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Satellite-based rainfall estimates evaluation using a parsimonious hydrological model in the complex climate and topography of the Nile River Catchments
Atmospheric Research ( IF 4.5 ) Pub Date : 2021-11-29 , DOI: 10.1016/j.atmosres.2021.105939
Tesfay G. Gebremicael 1, 2 , Matthew J. Deitch 1 , Haley N. Gancel 1 , Amanda C. Croteau 3 , Gebremedhin G. Haile 2 , Awetahegne N. Beyene 2, 4 , Love Kumar 1
Affiliation  

Satellite-based rainfall products with high spatial and temporal resolutions can provide an excellent data source for regions where rain-gauge networks are missing or unevenly and sparsely distributed. The objective of this study was to examine the suitability of six high-resolution satellite-based rainfall products, Climate Hazards Group InfraRed Precipitation with Stations Version 8 (CHIRPSv8), African Rainfall Estimation Algorithm Version 2 (RFEv2), Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis version 7 (TMPA3B42v7), Integrated Multi-SatelliteE Retrievals for Global Precipitation Measurement version 6 (IMERGv6), Multi-Source Weighted Ensemble Precipitation version 2.8 (MSWEPv2.8) and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), for the complex topography and climate of the Nile headwater catchments. The reliability of these products was assessed using rainfall estimates as an input to force a parsimonious and high-resolution hydrological model. A spatially distributed and parsimonious hydrological model was developed in Wflow-PCRaster/Python modelling framework to simulate streamflow using rain-gauge and satellite-based rainfall inputs. The model was calibrated and validated at three locations for each rainfall product and ground rainfall measurement. The accuracy of satellite-based rainfall products as input to the hydrological model for daily streamflow forecasting was dependent upon the product type. CHIRPSv8, IMERGv6 and RFEv2 demonstrated a reliable capability to simulate the streamflow at different spatial scales. In contrast, the TMPA3B42v7 and PERSIANN products failed to capture the ground streamflow measurements. All products performed inconsistently when simulating large floods and low flows. While TMPA3B42v7 and MSWEPv2.8 underestimated the streamflow with a large magnitude of variation in peak flow, the remaining products underestimated it throughout the study period. CHIRPSv8 and IMERGv6 product outperformed all other products consistently across all periods and locations followed by RFEv2. PERSIANN failed to capture the observed streamflow with lower performance indices. A better agreement of simulated streamflow with ground streamflow measurements was attained from CHIRPSv8 and IMERGv6 compared to the gauge-driven rainfall inputs. Performance of streamflow simulations improved when catchment area was increased from 481 to 46,000 km2. Overall, this study demonstrated the potential of CHIRPSv8 and IMERGv6 rainfall products as an alternate source of rainfall data for hydrological applications in the Nile basin catchments and the potential for its use in other regions which lack direct rainfall measurement capacity.



中文翻译:

在尼罗河流域复杂的气候和地形中使用简约水文模型的基于卫星的降雨估计评估

具有高时空分辨率的卫星降雨产品可以为雨量网缺失或分布不均匀和稀疏的地区提供极好的数据来源。本研究的目的是检查六种高分辨率卫星降雨产品的适用性,气候危害组红外降水与站第 8 版 (CHIRPSv8)、非洲降雨估计算法第 2 版 (RFEv2)、热带降雨测量任务多卫星降水分析第 7 版 (TMPA3B42v7)、全球降水测量集成多卫星检索第 6 版 (IMERGv6)、多源加权集合降水第 2.8 版 (MSWEPv2.8) 和使用人工神经网络的遥感信息降水估计 (PERSIANN) ), 尼罗河源头流域复杂的地形和气候。这些产品的可靠性是使用降雨量估计值作为输入来评估的,以强制建立简约和高分辨率的水文模型。在 Wflow-PCRaster/Python 建模框架中开发了一个空间分布和简约的水文模型,以使用雨量计和基于卫星的降雨输入模拟水流。对于每个降雨产品和地面降雨测量,该模型在三个位置进行了校准和验证。作为日常流量预测水文模型输入的基于卫星的降雨产品的准确性取决于产品类型。CHIRPSv8、IMERGv6 和 RFEv2 展示了在不同空间尺度上模拟水流的可靠能力。相比之下,TMPA3B42v7 和 PERSIANN 产品未能捕获地面流量测量值。在模拟大洪水和低流量时,所有产品的性能都不一致。虽然 TMPA3B42v7 和 MSWEPv2.8 低估了流量,峰值流量变化幅度很大,但其余产品在整个研究期间都低估了它。CHIRPSv8 和 IMERGv6 产品在所有时间段和地点均优于所有其他产品,其次是 RFEv2。PERSIANN 未能以较低的性能指标捕获观察到的流。与仪表驱动的降雨输入相比,从 CHIRPSv8 和 IMERGv6 获得了模拟水流与地面水流测量值的更好一致性。当集水区从 481 公里增加到 46,000 公里时,溪流模拟的性能得到改善 在模拟大洪水和低流量时,所有产品的性能都不一致。虽然 TMPA3B42v7 和 MSWEPv2.8 低估了流量,峰值流量变化幅度很大,但其余产品在整个研究期间都低估了它。CHIRPSv8 和 IMERGv6 产品在所有时间段和地点均优于所有其他产品,其次是 RFEv2。PERSIANN 未能以较低的性能指标捕获观察到的流。与仪表驱动的降雨输入相比,从 CHIRPSv8 和 IMERGv6 获得了模拟水流与地面水流测量值的更好一致性。当集水区从 481 公里增加到 46,000 公里时,溪流模拟的性能得到改善 在模拟大洪水和低流量时,所有产品的性能都不一致。虽然 TMPA3B42v7 和 MSWEPv2.8 低估了流量,峰值流量变化幅度很大,但其余产品在整个研究期间都低估了它。CHIRPSv8 和 IMERGv6 产品在所有时间段和地点均优于所有其他产品,其次是 RFEv2。PERSIANN 未能以较低的性能指标捕获观察到的流。与仪表驱动的降雨输入相比,从 CHIRPSv8 和 IMERGv6 获得了模拟水流与地面水流测量值的更好一致性。当集水区从 481 公里增加到 46,000 公里时,溪流模拟的性能得到改善 8 低估了峰值流量变化幅度较大的流量,其余产品在整个研究期间都低估了它。CHIRPSv8 和 IMERGv6 产品在所有时间段和地点均优于所有其他产品,其次是 RFEv2。PERSIANN 未能以较低的性能指标捕获观察到的流。与仪表驱动的降雨输入相比,从 CHIRPSv8 和 IMERGv6 获得了模拟水流与地面水流测量值的更好一致性。当集水区从 481 公里增加到 46,000 公里时,溪流模拟的性能得到改善 8 低估了峰值流量变化幅度较大的流量,其余产品在整个研究期间都低估了它。CHIRPSv8 和 IMERGv6 产品在所有时间段和地点均优于所有其他产品,其次是 RFEv2。PERSIANN 未能以较低的性能指标捕获观察到的流。与仪表驱动的降雨输入相比,从 CHIRPSv8 和 IMERGv6 获得了模拟水流与地面水流测量值的更好一致性。当集水区从 481 公里增加到 46,000 公里时,溪流模拟的性能得到改善 PERSIANN 未能以较低的性能指标捕获观察到的流。与仪表驱动的降雨输入相比,从 CHIRPSv8 和 IMERGv6 获得了模拟水流与地面水流测量值的更好一致性。当集水区从 481 公里增加到 46,000 公里时,溪流模拟的性能得到改善 PERSIANN 未能以较低的性能指标捕获观察到的流。与仪表驱动的降雨输入相比,从 CHIRPSv8 和 IMERGv6 获得了模拟水流与地面水流测量值的更好一致性。当集水区从 481 公里增加到 46,000 公里时,溪流模拟的性能得到改善2 . 总体而言,这项研究证明了 CHIRPSv8 和 IMERGv6 降雨产品作为尼罗河流域水文应用降雨数据替代来源的潜力,以及其在缺乏直接降雨测量能力的其他地区使用的潜力。

更新日期:2021-12-02
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