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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Main Authors: Aster Tesfaye Hordofa, Olkeba Tolessa Leta, Tena Alamirew, Nafyad Serre Kawo, Abebe Demissie Chukalla
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Climate
Subjects:
Online Access:https://www.mdpi.com/2225-1154/9/7/113
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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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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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