@Article{GomesSBABGSCFHP:2022:WRSeSe,
               author = "Gomes, Helber Barros and Silva, Maria Cristina Lemos da and 
                         Barbosa, Henrique de Melo Jorge and Ambrizzi, T{\'e}rcio and 
                         Baltaci, Hakki and Gomes, Heliof{\'a}bio Barros and Silva, 
                         Fabr{\'{\i}}cio Daniel dos Santos and Costa, Rafaela Lisboa and 
                         Figueroa, Silvio Nilo and Herdies, Dirceu Lu{\'{\i}}s and 
                         Pauliquevis J{\'u}nior, Theotonio Mendes",
          affiliation = "{Universidade Federal de Alagoas (UFAL)} and {Universidade Federal 
                         de Alagoas (UFAL)} and {Universidade de S{\~a}o Paulo (USP)} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Gebze Technical 
                         University} and {Universidade Federal de Alagoas (UFAL)} and 
                         {Universidade Federal de Alagoas (UFAL)} and {Universidade Federal 
                         de Alagoas (UFAL)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal de S{\~a}o Paulo (UNIFESP)}",
                title = "WRF Sensitivity for Seasonal Climate Simulations of Precipitation 
                         Fields on the CORDEX South America Domain",
              journal = "Atmosphere",
                 year = "2022",
               volume = "13",
               number = "1",
                pages = "e107",
                month = "Jan.",
             keywords = "Precipitation characteristics, SA-CORDEX, Systematic errors, WRF 
                         model evaluation.",
             abstract = "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.",
                  doi = "10.3390/atmos13010107",
                  url = "http://dx.doi.org/10.3390/atmos13010107",
                 issn = "2073-4433",
             language = "en",
           targetfile = "atmosphere-13-00107-v2.pdf",
        urlaccessdate = "25 jun. 2024"
}