@Article{AraújoCampMinj:2016:MuCaIB,
author = "Ara{\'u}jo, Amar{\'{\i}}sio S. and Campos Velho, Haroldo Fraga
de and Minjiao, Lu",
affiliation = "{Universidade Federal de Vi{\c{c}}osa (UFV)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Nagaoka University of
Technology}",
title = "Multi-objective calibration of IBIS model by genetic algorithm
with parametric sensitivity analysis",
journal = "Ci{\^e}ncia e Natura",
year = "2016",
volume = "38",
number = "Esp.",
pages = "90--97",
note = "IX Workshop Brasileiro de Micrometeorologia, 2016.",
keywords = "Multi-objective calibration, IBIS model, Morris’ method, NSGA-II,
FloNa Tapaj{\'o}s.",
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 Tapaj{\'o}s National Forest (FloNa
Tapaj{\'o}s), located near to the 67 km from
Santar{\'e}m-Cuiab{\'a} highway (2,51S, 54,58W).",
doi = "10.5902/2179460X20095",
url = "http://dx.doi.org/10.5902/2179460X20095",
issn = "0100-8307 and 2179-460X",
language = "en",
targetfile = "Araujo_multiobjective.pdf",
url = "http://periodicos.ufsm.br/cienciaenatura/article/view/20095/pdf",
urlaccessdate = "27 abr. 2024"
}