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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Firefly optimization to determine the precipitation field on South America

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Autor(es):
dos Santos, Ariane F. [1] ; de Campos Velho, Haroldo F. [2] ; Luz, Eduardo F. P. [2] ; Freitas, Saulo R. [1] ; Grell, Georg [3] ; Gan, Manoel A. [1]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Inst Nacl Pesquisas Espaciais, Ctr Previsao Tempo & Estudos Climat, Cachoeira Paulista, SP - Brazil
[2] Inst Nacl Pesquisas Espaciais, Lab Associado Comp & Matemat Aplicada, BR-12201 Sao Jose Dos Campos, SP - Brazil
[3] US Dept Commerce, Global Syst Div, Earth Syst Res Lab, Natl Ocean & Atmospher Adm, Boulder, CO 80305 - USA
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: Inverse Problems in Science and Engineering; v. 21, n. 3, SI, p. 451-466, APR 1 2013.
Citações Web of Science: 6
Resumo

A model simulation of an intense rainfall associated with a case of South Atlantic Convergence Zone that occurred during 21-24 February 2004 using the Brazilian developments on the Regional Atmospheric Modelling System was performed. The convective parameterization scheme of Grell and Devenyi was used to represent clouds of the sub-grid scale and their interaction with the large-scale environment. This method is a convective parameterization that can make use of a large variety of approaches previously introduced in earlier formulations, considering an ensemble of several hypotheses and closures. The rainfall was evaluated by six experiments, using different choices of rainfall parameterizations, providing six different simulated responses for the rainfall field. The sixth experiment ran with an average among five closures (ensemble mean). The purpose of this study was to generate a set of weights to compute a best combination of the ensemble members. This inverse problem of parameter estimation is solved as an optimization problem. The objective function was computed with the quadratic difference between five simulated precipitation fields and observation. The precipitation field estimated by the Tropical Rainfall Measuring Mission satellite was used as observed data. Weights were obtained using the firefly optimization algorithm and it was included in the cumulus parameterization code to simulate precipitation. The results indicated the better skill of the model with the new methodology compared with the old ensemble mean calculation. (AU)

Processo FAPESP: 08/01983-0 - Desenvolvimento e implementação de procedimento de 'training' em parametrizações convectivas do CPTEC/INPE
Beneficiário:Ariane Frassoni dos Santos de Mattos
Linha de fomento: Bolsas no Brasil - Doutorado