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首页> 外文期刊>SOLA: Scientific Online Letters on the Atmosphere >Numerical Evaluation of JULES Surface Tiling Scheme with High-Resolution Atmospheric Forcing and Land Cover Data
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Numerical Evaluation of JULES Surface Tiling Scheme with High-Resolution Atmospheric Forcing and Land Cover Data

机译：具有高分辨率大气强迫和土地覆盖数据的JULES表面平铺方案的数值评估

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摘要

Land surface heterogeneity exists at all spatial scales and has many important effects on energy, momentum and mass exchange between land and atmosphere. Land surface models (LSMs) partially consider surface subgrid heterogeneity (SSGH) effects through surface tiling methods. In this study, a series of numerical experiments were conducted to evaluate the performance of the Joint UK Land Environment Simulator (JULES) LSM's surface tiling scheme by combining atmospheric forcing data and land-cover fraction data at different horizontal resolutions. Our tests quantitatively show that the surface tiling scheme can have a significant impact on model simulated fields, but cannot reflect SSGH effects adequately. Soil is considered to be homogeneous across a single grid cell in the current surface tiling scheme, which results in soil-moisture dependent anomalies in simulated carbon flux. Our numerical results indicate that the current JULES LSM needs additional updates to consider subgrid scale heterogeneities of subsurface processes and soil-vegetation interactions.
机译：土地表面的异质性存在于所有空间尺度，并且对土地与大气之间的能量，动量和质量交换具有许多重要影响。地表模型（LSM）通过地砖方法部分考虑了地表亚网格异质性（SSGH）的影响。在这项研究中，通过结合不同水平分辨率的大气强迫数据和土地覆盖率数据，进行了一系列数值实验，以评估联合英国陆地环境模拟器（JULES）LSM的地表覆盖方案的性能。我们的测试定量显示，表面平铺方案可能会对模型模拟场产生重大影响，但不能充分反映SSGH效应。在当前的表面平铺方案中，土壤在单个网格单元上被认为是均匀的，这导致了模拟碳通量中与土壤湿度有关的异常。我们的数值结果表明，当前的JULES LSM需要进一步更新，以考虑地下过程的亚网格尺度异质性和土壤-植被相互作用。

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