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DOI10.1029/2019JD031928
Variance Based Sensitivity Analysis of FLake Lake Model for Global Land Surface Modeling
Bernus A.; Ottlé C.; Raoult N.
发表日期2021
ISSN2169897X
卷号126期号:8
英文摘要Given the ever increasing spatial resolution of climate models and the significant role of lakes on the regional climate, it becomes important to represent water bodies in climate models. Such developments have started in the IPSL (Institut Pierre Simon Laplace) climate model and its land surface component, ORganizing Carbon and Hydrology In Dynamic Ecosystems (ORCHIDEE), with the Freshwater Lake model, FLake. To answer the questions raised by these new developments, such as the lake differentiation and related model parameters, we analyze spatial distributions of lake characteristics in the whole world to perform a global sensitivity analysis of the FLake parameters. As a result, three different climates and four lake depth configurations were selected as test cases. The Sobol method as sensitivity analysis based on variance decomposition was chosen to rank parameters impact on the model output, that is, lake surface water temperature, latent and sensible heat fluxes. We focus on the 11 parameters of the FLake model, which are the lake depth, the albedo and light extinction coefficient of water, snow, and ice respectively, the fetch, and the relaxation coefficient of the thermocline shape factor. The results show different sensitivity features according to the lake type and climate. The dominant role and time varying contribution of the lake depth, radiative parameters (albedo, light extinction coefficient) and thermocline relaxation coefficient linked to the atmospheric conditions, were clearly highlighted. These findings will lead us to distinguish between different lake categories in each grid cell of ORCHIDEE in the future implementation. © 2021. The Authors.
英文关键词climate; FLake; lake; ORCHIDEE; sensitivity analysis; Sobol
语种英语
来源期刊Journal of Geophysical Research: Atmospheres
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/185283
作者单位Laboratoire des Sciences du Climat et de l′Environnement, IPSL, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
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Bernus A.,Ottlé C.,Raoult N.. Variance Based Sensitivity Analysis of FLake Lake Model for Global Land Surface Modeling[J],2021,126(8).
APA Bernus A.,Ottlé C.,&Raoult N..(2021).Variance Based Sensitivity Analysis of FLake Lake Model for Global Land Surface Modeling.Journal of Geophysical Research: Atmospheres,126(8).
MLA Bernus A.,et al."Variance Based Sensitivity Analysis of FLake Lake Model for Global Land Surface Modeling".Journal of Geophysical Research: Atmospheres 126.8(2021).
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