Evaluation of multiple satellite precipitation products for rainfed maize production systems over Vietnam

dc.creatorGummadi, S.
dc.creatorDinku, T.
dc.creatorShirsath, P.B.
dc.creatorKadiyala, M.D.M.
dc.date2023-01-14T01:00:17Z
dc.date2023-01-14T01:00:17Z
dc.date2022
dc.date.accessioned2023-07-17T20:10:02Z
dc.date.available2023-07-17T20:10:02Z
dc.identifierhttps://hdl.handle.net/10883/22389
dc.identifier10.1038/s41598-021-04380-8
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514136
dc.descriptionHigh-resolution reliable rainfall datasets are vital for agricultural, hydrological, and weather-related applications. The accuracy of satellite estimates has a significant effect on simulation models in particular crop simulation models, which are highly sensitive to rainfall amounts, distribution, and intensity. In this study, we evaluated five widely used operational satellite rainfall estimates: CHIRP, CHIRPS, CPC, CMORPH, and GSMaP. These products are evaluated by comparing with the latest improved Vietnam-gridded rainfall data to determine their suitability for use in impact assessment models. CHIRP/S products are significantly better than CMORPH, CPC, and GsMAP with higher skill, low bias, showing a high correlation coefficient with observed data, and low mean absolute error and root mean square error. The rainfall detection ability of these products shows that CHIRP outperforms the other products with a high probability of detection (POD) scores. The performance of the different rainfall datasets in simulating maize yields across Vietnam shows that VnGP and CHIRP/S were capable of producing good estimates of average maize yields with RMSE ranging from 536 kg/ha (VnGP), 715 kg/ha (CHIRPS), 737 kg/ha (CHIRP), 759 kg/ha (GsMAP), 878 kg/ha (CMORPH) to 949 kg/ha (CPC). We illustrated that there is a potential for use of satellite rainfall estimates to overcome the issues of data scarcity in regions with sparse rain gauges.
dc.languageEnglish
dc.publisherNature Publishing Group
dc.relationftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-2.0/global_daily/
dc.relationNutrition, health & food security
dc.relationAccelerated Breeding
dc.relationGenetic Innovation
dc.relationOne CGIAR
dc.relationhttps://hdl.handle.net/10568/129172
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source12
dc.source2045-2322
dc.sourceScientific Reports
dc.source485
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectRainfall Datasets
dc.subjectSatellite Rainfall Estimates
dc.subjectRAIN
dc.subjectRAINFED FARMING
dc.subjectDATA
dc.subjectSATELLITES
dc.subjectInstitutional
dc.titleEvaluation of multiple satellite precipitation products for rainfed maize production systems over Vietnam
dc.typeArticle
dc.typePublished Version
dc.coverageViet Nam
dc.coverageLondon


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