Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2017, Vol. 53 ›› Issue (4): 783-792.DOI: 10.13209/j.0479-8023.2016.126

• Orginal Article • Previous Articles    

Overview of Retrieval Algorithm of Cloud-Top Height Based on Satellite Infrared Remote Sensing

Hongjie FAN1,2, Yipeng HUANG1, Wanbiao LI1()   

  1. 1. Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871
    2. 63892 Troop,Luoyang 471003
  • Received:2016-03-06 Revised:2016-06-27 Online:2017-01-22 Published:2017-07-20

基于卫星红外遥感的云顶高度反演算法综述

樊宏杰1,2, 黄亦鹏1, 李万彪1()   

  1. 1. 北京大学物理学院大气与海洋科学系, 北京 100871
    2. 63892部队, 洛阳 471003
  • 基金资助:
    国家科技支撑计划(2013CB430104)和中国科学院战略重点研究项目(XDA05040201)资助

Abstract:

According to recent years cloud top-height inversion algorithms using satellite visible and infrared remote sensing data, domestic and foreign algorithm research progress and problems are summarized. Through the analysis of large number of related literatures, the inversion algorithms of the infrared window methods and CO2 absorption technique are mainly introduced. On the basis of these algorithms, the current business algorithms in countries and regions are expressed. Then the advantages and disadvantages of these methods in application are reviewed, and the cloud top-height inversion solution for regions in China is present. In the future, the method of cloud top-height lookup tables based on infrared split-window is prospective. In application and research, lookup tables based on brightness temperature difference and 11 μm channel brightness temperature are constructed using split-window data of stationary satellite and cloud profile radar data of polar orbit satellite, and cloud top-height can be acquired by checking lookup tables by split-window brightness temperature difference and 11 μm channel brightness temperature in application.

Key words: satellite infrared remote sensing, cloud-top height, retrieval algorithm, infrared split-window

摘要:

针对近年来利用卫星可见和红外波段遥感数据反演云顶高度的算法, 对国内外研究进展和存在的问题进行综述。首先, 主要介绍以红外窗区和CO2吸收技术为主的红外波段反演算法; 在此基础上, 进一步介绍目前相关国家和地区的业务算法, 对这些方法在实际应用中的优缺点予以评述, 提出针对中国地区云顶高度反演的解决方案。将来, 有发展前途的方法为基于红外分裂窗的查算表法, 利用静止卫星的分裂窗数据及极轨卫星云廓线雷达数据, 建立基于分裂窗亮温差和 11 μm通道亮温的云顶高度查算表, 根据分裂窗亮温差和11 μm亮温查表得到云顶高度。

关键词: 卫星红外遥感, 云顶高度, 反演算法, 红外分裂窗

CLC Number: