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Title: Inter-annual variability of carbon and water fluxes in Amazonian forest, Cerrado and pasture sites, as simulated by terrestrial biosphere models
Authors: Von Randow, Celso
Zeri, Marcelo
Restrepo-Coupé, Natalia
Muza, Michel Nobre
Gonçalves, Luis Gustavo de
Costa, Marcos Heil
Araüjo, Alessandro Carioca de
Manzi, Antônio Ocimar
Rocha, Humberto Ribeiro da
Saleska, Scott Reid
Arain, Muhammad Altaf
Baker, Ian T.
Cestaro, Bruno P.
Christoffersen, Bradley O.
Ciais, Philippe
Fisher, Joshua B.
Galbraith, David R.
Guan, Xiaodan
Van Den Hurk, B. J.J.M.
Ichii, Kazuhito
Imbuzeiro, Hewlley Maria Acioli
Jain, Atul K.
Levine, Naomi Marcil
Miguez-Macho, Gonzalo
Poulter, Benjamin
Roberti, Débora Regina
Sahoo, Alok Kumar
Schaefer, Kevin M.
Shi, Mingjie
Tian, Hanqin
Verbeeck, Hans
Yang, Zongliang
Keywords: Annual Variation
Carbon Flux
Flux Measurement
Land Surface
Net Ecosystem Exchange
Surface Flux
Water Flow
Issue Date: 2013
metadata.dc.publisher.journal: Agricultural and Forest Meteorology
metadata.dc.relation.ispartof: Volume 182-183, Pags. 145-155
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..
metadata.dc.identifier.doi: 10.1016/j.agrformet.2013.05.015
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