Energy and CO<sub>2</sub> Fluxes over Native Fields of Southern Brazil through Multi-Objective Calibration of INLAND Model
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-t...
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doaj-2c6fdc3dcb1e40e7906a2148f4006d1f2020-11-27T08:07:39ZengMDPI AGGeosciences2076-32632020-11-011047947910.3390/geosciences10120479Energy and CO<sub>2</sub> Fluxes over Native Fields of Southern Brazil through Multi-Objective Calibration of INLAND ModelGuilherme Goergen0Roilan Hernández Valdés1Gervásio Annes Degrazia2Ricardo Acosta Gotuzzo3Dirceu Luis Herdies4Luis Gustavo Gonçalves de Gonçalves5Débora Regina Roberti6Department of Mathematics (Bagé), Federal University of Pampa (UNIPAMPA), Bagé 96460-000, Rio Grande do Sul, BrazilDepartment of Physics, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, Rio Grande do Sul, BrazilDepartment of Physics, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, Rio Grande do Sul, BrazilEarth System Science Center (CCST), National Institute for Space Research (INPE), São José dos Campos 12200-000, São Paulo, BrazilCenter for Weather Forecasting and Climate Studies (CPTEC), National Institute for Space Research (INPE), Cachoeira Paulista 12630-000, São Paulo, BrazilCenter for Weather Forecasting and Climate Studies (CPTEC), National Institute for Space Research (INPE), Cachoeira Paulista 12630-000, São Paulo, BrazilDepartment of Physics, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, Rio Grande do Sul, BrazilLand 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 CO<inline-formula><math display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> 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.https://www.mdpi.com/2076-3263/10/12/479land surface and ecosystem modelscalibrationlatent and sensitive heat fluxesnet ecosystem exchangePampa biomeEddy covariance |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guilherme Goergen Roilan Hernández Valdés Gervásio Annes Degrazia Ricardo Acosta Gotuzzo Dirceu Luis Herdies Luis Gustavo Gonçalves de Gonçalves Débora Regina Roberti |
spellingShingle |
Guilherme Goergen Roilan Hernández Valdés Gervásio Annes Degrazia Ricardo Acosta Gotuzzo Dirceu Luis Herdies Luis Gustavo Gonçalves de Gonçalves Débora Regina Roberti Energy and CO<sub>2</sub> Fluxes over Native Fields of Southern Brazil through Multi-Objective Calibration of INLAND Model Geosciences land surface and ecosystem models calibration latent and sensitive heat fluxes net ecosystem exchange Pampa biome Eddy covariance |
author_facet |
Guilherme Goergen Roilan Hernández Valdés Gervásio Annes Degrazia Ricardo Acosta Gotuzzo Dirceu Luis Herdies Luis Gustavo Gonçalves de Gonçalves Débora Regina Roberti |
author_sort |
Guilherme Goergen |
title |
Energy and CO<sub>2</sub> Fluxes over Native Fields of Southern Brazil through Multi-Objective Calibration of INLAND Model |
title_short |
Energy and CO<sub>2</sub> Fluxes over Native Fields of Southern Brazil through Multi-Objective Calibration of INLAND Model |
title_full |
Energy and CO<sub>2</sub> Fluxes over Native Fields of Southern Brazil through Multi-Objective Calibration of INLAND Model |
title_fullStr |
Energy and CO<sub>2</sub> Fluxes over Native Fields of Southern Brazil through Multi-Objective Calibration of INLAND Model |
title_full_unstemmed |
Energy and CO<sub>2</sub> Fluxes over Native Fields of Southern Brazil through Multi-Objective Calibration of INLAND Model |
title_sort |
energy and co<sub>2</sub> fluxes over native fields of southern brazil through multi-objective calibration of inland model |
publisher |
MDPI AG |
series |
Geosciences |
issn |
2076-3263 |
publishDate |
2020-11-01 |
description |
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 CO<inline-formula><math display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> 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. |
topic |
land surface and ecosystem models calibration latent and sensitive heat fluxes net ecosystem exchange Pampa biome Eddy covariance |
url |
https://www.mdpi.com/2076-3263/10/12/479 |
work_keys_str_mv |
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