Parametrizing Convection Using Satellite-Retrieved Precipitation Profiles

研究的主要重点是开发一种经验性积云参数化方案，利用卫星新时代的高分辨率时空降水和水凝物分布图。这项工作包括一系列的研究步骤。微波（每三小时）和红外辐射（三十分钟）数据集将用于跟踪对流系统。将使用分步平流/对流程序来跟踪这些系统。研究的另一个方面是从生成的30分钟数据集构建加热和干燥的垂直剖面。其次是制定对流可用位能和加热/干燥的垂直廓线之间的关系，形成新的积云参数化方案的基础。将使用最近的一些现场实验，这些实验为加热/干燥的模型验证提供了机会（即，Q1，Q2字段）和优化的整体方案。智力优势：PI将开发：（1）一个高分辨率的数据库，并建立用于积云参数化方案的视热源和水汽汇的垂直廓线，以及（2）一个用于大气环流模式的经验积云对流参数化方案。研究结果将有助于减小积云参数化方案的系统误差，提高降水的中期和季节预报水平，从而更好地了解干/湿期和洪水/干旱。

The main focus of the research is to develop an empirical cumulus parameterization scheme that exploits high-resolution, in space and time, precipitation and hydrometeor profiles from a new era of satellites. The work involves a sequence of research steps. Microwave (three hourly) and infrared radiance (thirty minutes) data sets will be used to track convective systems. A split-step advection/convection procedure will be used to track these systems. Another aspect of the research is the construction of vertical profiles of heating and drying from the generated thirty-minute data sets. This is followed by the formulation of relationships among convective available potential energy and the vertical profiles of heating/drying, forming the basis for the new cumulus parameterization scheme. Some of the recent field experiments will be used which provide an opportunity for the model validation of heating/drying (i.e., Q1, Q2 fields) and for the optimization of the overall scheme. Intellectual Merit: The PIs will develop: (1) a high-resolution data base and construct vertical profiles of apparent heat source and moisture sink for use in cumulus parameterization schemes, and (2) an empirical cumulus convection parameterization scheme for use in general circulation models.Broader Impacts: The research results will help to minimize the systematic errors in cumulus parameterization schemes and improve medium-range and seasonal forecasts of precipitation, leading to a better understanding of dry/wet spells and floods/droughts.