HR: 10:35h
AN: B42A-02    [Abstracts]
TI: Modeling surface hydrology across the Amazon Basin using a Variable Infiltration Capacity approach
AU: Victoria, D d
EM: dcvictori@cena.usp.br
AF: Centro de Energia Nuclear na Agricultura, Av Centenario, 303, Piracicaba, SP 13416-000 Brazil
AU: Richey, J E
EM: jrichey@u.washington.edu
AF: School of Oceanography, University of Washington, Box 355351, Seattle, SP 98195 Brazil
AU: Santiago, A V
EM: santiago@esalq.usp.br
AF: Centro de Energia Nuclear na Agricultura, Av Centenario, 303, Piracicaba, SP 13416-000 Brazil
AU: Pereira, A R
EM: preira@esalq.usp.br
AF: Centro de Energia Nuclear na Agricultura, Av Centenario, 303, Piracicaba, SP 13416-000 Brazil
AU: Krusche, A V
EM: alex@cena.usp.br
AF: Centro de Energia Nuclear na Agricultura, Av Centenario, 303, Piracicaba, SP 13416-000 Brazil
AU: * Ballester, V R
EM: vicky@cena.usp.br
AF: Centro de Energia Nuclear na Agricultura, Av Centenario, 303, Piracicaba, SP 13416-000 Brazil
AB: The large amount of vital field information gathered by the Large Scale Atmosphere-Biosphere Experiment in Amazonia has significantly improved our knowledge of the Amazon ecosystem dynamics. Due to the extent of the amazon basin, models have become key tools to synthesize this knowledge and to improve the understanding of the basin wide ecosystem functioning. Therefore, to be able to predict the basin hydrology and river biogeochemistry, we are calibrating the Variable Infiltration Capacity model for the Amazon basin. First, we have developed a series of regional GIS libraries and input data sets for the area compiled at 0.1deg from different sources, including remote sensing, maps and observational data gathered at the field.. Soil texture, leaf area index and albedo were the main targets. Our results, reveal good temporal and spatial distribution of evapotranspiration and discharge (R2 = 0.775). For both parameters, modeled values were in the same range of those measured at the field. Soil texture and land use/cover effects on the water cycle are clearly shown. While pasture areas present lower values of ET, the forest maintains higher levels of ET during the dry season.
DE: 0400 Biogeosciences
SC: Biogeosciences [B]
MN: 2004 AGU Fall Meeting