Multi-Objective Calibration of ibis Model by Genetic Algorithm with Parametric Sensitivity Analysis

Authors

  • Amarísio da Silva Araújo Universidade Federal de Viçosa
  • Haroldo de Campos Velho Instituto Nacional de Pesquisas Espaciais (INPE)
  • Lu Minjiao Nagaoka University of Technology

DOI:

https://doi.org/10.5902/2179460X20095

Keywords:

Multi-objective calibration. IBIS model. Morris’ method. NSGA-II. FloNa Tapajós.

Abstract

Atmospheric circulation models combine different modules for a good description of the atmospheric dynamics. One of these modules is the representation of surface coverage, since the dynamics depends on the interaction between the atmosphere and the surface of the planet. However, these modules depend on a number of parameters that need to be adjusted. The parameter adjustment process is called model calibration. In this study, the IBIS (Integrated Biosphere Simulator) model is calibrated following a multi-objective strategy. The Pareto set, which embraces the non-dominated solutions in the search space of objective functions, is determined by a version of multi-objective genetic algorithm (NSGA-II). The model sensitivity to the parameters is evaluated by the Morris’ method. Synthetic data for calibration were obtained from the Tapajós National Forest (FloNa Tapajós), located near to the 67 km from Santarém-Cuiabá highway (2,51S, 54,58W).

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Author Biographies

Amarísio da Silva Araújo, Universidade Federal de Viçosa

Professor Adjunto do Departamento de Matemática da Universidade Federal de Viçosa. Doutor em Computação Aplicada pelo Instituto Nacional de Pesquisas Espaciais, tendo desenvolvido a tese intitulada: "Calibração multiobjetivo de modelos hidrológico e de superfície atmosférico".

Haroldo de Campos Velho, Instituto Nacional de Pesquisas Espaciais (INPE)

Pesquisador titular do Instituto Nacional de Pesquisas Espaciais. Tem experiência na área de Matemática Aplicada e Computação Científica, atuando principalmente nos seguintes temas: problemas inversos, assimilação de dados, modelos de turbulência para atmosfera, redes neurais artificiais, métodos numéricos.

Lu Minjiao, Nagaoka University of Technology

Professor no Departamento de Engenharia Civil e Ambiental da Nagaoka University of Technology. Trabalha em modelos de hidrologia em hidrologia; vem desenvolvendo um sistema de de modelagem hidrológica distribuída para simular o movimento da água sobre a superfície da terra.

References

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Published

2016-07-20

How to Cite

Araújo, A. da S., Velho, H. de C., & Minjiao, L. (2016). Multi-Objective Calibration of ibis Model by Genetic Algorithm with Parametric Sensitivity Analysis. Ciência E Natura, 38, 90–97. https://doi.org/10.5902/2179460X20095

Issue

Vol. 38 (2016): SPECIAL EDITION: IX WORKSHOP BRASILEIRO DE MICROMETEOROLOGIA

Section

Special Edition

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