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Behavior of predicted convective clouds and precipitation in the high?¢????resolution Unified Model over the Indian summer monsoon region

机译:印度夏季风地区高分辨率高分辨率统一模型中对流云和降水的预测行为

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National Centre for Medium Range Weather Forecasting high?¢????resolution regional convective?¢????scale Unified Model with latest tropical science settings is used to evaluate vertical structure of cloud and precipitation over two prominent monsoon regions: Western Ghats (WG) and Monsoon Core Zone (MCZ). Model radar reflectivity generated using Cloud Feedback Model Intercomparison Project Observation Simulator Package along with CloudSat profiling radar reflectivity is sampled for an active synoptic situation based on a new method using Budyko's index of turbulence (BT). Regime classification based on BT?¢????precipitation relationship is more predominant during the active monsoon period when convective?¢????scale model's resolution increases from 4????km to 1.5????km. Model predicted precipitation and vertical distribution of hydrometeors are found to be generally in agreement with Global Precipitation Measurement products and BT?¢????based CloudSat observation, respectively. Frequency of occurrence of radar reflectivity from model implies that the low?¢????level clouds below freezing level is underestimated compared to the observations over both regions. In addition, high?¢????level clouds in the model predictions are much lesser over WG than MCZ.
机译:美国国家中型天气预报中心采用最新热带科学设置的高分辨率高分辨率区域对流尺度统一模型,用于评估两个重要的季风区域的云和降水的垂直结构:西高止山脉( WG)和季风核心区(MCZ)。使用Budyko湍流指数(BT)的新方法,使用云反馈模型比对项目观测模拟器软件包以及CloudSat剖析雷达反射率生成的模型雷达反射率,用于在活动天气情况下进行采样。当活动对流尺度模型的分辨率从4km增大到1.5km时,在活跃的季风期,基于BT降水关系的政体分类更为主要。发现模型预测的水凝物的降水和垂直分布通常分别与全球降水测量产品和基于BT的CloudSat观测结果一致。来自模型的雷达反射率出现频率暗示,与两个地区的观测值相比,低于冰点以下的低层云被低估了。另外,模型预测中的高层云在WG上要比MCZ小得多。

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