Evaluation of Satellite-Derived Products for the Daily Average and Extreme Rainfall in the Mearim River Drainage Basin (Maranhão, Brazil)

Satellite precipitation estimates are used as an alternative or as a supplement to the records of the in situ stations. Although some satellite precipitation products have reasonably consistent time series, they are often limited to specific geographic areas. The main objective of this study was to...

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Autores principales:	Ana Carolina Freitas Xavier, Anderson Paulo Rudke, Edivaldo Afonso de Oliveira Serrão, Paulo Miguel de Bodas Terassi, Paulo Rógenes Monteiro Pontes
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	CHIRPS MSWEP PERSIANN-CDR daily gridded meteorological variables in Brazil Science Q
Acceso en línea:	https://doaj.org/article/ec4a8877569d42fbba93e2abfc829869
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spelling	oai:doaj.org-article:ec4a8877569d42fbba93e2abfc8298692021-11-11T18:55:22ZEvaluation of Satellite-Derived Products for the Daily Average and Extreme Rainfall in the Mearim River Drainage Basin (Maranhão, Brazil)10.3390/rs132143932072-4292https://doaj.org/article/ec4a8877569d42fbba93e2abfc8298692021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4393https://doaj.org/toc/2072-4292Satellite precipitation estimates are used as an alternative or as a supplement to the records of the in situ stations. Although some satellite precipitation products have reasonably consistent time series, they are often limited to specific geographic areas. The main objective of this study was to evaluate CHIRPS version 2, MSWEP version 2, and PERSIANN-CDR, compared to gridBR, as daily mean and extreme inputs represented on a monthly scale and their respective seasonal trends of rainfall in the Mearim River Drainage Basin (MDB), Maranhão state, Brazil. Estimates of errors were calculated (relative error, pbias; root mean square error, RMSE, and Willmott concordance index, d), and the chances of precipitation were estimated by remote sensing (RES). In addition, trends in precipitation were estimated by the two-sample Mann–Kendall test. Given the overall performance, the best products for estimating monthly mean daily rainfall in the MDB are CHIRPS and PERSIANN-CDR, especially for rainy months (December to May). For daily extremes on the monthly scale, the best RES is PERSIANN-CDR. There is no general agreement between gridBR and RES methods for the trend signal, even a nonsignificant one, much less a significant one. The use of MSWEP for the MDB region is discouraged by this study because it overestimates monthly averages and extremes. Finally, studies of this kind in drainage basins are essential to improve the information generated for managing territories and developing regionalized climate and hydrological models.Ana Carolina Freitas XavierAnderson Paulo RudkeEdivaldo Afonso de Oliveira SerrãoPaulo Miguel de Bodas TerassiPaulo Rógenes Monteiro PontesMDPI AGarticleCHIRPSMSWEPPERSIANN-CDRdaily gridded meteorological variables in BrazilScienceQENRemote Sensing, Vol 13, Iss 4393, p 4393 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	CHIRPS MSWEP PERSIANN-CDR daily gridded meteorological variables in Brazil Science Q
spellingShingle	CHIRPS MSWEP PERSIANN-CDR daily gridded meteorological variables in Brazil Science Q Ana Carolina Freitas Xavier Anderson Paulo Rudke Edivaldo Afonso de Oliveira Serrão Paulo Miguel de Bodas Terassi Paulo Rógenes Monteiro Pontes Evaluation of Satellite-Derived Products for the Daily Average and Extreme Rainfall in the Mearim River Drainage Basin (Maranhão, Brazil)
description	Satellite precipitation estimates are used as an alternative or as a supplement to the records of the in situ stations. Although some satellite precipitation products have reasonably consistent time series, they are often limited to specific geographic areas. The main objective of this study was to evaluate CHIRPS version 2, MSWEP version 2, and PERSIANN-CDR, compared to gridBR, as daily mean and extreme inputs represented on a monthly scale and their respective seasonal trends of rainfall in the Mearim River Drainage Basin (MDB), Maranhão state, Brazil. Estimates of errors were calculated (relative error, pbias; root mean square error, RMSE, and Willmott concordance index, d), and the chances of precipitation were estimated by remote sensing (RES). In addition, trends in precipitation were estimated by the two-sample Mann–Kendall test. Given the overall performance, the best products for estimating monthly mean daily rainfall in the MDB are CHIRPS and PERSIANN-CDR, especially for rainy months (December to May). For daily extremes on the monthly scale, the best RES is PERSIANN-CDR. There is no general agreement between gridBR and RES methods for the trend signal, even a nonsignificant one, much less a significant one. The use of MSWEP for the MDB region is discouraged by this study because it overestimates monthly averages and extremes. Finally, studies of this kind in drainage basins are essential to improve the information generated for managing territories and developing regionalized climate and hydrological models.
format	article
author	Ana Carolina Freitas Xavier Anderson Paulo Rudke Edivaldo Afonso de Oliveira Serrão Paulo Miguel de Bodas Terassi Paulo Rógenes Monteiro Pontes
author_facet	Ana Carolina Freitas Xavier Anderson Paulo Rudke Edivaldo Afonso de Oliveira Serrão Paulo Miguel de Bodas Terassi Paulo Rógenes Monteiro Pontes
author_sort	Ana Carolina Freitas Xavier
title	Evaluation of Satellite-Derived Products for the Daily Average and Extreme Rainfall in the Mearim River Drainage Basin (Maranhão, Brazil)
title_short	Evaluation of Satellite-Derived Products for the Daily Average and Extreme Rainfall in the Mearim River Drainage Basin (Maranhão, Brazil)
title_full	Evaluation of Satellite-Derived Products for the Daily Average and Extreme Rainfall in the Mearim River Drainage Basin (Maranhão, Brazil)
title_fullStr	Evaluation of Satellite-Derived Products for the Daily Average and Extreme Rainfall in the Mearim River Drainage Basin (Maranhão, Brazil)
title_full_unstemmed	Evaluation of Satellite-Derived Products for the Daily Average and Extreme Rainfall in the Mearim River Drainage Basin (Maranhão, Brazil)
title_sort	evaluation of satellite-derived products for the daily average and extreme rainfall in the mearim river drainage basin (maranhão, brazil)
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ec4a8877569d42fbba93e2abfc829869
work_keys_str_mv	AT anacarolinafreitasxavier evaluationofsatellitederivedproductsforthedailyaverageandextremerainfallinthemearimriverdrainagebasinmaranhaobrazil AT andersonpaulorudke evaluationofsatellitederivedproductsforthedailyaverageandextremerainfallinthemearimriverdrainagebasinmaranhaobrazil AT edivaldoafonsodeoliveiraserrao evaluationofsatellitederivedproductsforthedailyaverageandextremerainfallinthemearimriverdrainagebasinmaranhaobrazil AT paulomigueldebodasterassi evaluationofsatellitederivedproductsforthedailyaverageandextremerainfallinthemearimriverdrainagebasinmaranhaobrazil AT paulorogenesmonteiropontes evaluationofsatellitederivedproductsforthedailyaverageandextremerainfallinthemearimriverdrainagebasinmaranhaobrazil
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Evaluation of Satellite-Derived Products for the Daily Average and Extreme Rainfall in the Mearim River Drainage Basin (Maranhão, Brazil)

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