Uncorrected and bias corrected CMORPH satellite-based rainfall estimates were evaluated for application in the Representative Elementary Watershed (REW) modelling approach in the Kabompo Basin, a headwater catchment of the Zambezi River. Results of modelling (2008–2013) by use of raingauge rainfall served as benchmark to the simulation results. The uncorrected CMORPH rainfall show overestimation (>20%) and underestimation (<−15%) biases for the 2000–2015 period. A linear-multiplicative bias correction scheme was applied to remove the bias. When applied to the REW model, bias corrected CMORPH rainfall improved the match between observed and simulated streamflow. Improvements in streamflow simulation are reported for highest discharges and streamflow totals. Objective function values for Relative Volume Error and for Nash Sutcliffe Efficiency improved significantly by the bias correction. Errors in uncorrected CMORPH rainfall estimates cause large mismatch between simulated and observed streamflow, however mismatch reduces notably for bias corrected satellite rainfall. Optimized REW parameter values changed by > 50% when gauge-based rainfall inputs are replaced by uncorrected CMORPH estimates. However, parameter values, remained within physically acceptable ranges for bias corrected CMORPH, for intermediate flows and for the wet season. This study shows that bias correction of CMORPH rainfall in the Kabompo Basin is critical for successful application in rainfall-runoff modelling.

对未经校正和经偏倚校正的基于CMORPH卫星的降雨估算进行了评估，以用于赞比西河上游水源地卡博姆波盆地的代表性基本流域（REW）建模方法。使用雨量计降雨的模拟结果（2008-2013年）作为模拟结果的基准。未经校正的CMORPH降雨在2000-2015年期间显示出高估（> 20％）和低估（<-15％）的偏差。应用了线性乘法偏差校正方案以消除偏差。当应用于REW模型时，经偏校正的CMORPH降雨改善了观测流与模拟流之间的匹配。据报导，在流量模拟方面有所改进，可实现最高流量和总流量。相对体积误差和纳什·苏克利夫效率的目标函数值通过偏差校正得到了显着改善。未经校正的CMORPH降雨量估算中的误差会导致模拟流与观测流之间的较大失配，但是对于偏差校正后的卫星降雨，失配显着降低。当用非校正的CMORPH估计值代替基于表计的降雨输入时，优化的REW参数值更改> 50％。但是，参数值仍在偏斜校正CMORPH，中间流量和雨季的物理可接受范围内。这项研究表明，Kabompo盆地CMORPH降雨的偏差校正对于成功应用于降雨径流模拟至关重要。未经校正的CMORPH降雨量估算中的误差会导致模拟流与观测流之间的较大失配，但是对于偏差校正后的卫星降雨，失配显着降低。当用非校正的CMORPH估计值代替基于表计的降雨输入时，优化的REW参数值更改> 50％。但是，参数值仍在偏斜校正CMORPH，中间流量和雨季的物理可接受范围内。这项研究表明，Kabompo盆地CMORPH降雨的偏差校正对于成功应用于降雨径流模拟至关重要。未经校正的CMORPH降雨量估算中的误差会导致模拟流与观测流之间的较大失配，但是对于偏差校正后的卫星降雨，失配显着降低。当用非校正的CMORPH估计值代替基于表计的降雨输入时，优化的REW参数值更改> 50％。但是，参数值仍在偏斜校正CMORPH，中间流量和雨季的物理可接受范围内。这项研究表明，Kabompo盆地CMORPH降雨的偏差校正对于成功应用于降雨径流模拟至关重要。参数值，对于偏流校正CMORPH，中间流量和雨季，均保持在物理可接受的范围内。这项研究表明，Kabompo盆地CMORPH降雨的偏差校正对于成功应用于降雨径流模拟至关重要。参数值，对于偏流校正CMORPH，中间流量和雨季，均保持在物理可接受的范围内。这项研究表明，Kabompo盆地CMORPH降雨的偏差校正对于成功应用于降雨径流模拟至关重要。