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@Article{VonRandowZRMGCAMRSABCCCFGGHIIJLMPRSSSTVY:2013:InVaCa,
               author = "Von Randow, Celso and Zeri, Luis Marcelo de Mattos and 
                         Restrepo-Coupe, N. and Muza, M. N. and Gon{\c{c}}alves, L. G. G. 
                         de and Costa, M. H. and Araujo, A. C. and Manzi, A. O. and Rocha, 
                         H. R. da and Saleska, S. R. and Arain, M. A. and Baker, I. T. and 
                         Cestaro, B. P. and Christoffersen, B. and Ciais, P. and Fisher, J. 
                         B. and Galbraith, D. and Guan, X. and Hurk, B. van den and Ichii, 
                         K. and Imbuzeiro, H. and Jain, A. and Levine, N. and Miguez-Macho, 
                         G. and Poulter, B. and Roberti, D. R. and Sahoo, A. and Schaefer, 
                         K. and Shi, M. and Tian, H. and Verbeeck, H. and Yang, Z. -L.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and Plant Functional 
                         Biology and Climate Change Cluster, University of Technology, 
                         Sydney, Australia and Instituto Federal de Santa Catarina, 
                         Florian{\'o}polis, SC, Brazil and Centro de Previs{\~a}o de 
                         Tempo e Estudos Clim{\'a}ticos, Instituto Nacional de Pesquisas 
                         Espaciais, Cachoeira Paulista, SP, Brazil and Dep. Agricultural 
                         Engineering, Federal University of Vi{\c{c}}osa, Vi{\c{c}}osa, 
                         MG, Brazil and Embrapa Amaz{\^O}nia Oriental, Bel{\'e}m, PA, 
                         Brazil and Instituto Nacional de Pesquisas da Amaz{\^O}nia 
                         (INPA), Manaus, AM, Brazil and Departamento de Ci{\^e}ncias 
                         Atmosfericas, IAG, Universidade de S{\~a}o Paulo, S{\~a}o Paulo, 
                         Brazil and Department of Ecology and Evolutionary Biology, 
                         University of Arizona, Tucson, AZ, United States and School of 
                         Geography and Earth Sciences, McMaster University, Hamilton, ON, 
                         Canada and Atmospheric Science Department, Colorado State 
                         University, Fort Collins, CO, United States and Departamento de 
                         Ci{\^e}ncias Atmosfericas, IAG, Universidade de S{\~a}o Paulo, 
                         S{\~a}o Paulo, Brazil and Department of Ecology and Evolutionary 
                         Biology, University of Arizona, Tucson, AZ, United States and 
                         Laboratoire des Sciences du Climat et de l'Environnement, CEA Orme 
                         des Merisiers, Gif sur Yvette, France and Jet Propulsion 
                         Laboratory, California Institute of Technology, Pasadena, CA, 
                         United States and School of Geography, University of Leeds, Leeds, 
                         United Kingdom and Center for Integrated Earth System Science, 
                         Department of Geological Sciences, The University of Texas at 
                         Austin, Austin, TX, United States and Royal Netherlands 
                         Meteorological Institute (KNMI), De Bilt, Netherlands and Faculty 
                         of Symbiotic Systems Science, Fukushima University, Japan and Dep. 
                         Agricultural Engineering, Federal University of Vi{\c{c}}osa, 
                         Vi{\c{c}}osa, MG, Brazil and Department of Atmospheric Sciences, 
                         University of Illinois at Urbana-Champaign, Urbana, IL, United 
                         States and Department of Organismic and Evolutionary Biology, 
                         Harvard University, Cambridge, MA, United States and Condensed 
                         Matter Physics Department, University of Santiago de Compostela, 
                         Santiago de Compostela, Spain and Laboratoire des Sciences du 
                         Climat et de l'Environnement, CEA Orme des Merisiers, Gif sur 
                         Yvette, France and Dept of Physics, Federal University of Santa 
                         Maria, Santa Maria, RS, Brazil and Department of Civil and 
                         Environmental Engineering, Princeton University, Princeton, NJ, 
                         United States and National Snow and Ice Data Center, University of 
                         Colorado at Boulder, Boulder, CO, United States and Center for 
                         Integrated Earth System Science, Department of Geological 
                         Sciences, The University of Texas at Austin, Austin, TX, United 
                         States and School of Forestry and Wildlife Sciences, Auburn 
                         University, Auburn, AL, United States and Laboratory of Plant 
                         Ecology, Ghent University, Ghent, Belgium and Center for 
                         Integrated Earth System Science, Department of Geological 
                         Sciences, The University of Texas at Austin, Austin, TX, United 
                         States",
                title = "Inter-annual variability of carbon and water fluxes in Amazonian 
                         forest, Cerrado and pasture sites, as simulated by terrestrial 
                         biosphere models",
              journal = "Agricultural and Forest Meteorology",
                 year = "2013",
               volume = "182-183",
                pages = "145--155",
             keywords = "annual variation, biosphere, carbon flux, cerrado, ecotone, 
                         evapotranspiration, flux measurement, land surface, net ecosystem 
                         exchange, pasture, rainfall, rainforest, savanna, surface flux, 
                         water flow, Amazonia, Brazil.",
             abstract = "This study analyzes the inter-annual variability (IAV) of 
                         simulations of 21 different land surface model formulations, 
                         driven by meteorological conditions measured at 8 flux towers, 
                         located in rain forest, forest-savanna ecotone and pasture sites 
                         in Amazonia, and one in savanna site in Southeastern Brazil. 
                         Annual totals of net ecosystem exchange (NEE) of carbon and 
                         evapotranspiration (ET), measured and simulated by each model for 
                         each site-year, were compared in terms of year-to-year variability 
                         and possible relation to climate drivers. Results have shown that 
                         most of models simulations for annual totals of NEE and ET, and 
                         IAV of these fluxes, are frequently different from measurements. 
                         The average of the model simulations of annual fluxes tend to 
                         respond to climatic drivers similarly to the observations, but 
                         with noticeable discrepancies. Annual measurements of NEE are 
                         negatively correlated to annual rainfall in the forest sites 
                         group. Although the ensemble of all models yields a similar 
                         result, only three model formulations reproduce a significant 
                         negative correlation of simulated NEE with rainfall. For the IAV 
                         of ET, tower measurements are controlled by annual variations of 
                         radiation and this feature is captured by the ensemble of the 
                         models, both at individual sites and when all forest sites are 
                         grouped. However, simulated ET values are also significantly 
                         correlated to the amount of precipitation in many models and in 
                         the model ensemble, while there is no significant correlation in 
                         the observations. In general, the surface models are able to 
                         reproduce the responses of fluxes to climatic drivers, but 
                         improvements are still needed to better capture their inter-annual 
                         variability. © 2013 Elsevier B.V.",
                  doi = "10.1016/j.agrformet.2013.05.015",
                  url = "http://dx.doi.org/10.1016/j.agrformet.2013.05.015",
                 issn = "0168-1923",
                label = "scopus 2013-11",
             language = "en",
           targetfile = "CvonRandow_LBA-DMIP_finaldraft.pdf",
        urlaccessdate = "17 jun. 2024"
}


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