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Firefly Optimization To Determine The Precipitation Field On South America

Abstract

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 Dévényi 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.

Article / Publication Data
Active/Online
YES
Volume
21
Available Metadata
Accepted On
June 19, 2012
DOI ↗
Fiscal Year
Publication Name
Inverse Problems In Science and Engineering
Published On
April 01, 2013
Final Online Publication On
October 01, 2012
Print Volume
21
Print Number
3
Page Range
451-466
Submitted On
June 17, 2012
URL ↗

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