@Article{BrunsellOlBaShMoAr:2021:CoNoMO,
               author = "Brunsell, Nathaniel A. and Oliveira, Gabriel de and Barlage, 
                         Michael and Shimabukuro, Yosio Edemir and Moraes, Elisabete Caria 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
          affiliation = "{University of Kansas} and {University of Kansas} and {National 
                         Center for Atmospheric Research} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Examination of seasonal water and carbon dynamics in eastern 
                         Amazonia: a comparison of Noah-MP and MODIS",
              journal = "Theoretical and Applied Climatology",
                 year = "2021",
               volume = "143",
                pages = "571--583",
             abstract = "The Amazon region of Brazil is a vitally important region for 
                         water and carbon cycling both for the region and the globe. This 
                         region is experiencing the impacts of global climate change as 
                         well as local land cover changes. Here, we investigated water and 
                         carbon estimates and related remotely sensed variables from both 
                         MODIS satellite and the Noah-MP land surface model for 3 years 
                         (20152017) in the state of Mato Grosso, Brazil. Land surface 
                         temperature agrees well between MODIS and the model, while the 
                         leaf area index (LAI) is higher in the model simulations. The 
                         monthly evapotranspiration (ET) from MODIS (MOD16A2) and gross 
                         primary productivity (GPP, MOD17A2) were lower than, but well 
                         correlated with, the model simulations. A noticeable exception was 
                         in the Broadleaf Forest class, which accounts for approximately 
                         50% of the land cover in the state, where the modeled LAI was out 
                         of phase with the satellite observations, resulting in 
                         significantly poorer performance in the water and carbon fluxes 
                         for that land cover class. In addition, we investigated the 
                         sensitivity of the ET and GPP to precipitation forcing. The 
                         modeled ET relationships show correlations of approximately 0.6 
                         for all classes (Broadleaf Forest being the exception, 0.24), 
                         while the MODIS shows reduced values averaging about 0.5 
                         (Broadleaf Forest = 0.03). The slopes of the relationships 
                         illustrated the same sensitivity between MODIS and Noah-MP with 
                         the exception of Grasslands and Open Shrublands. The GPP 
                         relationships with precipitation show lower correlations across 
                         all land cover types for both MODIS and Noah-MP, with the slopes 
                         being significantly different for the Open Shrublands and 
                         Broadleaf Forest classes. In each of these classes, the Noah-MP 
                         simulations resulted in increased sensitivity to precipitation 
                         than was observed in the MODIS products. We highlight that this 
                         comparison is essential for increasing our understanding of how 
                         these different sources estimate water and carbon cycling and can 
                         be utilized for assessing the impacts of climate and land cover 
                         change in the region.",
                  doi = "10.1007/s00704-020-03435-6",
                  url = "http://dx.doi.org/10.1007/s00704-020-03435-6",
                 issn = "0177-798X",
             language = "en",
           targetfile = "Brunsell2021_Article_ExaminationOfSeasonalWaterAndC.pdf",
        urlaccessdate = "09 maio 2024"
}