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Article

WRF Sensitivity for Seasonal Climate Simulations of Precipitation Fields on the CORDEX South America Domain

1
Institute of Atmospheric Sciences, Federal University of Alagoas, Maceio 57072-900, Brazil
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Institute of Physics, University of Sao Paulo, Sao Paulo 05508-090, Brazil
3
Department of Physics, University of Maryland Baltimore County, Batltimore, MD 21250, USA
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Institute of Astronomy, Geophysics and Atmospheric Sciences, University of Sao Paulo, Sao Paulo 05508-090, Brazil
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Institute of Earth and Marine Sciences, Gebze Technical University, Gebze/Kocaeli 41400, Turkey
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National Institute for Space Research, Cachoeira Paulista, Sao Paulo 12630-000, Brazil
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Department of Environmental Sciences, Universidade Federal de Sao Paulo, Diadema, Sao Paulo 09913-030, Brazil
*
Author to whom correspondence should be addressed.
Academic Editors: Jie He, Antonio Ricchi and Giovanni Liguori
Atmosphere 2022, 13(1), 107; https://doi.org/10.3390/atmos13010107
Received: 3 December 2021 / Revised: 27 December 2021 / Accepted: 6 January 2022 / Published: 10 January 2022
(This article belongs to the Special Issue Effects of Atmosphere and Ocean on Tropical Precipitation)
Dynamic numerical models of the atmosphere are the main tools used for weather and climate forecasting as well as climate projections. Thus, this work evaluated the systematic errors and areas with large uncertainties in precipitation over the South American continent (SAC) based on regional climate simulations with the weather research and forecasting (WRF) model. Ten simulations using different convective, radiation, and microphysical schemes, and an ensemble mean among them, were performed with a resolution of 50 km, covering the CORDEX-South America domain. First, the seasonal precipitation variability and its differences were discussed. Then, its annual cycle was investigated through nine sub-domains on the SAC (AMZN, AMZS, NEBN, NEBS, SE, SURU, CHAC, PEQU, and TOTL). The Taylor Diagrams were used to assess the sensitivity of the model to different parameterizations and its ability to reproduce the simulated precipitation patterns. The results showed that the WRF simulations were better than the ERA-interim (ERAI) reanalysis when compared to the TRMM, showing the added value of dynamic downscaling. For all sub-domains the best result was obtained with the ensemble compared to the satellite TRMM. The largest errors were observed in the SURU and CHAC regions, and with the greatest dispersion of members during the rainy season. On the other hand, the best results were found in the AMZS, NEBS, and TOTL regions. View Full-Text
Keywords: SA-CORDEX; WRF model evaluation; systematic errors; precipitation characteristics SA-CORDEX; WRF model evaluation; systematic errors; precipitation characteristics
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MDPI and ACS Style

Gomes, H.B.; Lemos da Silva, M.C.; Barbosa, H.d.M.J.; Ambrizzi, T.; Baltaci, H.; Gomes, H.B.; Silva, F.D.d.S.; Costa, R.L.; Figueroa, S.N.; Herdies, D.L.; Pauliquevis Júnior, T.M. WRF Sensitivity for Seasonal Climate Simulations of Precipitation Fields on the CORDEX South America Domain. Atmosphere 2022, 13, 107. https://doi.org/10.3390/atmos13010107

AMA Style

Gomes HB, Lemos da Silva MC, Barbosa HdMJ, Ambrizzi T, Baltaci H, Gomes HB, Silva FDdS, Costa RL, Figueroa SN, Herdies DL, Pauliquevis Júnior TM. WRF Sensitivity for Seasonal Climate Simulations of Precipitation Fields on the CORDEX South America Domain. Atmosphere. 2022; 13(1):107. https://doi.org/10.3390/atmos13010107

Chicago/Turabian Style

Gomes, Helber B., Maria C. Lemos da Silva, Henrique d.M.J. Barbosa, Tércio Ambrizzi, Hakki Baltaci, Heliofábio B. Gomes, Fabrício D.d.S. Silva, Rafaela L. Costa, Silvio N. Figueroa, Dirceu L. Herdies, and Theotonio M. Pauliquevis Júnior. 2022. "WRF Sensitivity for Seasonal Climate Simulations of Precipitation Fields on the CORDEX South America Domain" Atmosphere 13, no. 1: 107. https://doi.org/10.3390/atmos13010107

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