@InProceedings{SantosLuFrGrVeGa:2010:AnSeSi,
author = "Santos, Ariane Frassoni dos and Luz, Eduardo F. P. and Freitas,
Saulo Ribeiro de and Grell, Georg and Velho, Haroldo F. de Campos
and Gan, Manoel Alonso",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and Department of Commerce, National Oceanic and Atmospheric
Administration, Earth System Research Laboratory, Global System
Division, Boulder, CO, Estados Unidos and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "An{\'a}lise de Sensibilidade das Simula{\c{c}}{\~o}es de
Precipita{\c{c}}{\~a}o Convectiva do Modelo BRAMS {\`a}s
Melhorias na Parametriza{\c{c}}{\~a}o de Cumulus",
booktitle = "Anais...",
year = "2010",
organization = "Congresso Brasileiro de Meteorologia (CBMET), 16.",
publisher = "SBMET",
address = "Rio de Janeiro",
note = "http://www.cbmet2010.com/anais/",
keywords = "Parametriza{\c{c}}{\~a}o de cumulus, BRAMS,
Precipita{\c{c}}{\~a}o.",
abstract = "The model simulation of a case of South Atlantic Convergence Zone
(SACZ) occurred on 21- 24 March 2004 using the Brazilian
developments on the Regional Atmospheric Modeling System (BRAMS)
was performed. The convective parameterization scheme of Grell and
D{\'e}v{\'e}nyi was used to represent clouds and their
interaction with the large scale environment. The
Grell-D{\'e}v{\'e}nyis method considers an ensemble of several
methodologies of cloud parameterizations. The model was run 6
times with different choice of parameterizations, and five
experiments were used with only one type of parameterization,
providing five different responses for the rainfall and the 6th
experiment ran with all parameterizations that generated a
precipitation field computed by an average among the members of
the ensemble. The purpose of this work was to generate a set of
weights to weighting the members of the ensemble of cumulus
parameterization. This is a kind of inverse problem of parameter
estimation, computed as an optimization problem, where the
objective function was computed with the quadratic difference
between the five simulated fields and observation. The
precipitation field estimated by the Tropical Rainfall Measuring
Mission (TRMM) satellite was used as observed data. A field of
weights was obtained by the Firefly optimization algorithm and it
was included in the cumulus parameterization code to simulate
again the precipitation field. The results were compared with the
6th experiment as well as with the TRMM precipitation field. The
results indicated the better skill of the model with the new
methodology compared with the old ensemble mean cumulus
parameterization.",
conference-location = "Bel{\'e}m",
conference-year = "2010",
label = "lattes: 9873289111461387 3 SantosLuFrGrVeGa:2010:AnSeSi",
language = "pt",
targetfile = "Santos_An{\'a}lise.pdf",
urlaccessdate = "15 jun. 2024"
}