@InProceedings{LimaCaKuSoBaVi:2020:InSoAm,
               author = "Lima, Isabella Talamoni and Cavalcanti, Iracema Fonseca de 
                         Albuquerque and Kubota, Paulo Yoshio and Souza, Dayana Castilho de 
                         and Baker, Jessica and Vieira, Rita M{\'a}rcia da Silva Pinto",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {University of Leeds} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Influence of the South America rainy season onset on surface 
                         processes in IBIS-offline simulations",
            booktitle = "Resumos.../P{\^o}steres",
                 year = "2020",
               editor = "Galetti, Giovana Deponte and Sena, Caio {\'A}tila Pereira and 
                         Mand{\'u}, Tiago Bentes and Jacondino, William Duarte and Alves, 
                         Laurizio Emanuel Ribeiro and Afonso, Eliseu Oliveira Afonso",
         organization = "Encontro dos Alunos de P{\'o}s-Gradua{\c{c}}{\~a}o em 
                         Meteorologia do CPTEC/INPE, 19. (EPGMET)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "IBIS-OFFLINE, Surface Processes, South American Monsoon System, 
                         Vegetation Map.",
             abstract = "The onset of the South American Monsoon System (SAMS) is 
                         characterized by the rapid shift of intense convective activity 
                         from the northwestern Amazon basin to southern South America (SA), 
                         and determines the timing of the rainy season onset. 
                         Surface-atmosphere interactions affect the large-scale circulation 
                         and consequently influence the SAMS. Climate models that include 
                         realistic representation of these biophysical processes are 
                         therefore expected to provide more accurate predictions of weather 
                         and climate over the SAMS region. The objective of this study was 
                         to evaluate how atmospheric forcings affected land surface 
                         processes in years when the rainy season onset occurred early 
                         (2006-2007), neutral (2004-2005) and late (2008-2009). Experiments 
                         were performed using the Integrated BIosphere Simulator (IBIS) 
                         model, forced with reanalyses data. The sensitivity of the IBIS 
                         model was evaluated using two different vegetation maps: a natural 
                         map (NAT, which did not account for land-cover change, LCC) and an 
                         updated map (DEG), which merged the original map with a LCC map of 
                         the Brazilian territory. In the updated map, degraded natural 
                         biomes in the Brazilian territory (mainly the Atlantic Forest and 
                         the Cerrado) were replaced by cultivation areas or pasture and, 
                         for this reason, showed changes in the surface variables. 
                         Simulations were performed offline to assess the impact of 
                         changing the land surface cover with the atmospheric state 
                         forcing. The difference between the simulations with the NAT and 
                         the DEG map was calculated for SeptemberNovember (SON) and 
                         December¬February (DJF). These differences showed that, DEG 
                         simulations have reduced soil moisture over the central and 
                         southern Brazil area in SON and DJF compared to the NAT 
                         simulations. In the same area for DEG simulations, the albedo 
                         increased, and thus more short-wave radiation was reflected in 
                         response to the reduction in soil moisture, resulting in reduction 
                         of latent and sensible heat fluxes at the surface. The replacement 
                         of forest-type vegetation (Atlantic Forest) by shorter vegetation 
                         (pasture) also induced a reduction in evapotranspiration, 
                         contributing to the reduction of latent heat flux. In SON, the 
                         long wave emission temperature decreased in an area close to the 
                         S{\~a}o Paulo States coast. This occurred because the reduction 
                         of surface roughness increased flow along the eastern coast, 
                         promoting cooling in this area. However, in DJF, the temperature 
                         increased, when the eastern flow is less intense. Other variables 
                         were analyzed, as net primary productivity and leaf area index, 
                         which also presented differences between the two simulations NAT 
                         and DEG. Overall, the simulation differences occurred mainly due 
                         to the vegetation map cover change (NAT and DEG). Even though the 
                         onset timing (early, neutral and late) had only a subtle effect on 
                         the results, updating the vegetation map was found to have a 
                         greater impact on surface processes in the early onset year 
                         experiments, a pattern that needs to be further investigated. The 
                         final step in the analysis will be to investigate whether using 
                         the updated vegetation map reduces the differences between the 
                         simulations and the observational data, mainly over the area 
                         15-25°S, 40-50°W, where the natural biomes were more degraded.",
  conference-location = "Online",
      conference-year = "16-19 nov. 2020",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/43MHUMS",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/43MHUMS",
           targetfile = "GT1_TALAMONIISABELLA - Isabella Talamoni.pdf",
                 type = "Estudos e Modelagem do Tempo e Clima",
        urlaccessdate = "25 abr. 2024"
}