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Sensitivity of Latent Heat Fluxes to Initial Values and Parameters of a Land-Surface Model

机译:潜热通量对陆面模型初始值和参数的敏感性

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摘要

A tangent linear version of the complex soil-vegetation-atmosphere transfer model Community Land Model has been developed and its ability to reproduce relevant sensitivities of the modeled soil moisture and latent heat flux (LE) evolution to a numberof different parameters on a short time scale (3 d) was analyzed. To this end, a series of idealized experiments for different soil moisture states and three different soil types was conducted. We found that the tangent linear model performs well for a large range of conditions. Situations in which the linear approximation potentially fails were connected with the occurrence of saturation and with the highly nonlinear parameterization of water availability to plants. The sensitivity of LE with respect to the model's initial soil moisture state was calculated and compared with the LE sensitivity to soil texture, leaf area index (LAI), and vegetation roughness length. These sensitivities were found to be highly variable with soil type and soil moisture.Our results confirm that soil texture and LAI are key parameters that have a dominant influence on modeled LE under specific environmental conditions. As a preparatory study to soil data assimilation developments, the results also serve to quantify modeluncertainties due to limited knowledge of forcing processes and model parameters.
机译:已经开发了复杂的土壤-植被-大气转移模型“社区土地模型”的切线线性版本,并且具有在短时间内将建模的土壤水分和潜热通量(LE)演变为许多不同参数的相关敏感性的能力。 (3 d)被分析。为此,针对不同的土壤水分状态和三种不同的土壤类型进行了一系列理想化实验。我们发现切线线性模型在很大范围的条件下表现良好。线性逼近可能失败的情况与饱和的发生以及植物对水的高度非线性参数化有关。计算了LE对模型初始土壤水分状态的敏感性,并将其与LE对土壤质地,叶面积指数(LAI)和植被粗糙度长度的敏感性进行了比较。发现这些敏感性随土壤类型和土壤湿度而变化很大。我们的结果证实,土壤质地和LAI是在特定环境条件下对模拟LE产生主要影响的关键参数。作为土壤数据同化发展的准备性研究,由于对强迫过程和模型参数的了解有限,结果还有助于量化模型不确定性。

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