Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin

Global reanalysis dataset estimations of climate variables constitute an alternative for overcoming data scarcity associated with sparsely and unevenly distributed hydrometeorological networks often found in developing countries. However, reanalysis datasets require detailed validation to determine...

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Autores principales:	Jean Vega-Durán, Brigitte Escalante-Castro, Fausto A. Canales, Guillermo J. Acuña, Bartosz Kaźmierczak
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	rainfall reanalysis ERA 5 MERRA 2 Thiessen polygons Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/622b52298a8e4e9199dbac5f8144c2e1
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spelling	oai:doaj.org-article:622b52298a8e4e9199dbac5f8144c2e12021-11-25T16:44:39ZEvaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin10.3390/atmos121114302073-4433https://doaj.org/article/622b52298a8e4e9199dbac5f8144c2e12021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1430https://doaj.org/toc/2073-4433Global reanalysis dataset estimations of climate variables constitute an alternative for overcoming data scarcity associated with sparsely and unevenly distributed hydrometeorological networks often found in developing countries. However, reanalysis datasets require detailed validation to determine their accuracy and reliability. This paper evaluates the performance of MERRA2 and ERA5 regarding their monthly rainfall products, comparing their areal precipitation averages with estimates based on ground measurement records from 49 rain gauges managed by the Institute of Hydrology, Meteorology, and Environmental Studies (IDEAM) and the Thiessen polygons method in the Sinu River basin, Colombia. The performance metrics employed in this research are the correlation coefficient, the bias, the normalized root mean square error (NRMSE), and the Nash–Sutcliffe efficiency (NSE). The results show that ERA5 generally outperforms MERRA2 in the study area. However, both reanalyses consistently overestimate the monthly averages calculated from IDEAM records at all time and spatial scales. The negative NSE values indicate that historical monthly averages from IDEAM records are better predictors than both MERRA2 and ERA5 rainfall products.Jean Vega-DuránBrigitte Escalante-CastroFausto A. CanalesGuillermo J. AcuñaBartosz KaźmierczakMDPI AGarticlerainfallreanalysisERA 5MERRA 2Thiessen polygonsMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1430, p 1430 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	rainfall reanalysis ERA 5 MERRA 2 Thiessen polygons Meteorology. Climatology QC851-999
spellingShingle	rainfall reanalysis ERA 5 MERRA 2 Thiessen polygons Meteorology. Climatology QC851-999 Jean Vega-Durán Brigitte Escalante-Castro Fausto A. Canales Guillermo J. Acuña Bartosz Kaźmierczak Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin
description	Global reanalysis dataset estimations of climate variables constitute an alternative for overcoming data scarcity associated with sparsely and unevenly distributed hydrometeorological networks often found in developing countries. However, reanalysis datasets require detailed validation to determine their accuracy and reliability. This paper evaluates the performance of MERRA2 and ERA5 regarding their monthly rainfall products, comparing their areal precipitation averages with estimates based on ground measurement records from 49 rain gauges managed by the Institute of Hydrology, Meteorology, and Environmental Studies (IDEAM) and the Thiessen polygons method in the Sinu River basin, Colombia. The performance metrics employed in this research are the correlation coefficient, the bias, the normalized root mean square error (NRMSE), and the Nash–Sutcliffe efficiency (NSE). The results show that ERA5 generally outperforms MERRA2 in the study area. However, both reanalyses consistently overestimate the monthly averages calculated from IDEAM records at all time and spatial scales. The negative NSE values indicate that historical monthly averages from IDEAM records are better predictors than both MERRA2 and ERA5 rainfall products.
format	article
author	Jean Vega-Durán Brigitte Escalante-Castro Fausto A. Canales Guillermo J. Acuña Bartosz Kaźmierczak
author_facet	Jean Vega-Durán Brigitte Escalante-Castro Fausto A. Canales Guillermo J. Acuña Bartosz Kaźmierczak
author_sort	Jean Vega-Durán
title	Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin
title_short	Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin
title_full	Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin
title_fullStr	Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin
title_full_unstemmed	Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin
title_sort	evaluation of areal monthly average precipitation estimates from merra2 and era5 reanalysis in a colombian caribbean basin
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/622b52298a8e4e9199dbac5f8144c2e1
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_version_	1718413020978216960

Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin

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