Variance Based Sensitivity Analysis of FLake Lake Model for Global Land Surface Modeling. Issue 8 (27th April 2021)

• Record Type: Journal Article
• Authors: Bernus, A.; Ottlé, C.; Raoult, N.
• Is Part Of: Journal of geophysical research. Volume 126:Issue 8(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-04-27
• Subjects: climate -- FLake -- lake -- ORCHIDEE -- sensitivity analysis -- Sobol; Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1029/2019JD031928
• Languages: English
• ISSNs: 2169-897X

Abstract

Abstract: 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. Plain Language Summary: Lakes are often neglected in climate modeling because their spatial extent does not exceed 4% of the Earth land area. But 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 French IPSL climate model with the implementation of a one‐dimensional 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 model parameters. Our results show the respective roles of the depth, fetch, thermocline, sediment, and radiative (albedo and light extinction coefficient) parameters in different climate conditions and at different time scales. Some avenues for further implementation and model parameters calibration are finally given. Abstract :