@InProceedings{BurkeHaNoShBaRaGo:2002:CaCaEn,
               author = "Burke, Eleanor J. and Harris, Phil and Nobre, Antonio D. and 
                         Shuttleworth, W. James and Bastidas, Luis A. and Randow, Celso von 
                         and Gon{\c{c}}alves, L. Gustavo Gon{\c{c}}alves de",
                title = "Calibrating the carbon and energy-water exchange processes 
                         represented in the BATS2 model for a set of natural forest 
                         ecosystems within the Amazon",
                 year = "2002",
         organization = "International LBA Scientific Conference, 2.",
             keywords = "METEOROLOGIA.",
             abstract = "Over the last decade, carbon exchange processes have been 
                         introduced into some of the more realistic and important 
                         land-surface models used in General Circulation Models (GCMs). In 
                         particular, carbon exchange is now calculated (albeit in an 
                         appropriately simple way)in the second-generation Biosphere 
                         Atmosphere Transfer Scheme (BATS2). This paper discusses automatic 
                         calibration of the description of the carbon and energy-water 
                         exchange processes represented in BATS2 using state-ofthe- art 
                         multi-parameter estimation techniques and long-term measurements 
                         of fluxes over several undisturbed Amazon forest sites. 
                         Optimization of the parameters in BATS2 was made by simultaneously 
                         minimizing the Root Mean Square Error (RMSE)between time series of 
                         observed and modeled latent- and sensible-heat fluxes and CO2 
                         exchange. This procedure provides values of preferred sets of the 
                         many model parameters used in BATS2 in the different conditions 
                         for which extended time series of undisturbed forest data are 
                         available through the LBA Experiment. In most cases the 
                         optimization algorithm defines preferred parameters that lie 
                         comfortably within the predefined range of plausible values, but 
                         in some cases the preferred values are close to the edge of this 
                         range. The RMSE between modeled and measured fluxes was 
                         significantly reduced when the optimized parameters were used over 
                         the {"}default{"} values of parameters that would otherwise be 
                         assigned in BATS for the tropical forest biome. Investigations 
                         were carried out as to how preferred sets of model parameters 
                         change with site and season. It should be noted that model 
                         calibration also (implicitly)provides an extra level of quality 
                         control on the LBA data by flagging times when individual data 
                         points are inconsistent with the remainder of the data.",
  conference-location = "Manaus, Br",
      conference-year = "7-10 July 2002",
                label = "10224",
           targetfile = "9304.pdf",
        urlaccessdate = "20 maio 2024"
}