Vidale, 2011: Towards an improved and more flexible representation of water stress in coupled photosynthesisstomatal conductance models. Komik air gear bahasa indoĬ., 2002: The BallBerryLeuning and TardieuDavies stomatal models: Synthesis and extension within a spatially aggregated picture of guard cell function. Morin, 2016: Impacts of snow and organic soils parameterization on northern Eurasian soil temperature profiles simulated by the ISBA land surface model.Ĭryosphere, 10, 853 877. Faroux, 2013: Reconciling soil thermal and hydrological lower boundary conditions in land surface models. WR014i004p00601 ) false Search Google Scholar Export Citation.Ĭrossref Dai, Y., and Coauthors, 2003: The Common Land Model.īAMS-84-8-1013 ) false Search Google Scholar Export Citation. Hornberger, 1978: Empirical equations for some soil hydraulic properties. Dedieu, 2009: Carbon balance of a three crop succession over two cropland sites in south west France. Multilayer soil diffusion scheme 1) Governing equations 2) Root-density profile 3) Deep drainage.Ĭeschia, and G. What are the benefits and the challenges in using DIF versus FR for large-scale applications 1) Low sensitivity to spatiotemporal uncertainties in the soil parameters 2) Better representation of physical processes 3) Challenges for the spatial integration of LSMs 7.įorcerestore model with three reservoirs 1) Governing equations 2) Drainage b. How does the root water uptake parameterization influence the simulation of water stress and its impacts on ET c. What are the impacts of using DIF versus FR on ET and drainage simulations over a 14-yr Mediterranean crop succession 1) Representation of the dynamics of the water balance components over the crop succession 2) Impact on simulated ET performances 3) Impact on simulated drainage b. Propagation of soil parameter uncertainties on ET predictions 6.ĭiscussion a. Sensitivity analysis to the root profile parameterization 1) Sensitivity to the root extinction coefficient 2) Sensitivity to the proportion of homogeneous root distribution 3) Optimization of Re and RL c.
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