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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Sensitivity of single column model simulations of Arctic springtime clouds to different cloud cover and mixed phase cloud parameterizations - art. no. 4439
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Sensitivity of single column model simulations of Arctic springtime clouds to different cloud cover and mixed phase cloud parameterizations - art. no. 4439

机译:北极春季云的单列模型模拟对不同云量和混合相云参数化的敏感性-艺术没有。 4439

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1] The single column model of the Canadian Centre for Climate Modeling and Analysis ( CCCma) climate model is used to simulate Arctic spring cloud properties observed during the Surface Heat Budget of the Arctic Ocean ( SHEBA) experiment. The model is driven by the rawinsonde observations constrained European Center for Medium-Range Weather Forecasts (ECMWF) reanalysis data. Five cloud parameterizations, including three statistical and two explicit schemes, are compared and the sensitivity to mixed phase cloud parameterizations is studied. Using the original mixed phase cloud parameterization of the model, the statistical cloud schemes produce more cloud cover, cloud water, and precipitation than the explicit schemes and in general agree better with observations. The mixed phase cloud parameterization from ECMWF decreases the initial saturation specific humidity threshold of cloud formation. This improves the simulated cloud cover in the explicit schemes and reduces the difference between the different cloud schemes. On the other hand, because the ECMWF mixed phase cloud scheme does not consider the Bergeron-Findeisen process, less ice crystals are formed. This leads to a higher liquid water path and less precipitation than what was observed. [References: 37
机译:1]加拿大气候建模与分析中心(CCCma)气候模型的单列模型用于模拟在北冰洋地表热收支(SHEBA)实验期间观察到的北极春季云特性。该模型由rawinsonde观测值约束的欧洲中型天气预报中心(ECMWF)重新分析数据驱动。比较了五个云参数化,包括三个统计方案和两个显式方案,并研究了对混合相云参数化的敏感性。使用模型的原始混合相云参数化,统计云方案比显式方案产生更多的云量,云水和降水,并且总体上与观测结果更好地吻合。来自ECMWF的混合相云参数化降低了云形成的初始饱和比湿阈值。这改善了显式方案中的模拟云覆盖率,并减少了不同云方案之间的差异。另一方面,由于ECMWF混合相云方案未考虑Bergeron-Findeisen过程,因此形成的冰晶较少。与所观察到的相比,这导致更高的液态水路径和更少的沉淀。 [参考:37

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