@Article{SilvaChoSilOliSil:2023:AsTwPl,
               author = "Silva, Maria Leidinice and Cho-Luck, Luiz Eduardo Nunes and Silva, 
                         Jessica Cristina Gabriel da and Oliveira, Cristiano Prestrelo de 
                         and Silva, Claudio Moises Santos",
          affiliation = "{Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal do Rio Grande do Norte (UFRN)} and 
                         {Universidade Federal do Rio Grande do Norte (UFRN)}",
                title = "Assessing of Two Planetary Boundary Layer Schemes in RegCM4 Model 
                         Over the Tropical Region of Brazi",
              journal = "Pure and Applied Geophysics",
                 year = "2023",
               volume = "180",
                pages = "2901--2914",
             keywords = "Seasonal variability, regional climate model, Amazon basin, 
                         Northeast region of Brazil.",
             abstract = "This work presents a contribution to regional climate modeling 
                         studies with emphasis on seasonal variability of precipitation in 
                         the Amazon Basin (AMZ) and Northeast region of Brazil (NEB). In 
                         this sense, the present study aimed to analyze the sensitivity of 
                         the simulations carried out for the period 2001 to 2005 (5 years), 
                         using two different Planetary Boundary Layer parameterization 
                         schemes (Holtslag and UW-PBL) available in the regional climate 
                         model version 4 (RegCM4). As initial and large-scale boundary 
                         conditions, ERA15 reanalyses were used. Data from the Climate 
                         Prediction Center morphing technique (CMORPH) were used for the 
                         precipitation assessment. Statistical metrics were used to 
                         evaluate the simulations. The dominant feature in RegCM4 
                         simulations is a dry bias with the largest average value (similar 
                         to 6.0 mm d(-1)) in part of AMZ Basin, while the lowest mean bias 
                         precipitation (similar to 1.0 mm d(-1)), mainly located in NEB 
                         region. It was found that both experiments are able to adequately 
                         represent the pattern of annual cycle of precipitation when 
                         compared to the CMORPH. The UW-PBL scheme experiment had the best 
                         performance in the northern sector of AMZ Basin in the austral 
                         summer season, with the highest correlation value (similar to 
                         0.6). Both experiments showed persistent dry bias in the southern 
                         sector of the AMZ Basin during the austral summer season. The 
                         Holtslag scheme experiment showed greater ability to reproduce 
                         climate variability in the NEB region, especially during austral 
                         winter season, with the highest correlation value (similar to 
                         0.8). This study can help RegCM users in choosing the suitable 
                         configuration of their experiments. In general, the results show 
                         that precipitation is better simulated by the Reg_UW-PBL 
                         experiment in part of AMZ Basin, while the Reg_Holtslag experiment 
                         has better performance in representing the precipitation in the 
                         NEB region.",
                  doi = "10.1007/s00024-023-03282-2",
                  url = "http://dx.doi.org/10.1007/s00024-023-03282-2",
                 issn = "0033-4553",
             language = "en",
           targetfile = "s00024-023-03282-2.pdf",
        urlaccessdate = "02 maio 2024"
}