卫星微波大气遥感温湿廓线及应用进展
Progress in Satellite Microwave Remote Sensing of Atmospheric Temperature and Moisture Profiles and Their Applications
中文摘要：
简要回顾了星载微波探测仪对大气温湿廓线遥感应用技术进展，对统计回归反演方法、一维变分反演方法以及最新的场景自适应反演方法的发展进行了介绍。最后通过介绍新型微波探测仪搭载平台，对可能的新反演产品和技术进行展望。
中文关键词：
卫星，遥感，微波探测仪，场景自适应
KeyWords：
satellite, remote sensing, microwave sounder, scene-dependent
Abstract：
In this paper, we reviewed the techniques of using satellite-borne microwave sounders for remote sensing of atmospheric temperature and humidity profiles. And introduced three primary algorithms including statistical regression, one-dimensional variation method and the latest scene-dependent methods. In the end, the newly developed microwave sounder platform, as well as the prospect of possible new retrieval technologies and products, were discussed.