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首页> 外文期刊>Journal of hydrometeorology >Parameter Sensitivity in LSMs: An Analysis Using Stochastic Soil Moisture Models and ELDAS Soil Parameters
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Parameter Sensitivity in LSMs: An Analysis Using Stochastic Soil Moisture Models and ELDAS Soil Parameters

机译：LSMs中的参数敏感性：基于随机土壤水分模型和ELDAS土壤参数的分析

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摘要

Integration of simulated and observed states through data assimilation as well as model evaluation requires a realistic representation of soil moisture in land surface models (LSMs). However, soil moisture in LSMs is sensitive to a range of uncertain input parameters, and intermodel differences in parameter values are often large. Here, the effect of soil parameters on soil moisture and evapotranspiration are investigated by using parameters from three different LSMs participating in the European Land Data Assimilation System(ELDAS) project. To prevent compensating effects from other than soil parameters, the effects are evaluated within a common framework of parsimonious stochastic soil moisture models. First, soil parameters are shown to affect soil moisture more strongly than the average evapotranspiration. In arid climates, the effect of soil parameters is on the variance rather than the mean, and the intermodel flux differences are smallest. Soil parameters from the ELDAS LSMs differ strongly, most notably in the available moisture content between the wilting point and the critical moisture content, which differ by a factor of 3. The ELDAS parameters can lead to differences in mean volumetric soil moisture as high as 0.10 and an average evapotranspiration of 10%-20% for the investigated parameter range. The parsimonious framework presented here can be used to investigate first-order parameter sensitivities under a range of climate conditions without using full LSM simulations. The results are consistent with many other studies using different LSMs under a more limited range of possible forcing conditions.
机译：通过数据同化以及模型评估对模拟状态和观察状态进行集成，需要在地表模型（LSMs）中真实地表示土壤水分。但是，LSM中的土壤湿度对不确定的输入参数范围敏感，并且参数值之间的模型间差异通常很大。在此，通过使用参与欧洲土地数据同化系统（ELDAS）项目的三个不同LSM的参数，研究了土壤参数对土壤水分和蒸散的影响。为了防止除土壤参数以外的其他补偿效应，应在简约的随机土壤水分模型的通用框架内评估效应。首先，土壤参数显示出比平均蒸散量对土壤水分的影响更大。在干旱气候中，土壤参数的影响是方差而不是均值，并且模型间通量差异最小。 ELDAS LSM的土壤参数差异很大，最显着的是在枯萎点和临界水分之间的可用水分含量相差3倍。ELDAS参数可能导致土壤平均体积水分差异高达0.10对于所研究的参数范围，平均蒸散量为10％-20％。此处介绍的简约框架可用于研究一系列气候条件下的一阶参数敏感性，而无需使用完整的LSM模拟。该结果与其他许多在不同的强迫条件下使用不同LSM的研究一致。

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