 42 45 60 55 44 37 36 35 39 43 39 41 3 44 50 58 50 41 36 36 37 41 42 39 42 i—— I_____ 49 40 37 35 ”38 42 40 40 _____ ------------------- r 425 Total 127 138 172 162 134 113 109 107 118 127 ' iib 123 1548 LK Evap 88 9 96 6 120 113 93 8 79.1 76 3 74.9 82 6 88 9 82 6 86 1 10836 7'Gore 1 44 47 44 52 37 34 32 34 32 41 42 “ 4? I 1 2024 Total 2 47 43 48 44 38 33 31 30 35 40 ' 41 43 3 54 40 60 42 46 30 33 33 36 44 42 47 145 130 152 138 121 97 96 97 103 125 125 131 1460 i 4 LK. Evap 102 91 106 96.6 84 7 67 9 67.2 67 9 72 1 87 5 87.5 91.7 1022 ___________ 8 Jikawo 1 35 37 46 52 41 31 28 30 36 "35 37 32 I [ 2 36 39 48 51 |_37 29 28 31 37 r 35 34 32 3 41 33 55 49 37 28 32 36 37 38 36 35 410 Total h112 109 149 152 115 88 88 97 110 108 410 99 1637 LK Evap 78 4 76 3 104 106 80.5 61 6 61 6 67 9 77 75 6 287 69 3 11459 i ____ JO, Metu 1 37 41 49 55 46 37 32 32 32 39 37 36 — 4 ■ 1 I 2 38 44 53 55 40 33 30 33 33 42 35 37 3 41 48 54 49 37 32 31 33 36 40 36 38 1690 Total 116 133 56 159 123 102 93 98 101 121 108 111 1321 ■U - - - - - 1 1 LK Evap 81.2 93.1 39.2 111 86 1 71 4 65.1 68 6 70 7 84 7 75 6 77.7 924.7 I I ________ Bonga 1 37 38 42 43 41 37 34 33 34 36 T 39 3€ — — ------------------- L 1650 Total LK Evap 79 8 82 6 91 7 88 9 83 3 74 2 69 3 70.7 72 8 79.8 784 76.; 947.8 2 38 39 45 43 40 35 32 34 I 34 38 37 36 3 39 41 44 41 38 34 33 34 36 40 36 37 114 118 131 127 119 106 99 101 104 114 | 112 109 135* I- 1 _____ _ -—- 15 Wush 1 36 37 43 44 43 39 34 34 35 39 l| 37 36EVAP.XLS “Wusri 1 2 37 38 46 44 43 371 33 34 35 41 35 36 3 38 41 45 43 40. 35 1920 Total 111 116 134 131 126 ni: 33 35 371 39 35 36 — ------ L 100 103 107 119 107 108 1373 ■ 4 Aman i(Mtzan) 4 "■ ■ -■ aambessi — 5 Kurmuk LK Evap 77 7 81 2 938 917 88 2 77.7' 70' 72 1 74 9 83,3 74 9 75.6 "961.1 1 37 38 43 44 42 38, 34' 34~ “35“ ~38 38 36 — 2 38 39 46 44 4.21 36 33 34 35 40 36 36 ~~---- 1 3 39 41 45 42 39 35 33 35 37 40 36 37 1400 Total 114 116 134 130 123 109 100i 103 1071 118 110 109 1375 LK, Evap 79 8 826 93 8 91 86.1 76 3 70| 72 1 74 9 82 6I 771 76 3 962 5 1 41 45 54 5? 46 36 311 30 31 32 32j 38 2 42 48 50 55 40 32 30 31 31 33 33. 41 3 45 52 57 49 36 31 3O| 31 311 33 36f 42 1460 Total 128 145 169 161 122 99 91 32 93 98 1011 1211 1420 LK Evap 89 6 102 118 113 85 4 69 3 63.7 64 4 65 1 6B.6 70.7 84 7 994 1 52 57 66 70 57 45 39 39 38 41 42 48 2 54 60 70 69 49 41 37 40 38 43 42 51 3 57 64 69 60 45 39 38 39 40 j 43 46 53 6601 Total 163 181 205 LK. Evap 114 127 144 199 151 125 114 118 116 127 130 152 1781 139 106 87 5 79 8 826 81.2 889 91 106 1246 7 :3 Gimbi »=- —— - ----- ■ ■■ “- 1 38 41 48 53 46 37 32 31 32 36 38 38 2 39 43 52 53 41 33 30 32 33 38 38 38 3 41 47 52 48 37 32 31 33 35 38 38 39 ?6 Mendi !2 Dernbi Dolio 1970 Total 118 131 152 154 124 102 93 96 100 112 114 115 1411' LK Evap 826 91 7 106 108 86.8 71 4 651 672 70 78.4 79 8 80.5 987.7 1 37 41 46 49 45 37 34 31 31 35 34 34 2 38 44 49 49 42 34 33 30 31 38 32 36 3 41 46 49 46 38 33 32 31 33 36 33 37 1950 Total 116 131 144 144 125 104 99 92 95 109 99 107 1365 LK Evap 81 2 91 7 101 101 87 5 72 8 69.3 64 4 66.6 76 3 69.3 74 9 955.5 1 36 38 44 47 41 34 31 31 31 37 35 35 2| 37 39 48 46 37 32 30 32 32 40 33 I 36 1_ 3j 38 42 47 42 34 31 30 32 35 38 34 37tz 1850 Total 111 1191 139 135 112 97 91 95 98 115 102 108 I 1322 LK. Evap 77.7 83 3| 97.3 94 5 78 4 67.9 63.7 66.5 68.6 80 5 71.4 75.6 925 4 is Warna P __ V 38 39 51 51 47 41 32 31 32 37 37 36 2 38 41 57 48 45 37 29 31 33 39 37 370 3 40 46 54 46 41 34 30 33 36 38 37 37 p___________ 1550 Total 116 126 162 145 133 112 LK Evap 81 2 88 2 113 102 93.1 78 4 91 95 101 ' 114 111 11C 1416 63 7 66 5 70.7 79.8 77.7 p7 991.2 io iv -4 Dongoro 1 36 44 48 52 2l 37 46 48 51 40 33 28 27 30 32 34 34rr 37 31 27 28 31 33 34 34H -___ 1870 •--I __ Total LK Evap 3 44 38 54 48 37 29 117. 128 150 151 114 93 81.9| 89,6| 105 106 79.8 651 29 32 31 37 35 3S 84 87 92 102 103 ioe 1327 58 8 60.9 64.4 71.4 72 1 74 z 928 9 ^1EVAP XL S 106 74.2 142 99.4 122 85.4 108 75 6 33 17 Anger 34 37 35 Gutin 34 38 35 35 41 Total LK. Evap 150 109 103 103 116 72 1 72.1 81 2 32 Hoha Total LK. Evap 170 140 119 74.2 95.2 18 Arjo 2526 Total 106 114 138 131 119 100 89 94 100 112 105 105 1313 LK. Evap 74.2 79 8 96.6 91.7 83.3 70 62.3 65 8 70 784 73.5 73 5 9191 | I 111 1—r 1 1 1i __1 4 1 ---------- ----------- — 1 ___ - ---- _ — «- - ■ - ____ ________ —u — r —1 1 i---RESERVED
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