Collaborative Research: Cloud Macrophysical Parameterization and Its Application to Aerosol Indirect Effects

合作研究：云宏观物理参数化及其在气溶胶间接效应中的应用

• 批准号: 0968609
• 负责人: Robert Wood
• 金额: $ 30.92万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0968609&HistoricalAwards=false
• 关键词: Collaborative; Research; Cloud; Macrophysical; Parameterization

This grant will support a collaborative research effort at three universities and three government laboratories to develop a method to represent liquid water clouds in the atmospheric boundary layer (i.e. at levels within about 2km of the surface). The method, which has the acronym CLUBB (clouds unified by binormals), will address the disparity between the size of a climate model grid box (typically 100km) and the much smaller sizes of the updrafts and downdrafts which occur in boundary layer clouds (perhaps 100m). The research will use a variety of observations in concert with simulations from more detailed models (including large-eddy simulation models) to construct joint probability density functions (PDFs) for vertical velocity, temperature, moisture, and hydrometeor species. The PDFs will then be used to simulate the formation of clouds (particularly boundary layer cumulus and stratocumulus clouds) and the extent to which cloud reflectivity and other properties are determined by aerosols. CLUBB will be implemented in two climate models, one at the National Center for Atmospheric Research and one at the NOAA Geophysical Fluid Dynamics Laboratory. The research was proposed in responsee to a solicitation for Climate Process and Modeling Teams (CPTs), which are intended to perform work yielding improvements to climate models over a three-year time period.The results of this CPT project are expected to have broad scientific and practical benefits, since climate models are a basic research tool in climate-related research. Furthermore, climate models are increasingly in demand as tools for decision support by policy makers considering strategies to address climate variability and climate change. Thus, improvements in climate models offer the prospect of better guidance for policy decisions. In addition, the grant will support the education of three graduate students, and for the employment and mentoring of three postdoctoral researchers.

这笔赠款将支持三所大学和三个政府实验室的合作研究工作，以开发一种方法来表示大气边界层中的液态水云（即在表面约2公里的水平）。 该方法的首字母缩写为CLUBB（由副正态统一的云），将解决气候模型网格框的大小（通常为100公里）与边界层云中发生的上升气流和下降气流的小得多的大小（可能为100米）之间的差异。 该研究将使用各种观测数据，并结合更详细的模型（包括大涡模拟模型）的模拟，为垂直速度、温度、湿度和水凝物种类构建联合概率密度函数（PDF）。 然后，PDF将用于模拟云的形成（特别是边界层积云和层积云）以及云的反射率和其他特性受气溶胶影响的程度。 CLUBB将在两个气候模型中实施，一个在国家大气研究中心，另一个在NOAA地球物理流体动力学实验室。 气候过程和模拟小组（CPTs）的任务是在3年时间内对气候模型进行改进。气候模型是气候相关研究的基础研究工具，因此，CPTs项目的成果有望产生广泛的科学和实践效益。 此外，决策者在考虑应对气候多变性和气候变化的战略时，越来越需要气候模型作为决策支持工具。 因此，气候模型的改进为政策决定提供了更好的指导的前景。 此外，赠款将支持三名研究生的教育，并为三名博士后研究人员的就业和指导。