HR: 0800h
AN: H31C-03    [Abstracts]
TI: Retrospective atmospheric forcing datasets in support to the South American Land Data Assimilation System (SALDAS)
AU: * Larroza, E G
EM: elarroza@cptec.inpe.br
AF: Centro de Previsao do Tempo e Estudos Climaticos (CPTEC/INPE), Rod. Presidente Dutra, Km 40, Cachoeira Paulista, SP 12630-000, Brazil
AU: de Goncalves, L G
EM: gustavo@hsb.gsfc.nasa.gov
AF: NASA/GSFC Code 614.3, Greenbelt Rd., Greenbelt, MD 20771, United States
AU: Bottino, M J
EM: bottino@cptec.inpe.br
AF: Centro de Previsao do Tempo e Estudos Climaticos (CPTEC/INPE), Rod. Presidente Dutra, Km 40, Cachoeira Paulista, SP 12630-000, Brazil
AU: Rozante, J R
EM: rozante@cptec.inpe.br
AF: Centro de Previsao do Tempo e Estudos Climaticos (CPTEC/INPE), Rod. Presidente Dutra, Km 40, Cachoeira Paulista, SP 12630-000, Brazil
AU: Vila, D
EM: dvila2001@hotmail.com
AF: CICS/ESSIC/UMCP, 2207 Computer Sciences Bldg., College Park, MD 20742-246, United States
AU: Herdies, D L
EM: dirceu@cptec.inpe.br
AF: Centro de Previsao do Tempo e Estudos Climaticos (CPTEC/INPE), Rod. Presidente Dutra, Km 40, Cachoeira Paulista, SP 12630-000, Brazil
AU: Rodell, M
EM: Matthew.Rodell@nasa.gov
AF: NASA/GSFC Code 614.3, Greenbelt Rd., Greenbelt, MD 20771, United States
AU: Shuttleworth, W J
EM: shuttle@hwr.arizona.edu
AF: SAHRA;Dept. of Hydrology and Water Resources University of Arizona, Marshall Bldg, 845 N. Park, Tucson, AZ 85721, United States
AU: Toll, D L
EM: david.l.toll@nasa.gov
AF: NASA/GSFC Code 614.3, Greenbelt Rd., Greenbelt, MD 20771, United States
AB: Land surface models (LSM) have been extensively used to better represent hydrological and land surface processes, providing lower boundary conditions for numerical climate and weather simulations. However, since the quality of the atmospheric forcing greatly impact LSM simulations the recently, so-called Land Data Assimilation Schemes (LDAS) have been successfully employed to provide improved initial surface fields of soil moisture for use in predictive meteorological models (in near real time) and to address land-surface management issues. However on some regions of the globe, in particular South America, it can pose an important challenge when using LDAS or when assessing the performance of coupled (or uncoupled) land- atmosphere parameterizations due to the scarcity of comprehensive land-surface data at the spatial and temporal resolutions at which the models operate. On that basis a South American Land Data Assimilation System (SALDAS) was created by a joint initiative between NASA/Goddard Space Flight Center and the Centro de Previsao do Tempo e Estudos Climaticos (CPTEC), part of the Brazilian National Institute for Space Research (INPE) and in collaboration with the Department of Hydrology and Water Resources at the University of Arizona. The project has produced retrospective (2000 2004) datasets to support LSM studies over South America, featuring 0.125 degree spatial resolution, 3-hourly temporal output with nine primary forcing fields based on the South American Regional Reanalysis (SARR) produced at CPTEC, supplemented by observed-based shortwave radiation and precipitation from TRMM merged with surface gauges. This study presents an overview of the data production, quality control and validation efforts including comparison against independent automatic surface weather stations which provide high temporal measurements over regions with different climate regimes in South America.
DE: 0315 Biosphere/atmosphere interactions (0426, 1610)
DE: 1840 Hydrometeorology
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
DE: 1899 General or miscellaneous
SC: Hydrology [H]
MN: 2007 Joint Assembly