LBA-Model Intercomparison Project: Scientific Issues and Initial Results
Michel
Nobre
Muza, Earth System Science Interdisciplinary Center (ESSIC) - University of Maryland, Hydrological Sciences Branch, Code 614.3 - NASA Goddard Space Flight Center,, michel.n.muza@nasa.gov
(Presenting)
Luis
Gustavo G. de
Goncalves, Earth System Science Interdisciplinary Center (ESSIC) - University of Maryland, Hydrological Sciences Branch, Code 614.3 - NASA Goddard Space Flight Center,, luis.g.degoncalves@nasa.gov
(Presenting)
Natalia
Restrepo-Coupe, Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, ncoupe@email.arizona.edu
Scott
Saleska, Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, saleska@email.arizona.edu
Rafael
Rosolem, Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona, rosolem@email.arizona.edu
Xubin
Zeng, Institute of Atmospheric Physics, The University of Arizona, Tucson, Arizona, xubin@gogo.atmo.arizona.edu
Naomi
Marcil
Levine, Massachusetts Institute of Technology/Woods Hole Oceanographic Institution Joint Program, Woods Hole, Massachusetts, USA, nlevine@oeb.harvard.edu
This work presents the progresses in the first year of the Large-Scale Biosphere-Atmosphere Experiment in Amazonia - Model Intercomparison Project (LBA-MIP) funded by the NASA Terrestrial Ecology program (NNH08ZDA001N-TE). The main goal of the LBA-DMIP is to understand how the different land-surface models (LSM) simulate the biogeophysical processes in the Amazon, consisting of two phases: the first takes advantage of measurements of unique ecosystems made during LBA at eight flux tower sites across the Amazon. On the second phase, gridded regional simulations will be performed in order to investigate the exchange of carbon, heat and water between surface and atmosphere considering the Amazon as a whole region. This is a report on the first investigative analyses and decisions that have being taken about input and output data, modeling strategy and preliminary simulations. During the first year, atmospheric drivers for the eight LBA sites were made available at the best quality possible for the modeling groups. As part of this effort three different methods for downward longwave radiation for observations gap-filling were investigated. Those methods are based on Idso 1981, Kruk et al. 2009 and a third method that considers the net radiation between incident surface long wave and short wave radiation (LWnet). As part of the methods evaluation, diurnal cycle and frequency distributions were analyzed. Small differences among the three methods on Amazon sites were found, however we noted larger differences on central Brazil. LWnet method showed a larger variation of diurnal cycle in the dry season, which it is seasonal variation characteristic of the savanna ecosystem on central Brazil. Moreover, the change in the patterns of the distribution of frequency for LWnet between wet and dry season are more evident to the LWnet than when using the other methods. Other aspects of the first year of this project, concerning data production and evaluation are also presented.
Presentation Type: Poster
Poster Session: Ecosystems Science
NASA TE Funded Awards Represented:
Goncalves, Luis
The Data-Model Intercomparison Project for the Large Scale Biosphere-Atmosphere Experiment of the Amazon (LBA-DMIP)