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。
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.
作者
胡皓
翁富忠
Hu Hao;Weng Fuzhong(State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081)
出处
《气象科技进展》
2021年第3期40-47,共8页
Advances in Meteorological Science and Technology
基金
科技部基础资源调查专项(2019QZKK0105)
风云卫星应用先行计划项目
中国气象科学研究院基本科研业务费项目(2020Y013)。
关键词
卫星
遥感
微波探测仪
场景自适应
satellite
remote sensing
microwave sounder
scene-dependent