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Article

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

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Department of Civil and Environmental, Universidad de la Costa, Calle 58 #55-66, Barranquilla 080002, Colombia
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Department of Civil and Environmental Engineering, Instituto de Estudios Hidráulicos y Ambientales, Universidad del Norte, Km. 5 Vía Puerto Colombia, Barranquilla 081007, Colombia
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Facultad de Ingeniería Sanitaria y Ambiental, Universidad Pontificia Bolivariana, Cra. 6 #97A-99, Montería 230002, Colombia
4
Department of Water Supply and Sewerage Systems, Faculty of Environmental Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
*
Authors to whom correspondence should be addressed.
Academic Editors: Haiyun Shi, Bellie Sivakumar, Suning Liu, Xuezhi Tan and Nasser Najibi
Atmosphere 2021, 12(11), 1430; https://doi.org/10.3390/atmos12111430
Received: 17 September 2021 / Revised: 25 October 2021 / Accepted: 27 October 2021 / Published: 29 October 2021
(This article belongs to the Special Issue Extreme Hydro-Climate Events: Past, Present, and Future)
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. View Full-Text
Keywords: rainfall; reanalysis; ERA 5; MERRA 2; Thiessen polygons rainfall; reanalysis; ERA 5; MERRA 2; Thiessen polygons
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MDPI and ACS Style

Vega-Durán, J.; Escalante-Castro, B.; Canales, F.A.; Acuña, G.J.; Kaźmierczak, B. Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin. Atmosphere 2021, 12, 1430. https://doi.org/10.3390/atmos12111430

AMA Style

Vega-Durán J, Escalante-Castro B, Canales FA, Acuña GJ, Kaźmierczak B. Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin. Atmosphere. 2021; 12(11):1430. https://doi.org/10.3390/atmos12111430

Chicago/Turabian Style

Vega-Durán, Jean, Brigitte Escalante-Castro, Fausto A. Canales, Guillermo J. Acuña, and Bartosz Kaźmierczak. 2021. "Evaluation of Areal Monthly Average Precipitation Estimates from MERRA2 and ERA5 Reanalysis in a Colombian Caribbean Basin" Atmosphere 12, no. 11: 1430. https://doi.org/10.3390/atmos12111430

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