A multi-objective hierarchical calibration procedure for land surface/ecosystem models

Varejão, Claudeci Gomes; Costa, Marcos Heil; Camargos, Carla

doi:10.1080/17415977.2011.639453

Cited by 8 publications

(12 citation statements)

References 40 publications

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“…De maneira geral, o modelo INLAND conseguiu representar satisfatoriamente os fluxos observados no sítio experimental. Dentre os índices estatísticos mostrados na tabela 2, destaca-se positivamente os altos valores do coeficiente de determinação de LE e Rn (0,93 e 0,99, respectivamente), os baixos valores de RMSE para G e Rn (5,95 e 6,07, respectivamente) e a ligeira subestimativa (superestimativa) de H (LE), PBIASmod de -0,3 (PBIASmod de 7,33), valores próximos ou de melhor ajuste aos encontrados na literatura (Varejão et al, 2013).…”

Section: Resultados Calibração Dos Parâmetros Específicos Da Coberturunclassified

Mudanças na cobertura do solo sobre os campos do sul do Brasil: modelagem dos impactos sobre os fluxos mudanças na cobertura do solo

Goergen

Valdés

Roberti

et al. 2018

CeN

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In this work, we investigated the impacts of land cover changes on the surface energy balance, on the Campos Sulinos of Southern Brazilian. For this, we used the INLAND model to simulate the multiple processes that occur in the soil-vegetation-atmosphere system, considering three experiments, called control (ctrl), agriculture (agr) and bare soil (bar). The results showed that the model was able to satisfactorily represent the surface energy flux considering the natural vegetation in the Pampa biome. The changes in the physiological parameters showed the great influence that the vegetation cover exerts on the components of the surface energy balance, especially in relation to the reduction of the net radiation (approximately 20% in the conversion 1 and 40% in the conversion 2), caused largely by the increase in surface albedo (around 10% in the conversion 1 and 17% in the conversion 2). Consequently, latent and sensitive heat fluxes also show a significant reduction.

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Section: Resultados Calibração Dos Parâmetros Específicos Da Coberturunclassified

Mudanças na cobertura do solo sobre os campos do sul do Brasil: modelagem dos impactos sobre os fluxos mudanças na cobertura do solo

Goergen

Valdés

Roberti

et al. 2018

CeN

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“…After that, the estimation of parameter of level Lj+1 is started, and so on. Varejão et al (2013) have used data obtinaed from the Flona Tapajós. This site is located near the 67 km of Santarém-Cuiabá highway (2.51S, 54.58W).…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The period for data aquisition was from January-2002 to December-2004. The parameter set estimated by Varejão et al (2013) was used to generate a synthetic observations executing the IBIS model. A white Gaussian noise with 5% of level was added to the synthetic observation.…”

Section: Numerical Resultsmentioning

confidence: 99%

Multi-Objective Calibration of Ibis Model by Genetic Algorithm With Parametric Sensitivity Analysis

Araújo

Velho

2016

CeN

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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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“…In this study, we calibrated the surface fluxes (Rr, H, LE, and NEE) to solve a multi-criteria optimization problem [10,12,13]. INLAND parameters were automatically calibrated using the genetically adaptive multi-objective calibration method (AMALGAM) [11], which allows finding a set of parameters that defines the "Pareto-optimal" curve corresponding to a vector of multiple objective functions.…”

Section: Calibration: Hierarchical and Multi-objective Approachmentioning

confidence: 99%

“…Currently, multi-criteria calibration methodologies that involve simultaneously minimizing a vector with several objective functions have been widely used to calibrate LSEMs [10][11][12][13]. These methodologies are a better approach to simultaneously optimize multiple model outputs.…”

Section: Introductionmentioning

confidence: 99%

Energy and CO2 Fluxes over Native Fields of Southern Brazil through Multi-Objective Calibration of INLAND Model

et al. 2020

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Land surface/ecosystem models (LSEMs) play a key role in understanding the Earth’s climate. They represent ecosystem dynamics by simulating fluxes occurring between the biosphere and atmosphere. However, for a correct flux simulation, it is critical to calibrate the model using robust and state-of-the-art calibration techniques. In this work, we optimize parameters of the Integrated Model of Land Surface Processes (INLAND) using the hierarchical multi-objective calibration method (AMALGAM) to improve the representation of surface processes in a natural ecosystem over the Pampa biome in South America. The calibration was performed using experimental data of energy and CO2 flux collected in a native field located in southern Brazil. We compared simulations using the default and calibrated parameter set. The results show that the calibration of the model significantly improved all fluxes analyzed. The mean errors and bias values were significantly reduced, and the seasonality of fluxes was better represented. This work is one of the first to apply a multi-objective calibration in an LSEM to represent surface fluxes in the Pampa biome, presenting a consistent set of parameters for future applications used in studies of biome land use and land cover.

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A multi-objective hierarchical calibration procedure for land surface/ecosystem models

Cited by 8 publications

References 40 publications

Mudanças na cobertura do solo sobre os campos do sul do Brasil: modelagem dos impactos sobre os fluxos mudanças na cobertura do solo

Mudanças na cobertura do solo sobre os campos do sul do Brasil: modelagem dos impactos sobre os fluxos mudanças na cobertura do solo

Multi-Objective Calibration of Ibis Model by Genetic Algorithm With Parametric Sensitivity Analysis

Energy and CO2 Fluxes over Native Fields of Southern Brazil through Multi-Objective Calibration of INLAND Model

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