@InProceedings{ChristoffersenABCGIKMMRRSSVZ:2010:BaInEc,
               author = "Christoffersen, B J and Araujo, A and Baker, I T and Costa, M H 
                         and Goncalves, Luis Gustavo and Imbuzeiro, H A and Kruijt, B and 
                         Manzi, A and Muza, M and Restrepo-Coupe, N and da Rocha, H R and 
                         Sakaguchi, K and Saleska, S R and Von Randow, Celso and Zeng, X",
          affiliation = "Ecology and Evolutionary Biology, University of Arizona, Tucson, 
                         AZ, USA and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         Atmospheric Science, Colorado State University, Fort Collins, CO, 
                         USA and Meteorologia, Universidade Federal de Vio{\c{c}}sa, 
                         Vi{\c{c}}osa, Brazil and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and Meteorologia, Universidade Federal de 
                         Vio{\c{c}}sa, Vi{\c{c}}osa, Brazil and University of Wageningen, 
                         Alterra, Netherlands and Instituto Nacional de Pesquisas da 
                         Amazonia (INPA), Manaus, Brazil and Hydrological Sciences Branch, 
                         NASA Goddard Space Flight Center, Greenbelt, MD, USA and Ecology 
                         and Evolutionary Biology, University of Arizona, Tucson, AZ, USA 
                         and {} and Departamento de Ci{\^e}ncias Atmosf{\'e}ricas, 
                         Universidade de S{\~a}o Paulo, S{\~a}o Paulo, Brazil and Ecology 
                         and Evolutionary Biology, University of Arizona, Tucson, AZ, USA 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         Atmospheric Sciences, University of Arizona, Tucson, AZ, USA",
                title = "A basin-wide intercomparison of ecosystem land surface models and 
                         carbon and water flux observations in Amazonia",
            booktitle = "Abstracts...",
                 year = "2010",
         organization = "The Meeting of the Americas.",
            publisher = "AGU",
             keywords = "biogeochemical cycles, processes, modeling, carbon cycling, 
                         ecosystems, structure, dynamics.",
             abstract = "The Amazon forest plays an important and complex role in the 
                         global water and carbon cycle, and important advances have been 
                         made in understanding the underlying processes in recent years. 
                         However, reconciling modeled mechanisms with observations across 
                         scales remains a challenge. To better address this challenge, we 
                         initiated a Model Intercomparison Project for the Large-Scale 
                         Biosphere Atmosphere Experiment in Amazonia (LBA-MIP) to integrate 
                         modeling and observational studies for improved understanding of 
                         Amazon basin water and carbon cycling. Here, we report on further 
                         analysis from this project, which uses a network of meteorological 
                         observational sites (the BrasilFlux network) in forest and 
                         converted lands to drive a suite of land surface ecosystem models 
                         that simulate energy, water and CO2 fluxes. We focus here on 
                         controls on gross primary photosynthesis (GPP) and 
                         evapotranspiration (ET), and in particular on how well models 
                         capture the observed diurnal and seasonal cycles across sites. 
                         Light, moisture, and phenological controls on GPP and ET were 
                         intercompared across models and observations. Available energy as 
                         the dominant control on ET across the Amazon basin is best 
                         reproduced by those models with high moisture storage capacity, 
                         but models were able to accomplish this via different 
                         ecohydrological mechanisms. Further, some models which capture 
                         observed seasonal cycles in ET predict unrealistic patterns of 
                         leaf area index (LAI) and/or overestimate photosynthesis and light 
                         use efficiency (LUE). Modeled photosynthesis by many models also 
                         remains oversensitive to short-term drought in evergreen 
                         seasonally dry forests. This analysis highlights the need to 
                         incorporate more realistic soil-root-leaf continuum hydraulics in 
                         models and invest in ancillary measurements at flux tower sites 
                         (e.g., deep soil moisture profiles, LAI, and litterfall) designed 
                         to aid empirical discrimination among different model mechanisms 
                         used to match observed seasonal patterns.",
  conference-location = "Foa do Igua{\c{c}}u, BR",
      conference-year = "8-12 aug 2010",
             language = "en",
        urlaccessdate = "29 jun. 2024"
}