Research Article

Statistical Uncertainty in Hydrometeorological Trend Analyses

Table 1

Details of meteorological stations and rainfall series used in the case study.

S number Meteorological stationLocationData recordStatistical metrics
FAO_IDNameLong.Lat.FromToLTMCVCSKT

1KE07MBDSEmbu37.45−0.501908199410890.250.801.26
2KE07FRTHFort-Hall37.15−0.701901198511830.240.310.23
3KE09GRS1Garissa39.63−0.47193119963320.500.820.64
4KE04KSM0Kisumu34.75−0.101903199412340.190.470.67
5KE15KTL0Kitale35.001.021921199411850.170.490.27
6KE18KTGRKitui-(Agric)38.02−1.371904199010020.290.520.92
7KE20LM00Lamu40.83−2.27190619909380.380.932.24
8KE35LDWRLodwar35.623.12192019941850.611.010.78
9KE45LKTNLokitaung35.754.25193219913760.511.111.70
10KE17MCHKMachakos-Sc.37.28−1.52190119918790.300.740.29
11KE27MKNDMakindu37.83−2.28190419945940.421.020.63
12KE30MLNDMalindi40.10−3.231901199610440.270.650.82
13KE31MND1Mandera41.873.93195019942520.511.372.63
14KE16MRLLMaralal36.701.08193619886130.280.300.25
15KE27MRSBMarsabit37.902.30191819948120.350.670.85
16KE07MR00Meru37.650.081910199413330.291.213.22
17KE49MMB1Mombasa39.62−4.031901199411370.260.45−0.08
18KE39MYL0Moyale39.053.53191519947290.341.916.36
19KE16NRBKNairobi-Kab.36.73−1.251929199110160.310.52−0.26
20KE15NRK0Narok35.83−1.13191319947430.290.29−0.04
21KE15NRKMNarok-Met.35.82−1.12191319917350.290.35−0.02
22KE38V000Voi38.57−3.40190419945520.360.610.39
23KE10WJR0Wajir40.071.75191819942730.490.71−0.27

Long.: longitude [°]; Lat.: latitude [°].