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Impact of Land Surface Processes on the South Asian Monsoon Simulations Using WRF Modeling System

机译：WRF建模系统对陆地表面过程对南亚季风模拟的影响

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The Weather Research and Forecasting model has been used to examine the role of land surface processes on Indian summer monsoon simulations. Isolated experiments have been carried out with physical parameterization schemes (land surface and planetary boundary layer) and data assimilation to examine their relative roles in the representation of regional hydroclimate in model simulations. The impact of vegetation green fraction on the model simulations has been extensively studied by replacing the default United States Geological Survey (USGS) vegetation cover data with that of Indian Space Research Organisation (ISRO) data. Results indicate that differences in the treatment of surface processes in the model lead to large differences in precipitation simulation over the Indian domain. Several hydroclimate parameters from the simulations using ISRO and USGS vegetation green fractions were examined. It is seen that the role of vegetation green fraction in these experiments has been to increase latent heat flux to the atmosphere. Two sets of data assimilation experiments were also carried out for an entire year using the same set of observed data but with different land surface parameterization schemes. It is found that evenwhen using the same observed data, the differences in land surface schemes reduce the impact and contribution of observed data being assimilated into the model. The hydroclimate over the region becomes a function of the land surface scheme. This study highlights the importance of vegetation green fraction and land surface schemes in the context of the regional hydroclimate over South Asia.
机译：天气研究和预报模型已用于检验地表过程在印度夏季风模拟中的作用。已经使用物理参数化方案（陆地表面和行星边界层）和数据同化进行了独立的实验，以检验它们在模型模拟中在区域水气候表示中的相对作用。通过将默认的美国地质调查局（USGS）植被覆盖数据替换为印度空间研究组织（ISRO）数据，已广泛研究了植被绿色分数对模型模拟的影响。结果表明，在模型中处理表面过程的差异导致印度范围内降水模拟的巨大差异。使用ISRO和USGS植被绿色部分的模拟研究了几个水气候参数。可以看出，在这些实验中，植被绿色部分的作用一直是增加向大气的潜热通量。一年中还使用相同的一组观测数据但采用不同的地面参数化方案进行了两组数据同化实验。发现即使使用相同的观测数据，地表方案的差异也会减少将观测数据吸收到模型中的影响和贡献。该地区的水文气候成为陆地计划的函数。这项研究强调了在南亚区域性水气候的背景下，植被绿色分数和地表方案的重要性。

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