NUMERICAL MODELING OF TRIMONTHLY VARIATION OF VEGETATION PHYSICAL PARAMETERS

Authors

  • Gabriel Pereira Instituto Nacional de Pesquisas Espaciais
  • Maria Elisa Siqueira Silva Universidade de São Paulo. Faculdade de Filosofia, Letras e Ciências Humanas

DOI:

https://doi.org/10.11606/issn.2179-0892.geousp.2013.75439

Keywords:

RegCM4, Physical parameters, Dynamic vegetation, Numerical modeling, Remote sensing.

Abstract

This work aims to evaluate the impact of updating the physical-chemical and biological properties used by the Biosphere Atmosphere Transfer Scheme (Bats) in RegCM4 numerical model. In original simulation, using the original dataset of RegCM4, the precipitation for 2007 was underestimated in 12%, presenting a correlation of 84% (significant at p < 0.05, Student’s t-test). However, the trimonthly modeling of the physical parameters occasioned a significant reduction of precipitation error (underestimation of 3% and 92% correlation, significant at p < 0.05, Student's t test). Also, maximum and minimum temperature showed a good agreement in both simulations when compared with observed data.

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Author Biography

  • Gabriel Pereira, Instituto Nacional de Pesquisas Espaciais
    Possui graduação em Geografia pela Universidade do Estado de Santa Catarina (2004) e mestrado em Sensoriamento Remoto pelo Instituto Nacional de Pesquisas Espaciais (2008). Atualmente é doutorando dos cursos de Sensoriamento Remoto (INPE) e Geografia Física (USP). Tem experiência na área de Geociências, com ênfase em Sensoriamento Remoto, atuando principalmente nos seguintes temas: sensoriamento remoto, geoprocessamento, análise ambiental, clima urbano e urbanização.

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Published

2013-12-30

Issue

Vol. 17 No. 3 (2013)

Section

Articles

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Copyright (c) 2013 Gabriel Pereira, Maria Elisa Siqueira Silva

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How to Cite

PEREIRA, Gabriel; SILVA, Maria Elisa Siqueira. NUMERICAL MODELING OF TRIMONTHLY VARIATION OF VEGETATION PHYSICAL PARAMETERS. GEOUSP Espaço e Tempo (Online), São Paulo, Brasil, v. 17, n. 3, p. 70–80, 2013. DOI: 10.11606/issn.2179-0892.geousp.2013.75439. Disponível em: https://revistas.usp.br/geousp/article/view/75439.. Acesso em: 15 may. 2024.