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From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria?
Remote Sensing ( IF 5 ) Pub Date : 2020-12-03 , DOI: 10.3390/rs12233964
Pius Nnamdi Nwachukwu , Frederic Satge , Samira El Yacoubi , Sebastien Pinel , Marie-Paule Bonnet

In this study, 16 satellite-based precipitation products (SPPs) comprising satellite, gauge and reanalysis datasets were assessed on a monthly time step using precipitation data from 11 gauge stations across Nigeria within the 2000–2012 period as reference. Despite the ability of some of the SPPs to reproduce the salient north–south pattern of the annual rainfall field, the Kling–Gupta efficiency (KGE) results revealed substantial discrepancies among the SPP estimates. Generally, the SPP reliability varies spatially and temporally, with all SPPs performing better over part of central Nigeria during the dry season. When we compared the real-time and adjusted satellite-based products, the results showed that the adjusted products had a better KGE score. The assessment also showed that the reliability of integrated multi-satellite retrievals for Global Precipitation Mission (IMERG) products was consistent with that of their predecessor Tropical Rainfall Measuring Mission (TRMM) multi-satellite precipitation analysis (TMPA). Finally, the best overall scores were obtained from multi-source weighted-ensemble precipitation (MSWEP) v.2.2 and IMERG-F v.6. Both products are therefore suggested for further hydrological studies.

中文翻译:

从TRMM到GPM:整个尼日利亚的卫星降水数据的可靠性如何?

在这项研究中,以2000-2012年期间尼日利亚11个测量站的降水数据为参考,按月分步评估了16个基于卫星的降水产品(SPP),包括卫星,测量和再分析数据集。尽管某些SPP有能力再现年降水场的明显的南北格局,但Kling-Gupta效率(KGE)结果显示SPP估计值之间存在很大差异。通常,SPP的可靠性在空间和时间上会有所不同,在干旱季节,所有SPP在尼日利亚中部的表现都更好。当我们比较实时产品和调整后的卫星产品时,结果表明调整后的产品具有更好的KGE得分。评估还显示,全球降水任务(IMERG)产品的集成多卫星检索的可靠性与其先前的热带降雨测量任务(TRMM)多卫星降水分析(TMPA)的可靠性一致。最后,最佳综合评分来自多源加权集合降水(MSWEP)v.2.2和IMERG-F v.6。因此,建议将这两种产品用于进一步的水文研究。
更新日期:2020-12-03
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