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A Numerical Study of Early Summer Regional Climate and Weather over LSA-East. Part Ⅰ: Model Implementation and Verification

机译:LSA-East初夏区域气候和天气的数值研究。第一部分:模型实现与验证

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The Pennsylvania State University-NCAR Mesoscale Model (MM5) and a simplified simple biosphere (SSiB) scheme are modified and then coupled to study various regional climate and weather problems. These modifications include correcting the moisture and cloud hydrometeor fields to ensure the mass conservation; incorporating the effects of dissipative heating to ensure total energy conservation; decoupling soil and vegetation types in specifying various surface parameters; and eliminating the shortwave radiation reaching the surface at points where deep convection occurs. A 30-day integration of June 1998 over the Midwest states was used to examine the model's capability in capturing the observed wet regional climate and the passage of several mesoscale weather events. It is found that the coupled model reproduces the distribution and magnitude of monthly accumulated precipitation, the time series of area-integrated precipitation, surface pressures, and diurnal changes in surface temperatures, low-level winds and precipitation, as well as the evolution of precipitation systems across the central United States. In particular, the model reproduces well many daily weather events, including the distribution and intensity of low-level temperature and pressure perturbations and precipitation, even up to a month. The results suggest that the daily temperature, clouds, and precipitation events from the weekly to monthly scales, as well as their associated regional climate phenomena, could be reasonably simulated if the surface, boundary layer, radiation, and convective processes are realistically parameterized, and the large-scale forcing could be reasonably provided by general circulation models.
机译:宾夕法尼亚州立大学的NCAR中尺度模型(MM5)和简化的简单生物圈(SSiB)方案经过修改,然后结合起来研究了各种区域气候和天气问题。这些修改包括校正湿度和云水凝物场以确保质量守恒;考虑耗散热量的影响,以确保完全节能;在指定各种表面参数时使土壤和植被类型脱钩;并消除在深对流发生点到达表面的短波辐射。 1998年6月对中西部各州进行了30天的整合,以检验该模型在捕获观测到的潮湿区域气候和几次中尺度天气事件通过方面的能力。发现耦合模型再现了月累积降水的分布和大小,区域积分降水的时间序列,地表压力以及地表温度,低风和降水的日变化以及降水的演变美国中部的系统。特别是,该模型可以很好地再现许多日常天气事件,包括低水平温度和压力扰动及降水的分布和强度,甚至长达一个月。结果表明,如果对表面,边界层,辐射和对流过程进行了实际参数化,则可以合理地模拟从每周到每月尺度的每日温度,云层和降水事件及其相关的区域气候现象。大规模的强迫可以由一般的循环模型合理地提供。

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