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首页> 外文期刊>Journal of hydrometeorology >Evaluation of 10 methods for initializing a land surface model
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Evaluation of 10 methods for initializing a land surface model

机译：评估初始化陆地模型的10种方法

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摘要

Improper initialization of numerical models can cause spurious trends in the output, inviting erroneous interpretations of the earth system processes that one wishes to study. In particular, soil moisture memory is considerable, so that accurate initialization of this variable in land surface models (LSMs) is critical. The most commonly employed method for initializing an LSM is to spin up by looping through a single year repeatedly until a predefined equilibrium is achieved. The downside to this technique, when applied to continental- to global-scale simulations, is that regional annual anomalies in the meteorological forcing accumulate as artificial anomalies in the land surface states, including soil moisture. Nine alternative approaches were tested and compared using the Mosaic LSM and 15 yr of global meteorological forcing. Results indicate that the most efficient way to initialize an LSM, if possible and given that multiple years of preceding forcing are not available, is to use climatological average states from the same model for the precise time of year of initialization. Three other approaches were also determined to be preferable to the single-year spinup method. In addition, low-resolution spinup scenarios were devised and tested, and based on the results, an effective yet computationally economical technique is proposed.
机译：数字模型的初始化不当会导致输出中的虚假趋势，邀请一个人希望学习的地球系统流程的错误解释。特别是，土壤湿气存储器相当可观，因此在陆地面模型（LSM）中精确地初始化该变量是至关重要的。用于初始化LSM的最常用方法是通过反复循环通过循环循环直到实现预定偏转的平衡。当适用于大陆 - 全球范围模拟时，这种技术的缺点是气象迫使区域年度异常作为土地表面状态的人工异常，包括土壤水分。使用MOSAIC LSM和15年的全球气象强制进行测试，并进行测试，并使用九种替代方法。结果表明，如果可能的话，初始化LSM的最有效方式，并且不可用，并且给出了多年的前期迫使，是使用相同模型中的气候平均状态，以便在初始化年份的确切时间。还确定了另外三种方法是单年旋转方法的优选。此外，设计了低分辨率的旋转场景，并基于结果，提出了一种有效且计算的经济技术。

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