Analysis of the impact of rainfall assimilation during LBA atmospheric mesoscale missions in Southwest Amazon
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
05/11/2013
05/11/2013
2012
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| Resumo |
The assimilation of satellite estimated precipitation data can be used as an efficient tool to improve the analysis of rainfall generated by numerical models of weather forecast. The system of data assimilation used in this study is cumulus parameterization inversion based on the Kuo scheme. Reanalysis were performed using the field experiment data of the LBA Project (WETAMC and DRYtoWET-AMC), where it was possible to verify an improvement in the simulations results, since the data assimilation corrects the position and the intensity of rainfall in the numerical model. (C) 2012 Elsevier B.V. All rights reserved. National Council for Scientific and Technological Development (CNPq) National Council for Scientific and Technological Development (CNPq) MASTER/IAG/USP MASTER/IAG/USP |
| Identificador |
ATMOSPHERIC RESEARCH, NEW YORK, v. 107, n. 41367, supl. 1, Part 3, pp. 126-144, APR, 2012 0169-8095 http://www.producao.usp.br/handle/BDPI/41214 10.1016/j.atmosres.2012.01.004 |
| Idioma(s) |
eng |
| Publicador |
ELSEVIER SCIENCE INC NEW YORK |
| Relação |
ATMOSPHERIC RESEARCH |
| Direitos |
closedAccess Copyright ELSEVIER SCIENCE INC |
| Palavras-Chave | #ATMOSPHERIC MODELING #DATA ASSIMILATION #MESOSCALE SIMULATIONS #PRECIPITATION ANALYSIS TMPA #CUMULUS PARAMETERIZATION #MODELING SYSTEM #RAMS #PREDICTION #AMERICA #FUTURE #CLOUD #METEOROLOGY & ATMOSPHERIC SCIENCES |
| Tipo |
article original article publishedVersion |
