@Article{GoergenVaDeGoHeGoRo:2020:EnCOFl,
               author = "Goergen, Guilherme and Vald{\'e}s, Roilan Hern{\'a}ndez and 
                         Degrazia, Gerv{\'a}sio Annes and Gotuzzo, Ricardo Acosta and 
                         Herdies, Dirceu Lu{\'{\i}}s and Gon{\c{c}}alves, Luis Gustavo 
                         Gon{\c{c}}alves de and Roberti, D{\'e}bora Regina",
          affiliation = "{Universidade Federal do Pampa (UNIPAMPA)} and {Universidade 
                         Federal de Santa Maria (UFSM)} and {Universidade Federal de Santa 
                         Maria (UFSM)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal de Santa Maria (UFSM)}",
                title = "Energy and CO2 fluxes over native fields of Southern Brazil 
                         through multi-objective calibration of inland model",
              journal = "Geosciences (Switzerland)",
                 year = "2020",
               volume = "10",
               number = "12",
                pages = "1--26",
                month = "Dec.",
             keywords = "land surface and ecosystem models, calibration, latent and 
                         sensitive heat fluxes, net ecosystem exchange, Pampa biome, Eddy 
                         covariance.",
             abstract = "Land surface/ecosystem models (LSEMs) play a key role in 
                         understanding the Earths climate. They represent ecosystem 
                         dynamics by simulating fluxes occurring between the biosphere and 
                         atmosphere. However, for a correct flux simulation, it is critical 
                         to calibrate the model using robust and state-of-the-art 
                         calibration techniques. In this work, we optimize parameters of 
                         the Integrated Model of Land Surface Processes (INLAND) using the 
                         hierarchical multi-objective calibration method (AMALGAM) to 
                         improve the representation of surface processes in a natural 
                         ecosystem over the Pampa biome in South America. The calibration 
                         was performed using experimental data of energy and CO2 flux 
                         collected in a native field located in southern Brazil. We 
                         compared simulations using the default and calibrated parameter 
                         set. The results show that the calibration of the model 
                         significantly improved all fluxes analyzed. The mean errors and 
                         bias values were significantly reduced, and the seasonality of 
                         fluxes was better represented. This work is one of the first to 
                         apply a multi-objective calibration in an LSEM to represent 
                         surface fluxes in the Pampa biome, presenting a consistent set of 
                         parameters for future applications used in studies of biome land 
                         use and land cover.",
                  doi = "10.3390/geosciences10120479",
                  url = "http://dx.doi.org/10.3390/geosciences10120479",
                 issn = "2076-3263",
             language = "en",
           targetfile = "geosciences-10-00479.pdf",
        urlaccessdate = "25 abr. 2024"
}