Spatiotemporal trends in daily observed precipitation, river discharge, maximum and minimum temperature data were investigated between 1971 and 2013 in the Komadugu-Yobe basin. Significant change points in time series are corrected using Adapted Caussinus-Mestre Algorithm for homogenizing Networks of Temperature series algorithm. Mann–Kendall test and Sen's slope are used to estimate the trend and its magnitude at dry, wet and annual season time scales, respectively. Preliminary results show an increasing trend of the observed variables. There is a latitudinal increase (decrease) in the basin temperature (precipitation) from lower to higher latitudes. The minimum temperature (0.05 °C/year) increases faster than the maximum temperature (0.03 °C/year). Overall, the percentage changes in minimum temperature range between 3 and 10% while that of maximum temperature ranges between 1 and 3%. Due to precipitation dependence on regional characteristics, the highest percentage change was recorded in precipitation with values between −5 and 97%. In all time scales, river discharge and precipitation have strong positive correlations while the correlation between river discharge and temperature is negative. It is imperative to advocate and support positive developmental practices as well as establishing necessary mitigation measures to cope with the effects of climate in the basin.

在1971年至2013年之间，对Komadugu-Yobe盆地的每日观测降水，河流流量，最高和最低温度数据的时空趋势进行了调查。使用自适应Caussinus-Mestre算法校正时间序列中的重要变化点，以使温度序列算法的网络均匀化。使用Mann–Kendall检验和Sen斜率分别估算干旱，湿润和年度季节尺度上的趋势及其幅度。初步结果表明，观察到的变量呈上升趋势。从低纬度到高纬度，盆地温度（降水）呈纬度增加（减少）。最低温度（0.05°C /年）的升高速度快于最高温度（0.03°C /年）。总体，最低温度范围在3％到10％之间，而最高温度范围在1-3％之间。由于降水对区域特征的依赖性，在降水中记录到的百分比变化最高，其值介于-5和97％之间。在所有时间尺度上，河流流量和降水量均具有很强的正相关性，而河流流量和温度之间的相关性则为负相关。必须倡导和支持积极的发展做法，并制定必要的缓解措施，以应对流域气候的影响。河流流量与降水量呈强正相关，而河流流量与温度之间呈负相关。必须倡导和支持积极的发展做法，并制定必要的缓解措施，以应对流域气候的影响。河流流量与降水量呈强正相关，而河流流量与温度之间呈负相关。必须倡导和支持积极的发展做法，并制定必要的缓解措施，以应对流域气候的影响。