融合CLOUDSAT和MTSAT数据反演中国地表太阳辐射

项目名称： 融合CLOUDSAT和MTSAT数据反演中国地表太阳辐射

项目编号： No.41301359

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 天文学、地球科学

项目作者： 唐文君

作者单位： 中国科学院青藏高原研究所

项目金额： 25万元

中文摘要： 地表太阳辐射是地表过程模型的重要输入量，但是我国地面辐射观测站点稀少且分布不均匀，很难满足地表过程模型的需求。现有全球辐射产品空间分辨率较低（大于100公里），且在中国呈现东部高估、西部低估的特点。因此，本项目拟融合CLOUDSAT云属性产品（有效粒子半径和路径含水量）和MTSAT信息反演地表太阳辐射。拟解决的关键问题是：如何基于静止卫星提取云的属性信息以及如何在宽波段辐射传输方程中显式表达云对辐射的影响。研究内容包括：（1）发展以云属性、气溶胶、水汽和臭氧等信息为输入的宽波段辐射模型，形成高效快速的地表太阳辐射反演技术；（2）融合CLOUDSAT和MTSAT资料，发展适合MTSAT的云检测算法及MTSAT云属性信息（有效粒子半径和路径含水量）的估算方法；（3）利用地表辐射观测资料和同类遥感辐射产品交叉验证该算法的精度。本研究的成果将为建立高时空分辨率的辐射驱动数据奠定基础。

中文关键词： 短波辐射；遥感反演；云检测；云有效粒子半径；云路径含水量

英文摘要： Surface solar radiation is the important input for the surface-process models. However, the radiaiton stations in China are sparse and unevenly distributed, which is difficult to meet the needs of the surface-process models. Moreover, the spatial resolution of the global surface solar radiation products from satellite are too coarse (more than 100 km), and their values are generally overestimated in Eastern China, and underestimated in Western China. Therefore, this project aims to merge CLOUDSAT cloud properties products(effective particle radius and cloud liquid/ice water path) and MTSAT information to retrieve surface solar radiation. A key scientific issue to be answered is: how to extract the cloud properties information based on geostationary satellite and how to explicitly express the effect of cloud on radiation in broadband radiative transfer model. To achieve the goal, we are going to study on (1) develop broadband radiative transfer model based on the cloud properties, aerosol, water vapor, ozone and so on, and form physical inversion technique to quickly estimate surface solar radiation, (2) merge CLOUDSAT and MTSAT data, and develop cloud detection algorithm appropriate for MTSAT and method of cloud properties information(effective particle radius and cloud ice/water path) estimate based on MTSAT, a

英文关键词： Shortwave radiation；Remote sensing retrieval；Cloud detection；Cloud effective particle radius；Cloud water path