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Cloud-Resolving Model Simulations over the ARM SGP

机译:ARM SGP上的云解析模型仿真

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This study aims to combine the cloud-resolving model (CRM) simulations with the Department of Energy's Atmospheric Radiation Measurement Program (ARM) observations to provide long-term comprehensive and physically consistent data that facilitate quantifying the effects of subgrid cloud-radiation interactions and ultimately to develop physically based parameterization of these interactions in general circulation models. The CRM is applied here to simulate the midlatitude cloud systems observed at the ARM southern Great Plains (SGP) site during the 1997 intensive observation period. As in the Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA COARE), the CRM-simulated ensemble mean quantities such as cloud liquid water, cloud fraction, precipitation, and radiative fluxes are generally in line with the surface measurements, satellite, and radar retrievals. The CRM differences from the ARM estimates, when averaged over the entire period, are less than 5 W m~(-2) in both longwave and shortwave radiative fluxes at the top of the atmosphere and surface. Because of the different large-scale forcing and surface heat fluxes in ARM and TOGA COARE, the CRM produces different cloud distributions over the midlatitude continent and tropical ocean. However, diagnostic analyses show that the subgrid cloud variability has similar impact on the domain-averaged radiative fluxes and heating rates in ARM as in TOGA COARE.
机译:这项研究旨在将云解析模型(CRM)模拟与能源部的大气辐射测量计划(ARM)观测结果相结合,以提供长期的,物理上一致的数据,从而有助于量化亚网格云辐射相互作用的影响,并最终量化在一般循环模型中开发这些相互作用的基于物理的参数化。 CRM在此用于模拟1997年密集观测期在ARM南部大平原(SGP)站点观测到的中纬度云系统。与热带海洋全球大气耦合海洋-大气响应实验(TOGA COARE)中一样,CRM模拟的集合平均量(如云液态水,云量,降水和辐射通量)通常与地表测量,卫星,和雷达检索。与ARM估算的CRM差异在整个周期内取平均值时,大气和地面顶部的长波和短波辐射通量均小于5 W m〜(-2)。由于ARM和TOGA COARE中不同的大规模强迫和表面热通量,CRM在中纬度大陆和热带海洋上产生不同的云分布。但是,诊断分析表明,与TOGA COARE中一样,亚网格云的可变性对ARM中域平均辐射通量和加热速率具有相似的影响。

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