Estimation of Cloud Properties in Three-dimension (3D) from Cloud Resolving Data Assimilation

从云解析数据同化估计云的三维 (3D) 属性

• 批准号: 0514399
• 负责人: Katja Friedrich
• 金额: $ 36.67万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0514399&HistoricalAwards=false
• 关键词: Estimation; Cloud; Properties; Three; dimension

This project will provide accurate estimates of space and time dependent cloud properties on the meso-scale. Four-dimensional variational (4DVAR) data assimilation, based on the Regional Atmospheric Modeling System (RAMS), will be used to assimilate high-resolution satellite radiances, satellite sounding retrievals, and DOE-ARM Southern Great Plains measurements into a cloud-resolving model. The accuracy of the space/time cloud properties will be quantified using three methods: 1) by statistical error analysis in the modeled space, 2) statistical error analysis in the observation space with respect to the observations that are assimilated, and c) verification against independent observations from the DOE-ARM archive.The broader impacts of this work will be in the progress made for the assimilation of satellite radiance measurements in operational numerical weather prediction models and the subsequent expected improvement in quantitative precipitation forecasts.

该项目将提供对中尺度云的空间和时间特性的准确估计。四维变分（4DVAR）数据同化，区域大气模拟系统（RAMS）的基础上，将被用来同化高分辨率卫星辐射，卫星探测检索，和美国能源部-ARM南部大平原测量到云解析模型。将使用三种方法量化空间/时间云属性的准确性：1）通过在建模空间中的统计误差分析，2）在观测空间中关于被同化的观测的统计误差分析，（c）对照能源部的独立观察结果进行核实-这项工作的更广泛的影响将是在业务数值天气预报模式中同化卫星辐射测量的进展，随后，定量降水预报的预期改进。