项目名称: 静止卫星高级成像仪红外辐射资料的直接同化研究
项目编号: No.41505086
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 天文学、地球科学
项目作者: 诸葛小勇
作者单位: 南京大学
项目金额: 21万元
中文摘要: 静止气象卫星是改善数值天气预报效果的一种重要而有效的观测资料源。当前,各静止卫星已经或即将搭载具有高精度和高分辨率特征的高级成像仪,但静止卫星高级成像仪辐射资料同化的研究至今还很少。本项目以搭载在日本新一代静止气象卫星Himawari-8上的高级Himawari成像仪(AHI)为例,开展东亚静止卫星高级成像仪辐射资料直接同化研究。项目将基于WRF和WRFDA模式提出适合高级成像仪辐射资料的三维变分(3D-VAR)循环同化和四维变分(4D-VAR)同化方案。本项目预计能揭示高级成像仪辐射资料同化对区域降水预报的影响过程,并通过从资料预处理到实验方案到结果分析一整套流程的完整实施,为业务单位提供理论和技术参考,促进静止卫星高级成像仪辐射资料直接同化的业务化。本项目提出的质量评估和定量应用方法适用于搭载在中国下一代静止气象卫星FY-4A上的高级对地静止辐射成像仪(AGRI)。
中文关键词: 静止卫星高级成像仪;变分同化;红外辐射;降水预报
英文摘要: Geostationary meteorological satellite observations are important and indispensable for atmospheric analysis and numerical weather prediction. A recent development trend for geostationary instruments is the advanced imager which is with high resolution and of high quality. But unfortunately, the assimilations of geostationary advanced imager (GAI) infrared radiances are rarely studied. Taking the Advanced Himawari Imager (AHI) onboard the new-generation Japanese geostationary satellite Himawari-8 as an example, this study investigates the direct assimilation of infrared radiances of East Asian GAIs. The three-dimensional variational (3D-VAR) cycle assimilation and Four-dimensional variational (4D-VAR) assimilation schemes mostly suitable for GAI infrared radiances will be proposed based on the Weather Research and Forecasting (WRF) and WRF Data Assimilation (WRFDA) models. It’s expected that the influence process of assimilation of GAI infrared radiances on the precipitation forecasts will be comprehensively revealed. The execution of pre-processing, experiment design and result analysis will provide a theoretical and technical reference for operating departments and promote the operational assimilation of GAI infrared radiances. Additionally, the developed methodologies of quality evaluations and quantitative applications are also applicable for the Advanced Geostationary Radiation Imager (AGRI) onboard the next-generation Chinese geostationary satellite FY-4A.
英文关键词: geostationary advanced imager;variational assimilation;infrared radiances;precipitation forecasts