A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...
A Look at Amazon Basin Seasonal Dynamics with the Biophysical ... A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...
Towards a South American Land Data Assimilation System (SALDAS):Investigating Potential Precipitation Forcing DataL. Gustavo Goncalves de Goncalves 1,2 , W. James Shuttleworth 1 , Bart Nijssen 1 ,Jose A. Marengo 2 , David Gochis 1 , Chou Sin Chan 2 , Kuolin Hsu 11 Department of Hydrology and Water Resources, University of Arizona,Tucson, AZ 857212 CPTEC-INPE, Cachoeira Paulista, Sao Paulo, BrazilThe overall goal of this research is to provide better understanding anddocumentation of soil moisture and surface-atmosphere processes and toimprove the initialization of the land-surface variables in the CPTEC SSiB-ETAcoupled model across South America in general, and the Amazon Region inparticular. This will be done by creating and using a South American Land DataAssimilation System (SALDAS) consisting of a two-dimensional array ofuncoupled SSiB models, calibrated using appropriate field data from LBA andearlier studies. This array of land surface models will be forced by near-surfacevariables derived from the assimilation fields of the ETA model supplemented byreal surface-based and remotely sensed observations of precipitation andradiation to the extent possible. In due course, observations gathered under theLBA program will be used for validation of the SALDAS modeled fields, whereavailable. An initial priority in this study is to evaluate alternative sources ofprecipitation forcing data. This paper reports our early studies that are concernedwith investigating the relative value of three alternative sets of precipitationforcing data, specifically, the precipitation fields used as initial condition in theCPTEC/ETA model (derived from the NCEP global model), the precipitationfields derived using the PERSIANN system (Precipitation Estimation fromRemotely Sensed Information using Artificial Neural Networks) at the Universityof Arizona, and experimental NOAA/NESDIS precipitation estimates. These dataare evaluated relative to daily rain gauge data from South America provided byseveral Brazilian agencies (CMCD/INPE, INMET, FUNCEME, LMRS/PB, ARN,DMRH/PE, SRHBA, CEPES and NMRH/AL) and compiled by CPTEC/INPE.Comparative statistics are reported for the three sets of potential forcing datarelative to the rain gauge observations for the calendar year 2000.Email Address of Corresponding Author: gustavo@hwr.arizona.edu
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Towards a South American Land D<strong>at</strong>a Assimil<strong>at</strong>ion System (SALDAS):Investig<strong>at</strong>ing Potential Precipit<strong>at</strong>ion Forcing D<strong>at</strong>aL. Gustavo Goncalves de Goncalves 1,2 , W. James Shuttleworth 1 , Bart Nijssen 1 ,Jose A. Marengo 2 , David Gochis 1 , Chou Sin Chan 2 , Kuolin Hsu 11 Department of Hydrology and W<strong>at</strong>er Resources, University of Arizona,Tucson, AZ 857212 CPTEC-INPE, Cachoeira Paulista, Sao Paulo, BrazilThe overall goal of this research is to provide better understanding anddocument<strong>at</strong>ion of soil moisture and surface-<strong>at</strong>mosphere processes and toimprove <strong>the</strong> initializ<strong>at</strong>ion of <strong>the</strong> land-surface variables in <strong>the</strong> CPTEC SSiB-ETAcoupled model across South America in general, and <strong>the</strong> <strong>Amazon</strong> Region inparticular. This will be done by cre<strong>at</strong>ing and using a South American Land D<strong>at</strong>aAssimil<strong>at</strong>ion System (SALDAS) consisting of a two-dimensional array ofuncoupled SSiB models, calibr<strong>at</strong>ed using appropri<strong>at</strong>e field d<strong>at</strong>a from LBA andearlier studies. This array of land surface models will be forced by near-surfacevariables derived from <strong>the</strong> assimil<strong>at</strong>ion fields of <strong>the</strong> ETA model supplemented byreal surface-based and remotely sensed observ<strong>at</strong>ions of precipit<strong>at</strong>ion andradi<strong>at</strong>ion to <strong>the</strong> extent possible. In due course, observ<strong>at</strong>ions g<strong>at</strong>hered under <strong>the</strong>LBA program will be used for valid<strong>at</strong>ion of <strong>the</strong> SALDAS modeled fields, whereavailable. An initial priority in this study is to evalu<strong>at</strong>e altern<strong>at</strong>ive sources ofprecipit<strong>at</strong>ion forcing d<strong>at</strong>a. This paper reports our early studies th<strong>at</strong> are concerned<strong>with</strong> investig<strong>at</strong>ing <strong>the</strong> rel<strong>at</strong>ive value of three altern<strong>at</strong>ive sets of precipit<strong>at</strong>ionforcing d<strong>at</strong>a, specifically, <strong>the</strong> precipit<strong>at</strong>ion fields used as initial condition in <strong>the</strong>CPTEC/ETA model (derived from <strong>the</strong> NCEP global model), <strong>the</strong> precipit<strong>at</strong>ionfields derived using <strong>the</strong> PERSIANN system (Precipit<strong>at</strong>ion Estim<strong>at</strong>ion fromRemotely Sensed Inform<strong>at</strong>ion using Artificial Neural Networks) <strong>at</strong> <strong>the</strong> Universityof Arizona, and experimental NOAA/NESDIS precipit<strong>at</strong>ion estim<strong>at</strong>es. These d<strong>at</strong>aare evalu<strong>at</strong>ed rel<strong>at</strong>ive to daily rain gauge d<strong>at</strong>a from South America provided byseveral Brazilian agencies (CMCD/INPE, INMET, FUNCEME, LMRS/PB, ARN,DMRH/PE, SRHBA, CEPES and NMRH/AL) and compiled by CPTEC/INPE.Compar<strong>at</strong>ive st<strong>at</strong>istics are reported for <strong>the</strong> three sets of potential forcing d<strong>at</strong>arel<strong>at</strong>ive to <strong>the</strong> rain gauge observ<strong>at</strong>ions for <strong>the</strong> calendar year 2000.Email Address of Corresponding Author: gustavo@hwr.arizona.edu
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