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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/3D53S95
Repositóriodpi.inpe.br/plutao/2012/11.28.17.56   (acesso restrito)
Última Atualização2013:12.06.18.15.19 (UTC) administrator
Repositório de Metadadosdpi.inpe.br/plutao/2012/11.28.17.56.10
Última Atualização dos Metadados2021:01.02.03.52.42 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1002/hyp.9362
ISSN0885-6087
Rótulolattes: 6072354470541631 4 RosolemGupShuGonZen:2012:ToCoAp
Chave de CitaçãoRosolemGupShuGonZen:2013:ToCoAp
TítuloTowards a comprehensive approach to parameter estimation in land surface parameterization schemes
Ano2013
Data de Acesso30 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2853 KiB
2. Contextualização
Autor1 Rosolem, Rafael
2 Gupta, Hoshin V.
3 Shuttleworth, W. James
4 Gonçalves, Luis Gustavo Gonçalves de
5 Zeng, Xubin
Grupo1
2
3
4 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação1 University of Arizona
2 University of Arizona
3 University of Arizona
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 University of Arizona
Endereço de e-Mail do Autor1
2
3
4 gustavo.goncalves@cptec.inpe.br
Endereço de e-Mailgustavo.goncalves@cptec.inpe.br
RevistaHydrological Processes
Volume27
Páginas2075–2097
Nota SecundáriaA1 A1 A1 A2 A2 B1 B1 B2
Histórico (UTC)2012-11-28 23:06:33 :: lattes -> administrator :: 2012
2012-11-30 22:09:39 :: administrator -> marciana :: 2012
2013-02-06 15:12:01 :: marciana -> administrator :: 2012
2013-12-06 18:15:20 :: administrator :: 2012 -> 2013
2021-01-02 03:52:42 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveparameter estimation
model diagnostics
mean squared error decomposition
land surface modelling
simple biosphere model
Amazon biomes
ResumoIn climate models, the landatmosphere interactions are described numerically by land surface parameterization (LSP) schemes. The continuing improvement in realism in these schemes comes at the expense of the need to specify a large number of parameters that are either directly measured or estimated. Also, an emerging problem is whether the relationships used in LSPs are universal and globally applicable. One plausible approach to evaluate this is to first minimize uncertainty in model parameters by calibration. In this paper, we conduct a comprehensive analysis of some model diagnostics using a slightly modified version of the Simple Biosphere 3 model for a variety of biomes located mainly in the Amazon. First, the degree of influence of each individual parameter in simulating surface fluxes is identified. Next, we estimate parameters using a multi-operator genetic algorithm applied in a multi-objective context and evaluate simulations of energy and carbon fluxes against observations. Compared with the default parameter sets, these parameter estimates improve the partitioning of energy fluxes in forest and cropland sites and provide better simulations of daytime increases in assimilation of net carbon during the dry season at forest sites. Finally, a detailed assessment of the parameter estimation problem was performed by accounting for the decomposition of the mean squared error to the total model uncertainty. Analysis of the total prediction uncertainty reveals that the parameter adjustments significantly improve reproduction of the mean and variability of the flux time series at all sites and generally remove seasonality of the errors but do not improve dynamical properties. Our results demonstrate that error decomposition provides a meaningful and intuitive way to understand differences in model performance. To make further advancements in the knowledge of these models, we encourage the LSP community to adopt similar approaches in the future.
ÁreaMET
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvohyp9362.pdf
Grupo de Usuárioslattes
marciana
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
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