Performance Evaluation and Comparison of Satellite-Derived Rainfall Datasets over the Ziway Lake Basin, Ethiopia
Consistent time series rainfall datasets are important in performing climate trend analyses and agro-hydrological modeling. However, temporally consistent ground-based and long-term observed rainfall data are usually lacking for such analyses, especially in mountainous and developing countries. In t...
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MDPI AG
2021-07-01
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author | Aster Tesfaye Hordofa Olkeba Tolessa Leta Tena Alamirew Nafyad Serre Kawo Abebe Demissie Chukalla |
author_facet | Aster Tesfaye Hordofa Olkeba Tolessa Leta Tena Alamirew Nafyad Serre Kawo Abebe Demissie Chukalla |
author_sort | Aster Tesfaye Hordofa |
collection | DOAJ |
description | Consistent time series rainfall datasets are important in performing climate trend analyses and agro-hydrological modeling. However, temporally consistent ground-based and long-term observed rainfall data are usually lacking for such analyses, especially in mountainous and developing countries. In the absence of such data, satellite-derived rainfall products, such as the Climate Hazard Infrared Precipitations with Stations (CHIRPS) and Global Precipitation Measurement Integrated Multi-SatellitE Retrieval (GPM-IMERG) can be used. However, as their performance varies from region to region, it is of interest to evaluate the accuracy of satellite-derived rainfall products at the basin scale using ground-based observations. In this study, we evaluated and demonstrated the performance of the three-run GPM-IMERG (early, late, and final) and CHIRPS rainfall datasets against the ground-based observations over the Ziway Lake Basin in Ethiopia. We performed the analysis at monthly and seasonal time scales from 2000 to 2014, using multiple statistical evaluation criteria and graphical methods. While both GPM-IMERG and CHIRPS showed good agreement with ground-observed rainfall data at monthly and seasonal time scales, the CHIRPS products slightly outperformed the GPM-IMERG products. The study thus concluded that CHIRPS or GPM-IMERG rainfall data can be used as a surrogate in the absence of ground-based observed rainfall data for monthly or seasonal agro-hydrological studies. |
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id | doaj.art-a3fd335655fc45f4b385b4e7b6b3fc5b |
institution | Directory Open Access Journal |
issn | 2225-1154 |
language | English |
last_indexed | 2024-03-10T09:42:18Z |
publishDate | 2021-07-01 |
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series | Climate |
spelling | doaj.art-a3fd335655fc45f4b385b4e7b6b3fc5b2023-11-22T03:32:18ZengMDPI AGClimate2225-11542021-07-019711310.3390/cli9070113Performance Evaluation and Comparison of Satellite-Derived Rainfall Datasets over the Ziway Lake Basin, EthiopiaAster Tesfaye Hordofa0Olkeba Tolessa Leta1Tena Alamirew2Nafyad Serre Kawo3Abebe Demissie Chukalla4Africa Centre of Excellence for Water Management, Addis Ababa University, Addis Ababa 1176, EthiopiaBureau of Watershed Management and Modeling, St. Johns River Water Management District, 4049 Reid Street, Palatka, FL 32177, USAEthiopian Institute of Water Resources, Addis Ababa University, Addis Ababa 1176, EthiopiaSchool of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE 68583, USAThe Department of Land and Water Management, IHE Delft Institute for Water Education, 2611 Delft, The NetherlandsConsistent time series rainfall datasets are important in performing climate trend analyses and agro-hydrological modeling. However, temporally consistent ground-based and long-term observed rainfall data are usually lacking for such analyses, especially in mountainous and developing countries. In the absence of such data, satellite-derived rainfall products, such as the Climate Hazard Infrared Precipitations with Stations (CHIRPS) and Global Precipitation Measurement Integrated Multi-SatellitE Retrieval (GPM-IMERG) can be used. However, as their performance varies from region to region, it is of interest to evaluate the accuracy of satellite-derived rainfall products at the basin scale using ground-based observations. In this study, we evaluated and demonstrated the performance of the three-run GPM-IMERG (early, late, and final) and CHIRPS rainfall datasets against the ground-based observations over the Ziway Lake Basin in Ethiopia. We performed the analysis at monthly and seasonal time scales from 2000 to 2014, using multiple statistical evaluation criteria and graphical methods. While both GPM-IMERG and CHIRPS showed good agreement with ground-observed rainfall data at monthly and seasonal time scales, the CHIRPS products slightly outperformed the GPM-IMERG products. The study thus concluded that CHIRPS or GPM-IMERG rainfall data can be used as a surrogate in the absence of ground-based observed rainfall data for monthly or seasonal agro-hydrological studies.https://www.mdpi.com/2225-1154/9/7/113CHIRPSGPM-IMERGrainfall data scarcityagro-hydrologyRift Valley Lake Basin |
spellingShingle | Aster Tesfaye Hordofa Olkeba Tolessa Leta Tena Alamirew Nafyad Serre Kawo Abebe Demissie Chukalla Performance Evaluation and Comparison of Satellite-Derived Rainfall Datasets over the Ziway Lake Basin, Ethiopia Climate CHIRPS GPM-IMERG rainfall data scarcity agro-hydrology Rift Valley Lake Basin |
title | Performance Evaluation and Comparison of Satellite-Derived Rainfall Datasets over the Ziway Lake Basin, Ethiopia |
title_full | Performance Evaluation and Comparison of Satellite-Derived Rainfall Datasets over the Ziway Lake Basin, Ethiopia |
title_fullStr | Performance Evaluation and Comparison of Satellite-Derived Rainfall Datasets over the Ziway Lake Basin, Ethiopia |
title_full_unstemmed | Performance Evaluation and Comparison of Satellite-Derived Rainfall Datasets over the Ziway Lake Basin, Ethiopia |
title_short | Performance Evaluation and Comparison of Satellite-Derived Rainfall Datasets over the Ziway Lake Basin, Ethiopia |
title_sort | performance evaluation and comparison of satellite derived rainfall datasets over the ziway lake basin ethiopia |
topic | CHIRPS GPM-IMERG rainfall data scarcity agro-hydrology Rift Valley Lake Basin |
url | https://www.mdpi.com/2225-1154/9/7/113 |
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