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Application of an Upscaled Land Surface Process Model to Watersheds for Validation

机译:高档陆面过程模型在流域验证中的应用

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The interface between atmosphere and land surface plays an important role for both atmospheric dynamics and land surface conditions. Land surface processes such as infiltration, evapotranspiration, and sensible heat exchange significantly affect the simulation results of large-scale climate models as well as regional atmospheric models. Therefore, land surface processes should be modeled appropriately. However, land surfaces are spatially inhomogeneous at the spatial scales of vegetation canopies to watersheds or even continents. In order to consider the spatial heterogeneity of land surface properties, a stochastic upscaling method for land surface process modeling for heterogeneous landscapes was developed by the authors. In the model, the Fokker-Planck equation (FPE) as a probabilistic model for land surface processes was formulated in a one-dimensional probability domain for land surface temperature. In the present study the upscaled land surface process model was applied to watersheds in order to verify its applicability and validity.
机译:大气与陆地表面之间的界面对于大气动力学和陆地表面状况都起着重要作用。诸如渗透,蒸散和显热交换之类的地表过程极大地影响了大型气候模型和区域大气模型的模拟结果。因此,应该对地表过程进行适当建模。然而,在植被冠层到分水岭甚至大陆的空间尺度上,陆地表面在空间上是不均匀的。为了考虑土地表面特性的空间异质性,作者开发了一种随机放大方法,用于异质景观的土地表面过程建模。在该模型中,将Fokker-Planck方程(FPE)作为地表过程的概率模型,建立在地表温度的一维概率域中。在本研究中,将高级陆面过程模型应用于流域,以验证其适用性和有效性。

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