大气与环境光学学报 ›› 2020, Vol. 15 ›› Issue (2): 81-89.

• 综述 •    下一篇

基于红外光谱的大气温湿度反演研究进展

赵慧洁1,米致远2,马晓航1,贾国瑞1*   

  1. 1北京航空航天大学仪器科学与光电工程学院,北京 100191;
    2北京航空航天大学青岛研究院,山东青岛 266000
  • 出版日期:2020-03-28 发布日期:2020-03-23

Progress of Retrieval of Atmospheric Temperature and Water Vapor Profiles based on Infrared Spectra

ZHAO Huijie1, MI Zhiyuan2, MA Xiaohang1, JIA Guorui1*   

  1. 1School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China;
    2 Qingdao Research Institute of Beihang University,  Qingdao 266000, China
  • Published:2020-03-28 Online:2020-03-23

摘要: 大气温湿度廓线是大气热力状态分析、大气发展变化研究、天气过程预警和数值天气预报中关键的基本气象参数。基于红外光谱的
大气温湿度反演方法研究从上世纪60年代开始发展,根据观测位置不同分为地基红外反演方法和天基红外反演方法。总结了红外光谱反
演大气温湿度方法的基本类型,介绍了地基、天基红外探测的大气温湿度廓线反演方法的发展历程,对地基-天基红外探测联合反演大
气温湿度方法进行了分析。最后对基于红外光谱的大气温湿度廓线反演技术在气象中的应用和发展趋势进行了简要的论述。

关键词: 红外光谱, 温湿度廓线, 反演, 联合反演

Abstract: Atmospheric temperature and humidity profile is the key and basic meteorological parameter in the analysis of 
atmospheric thermal state, the study of atmospheric development and changes, severe weather warning, and numerical 
weather prediction. Retrieval algorithm of atmospheric temperature and humidity based on infrared spectra has 
been developed since 1960s, and can be divided into ground-based infrared retrieval algorithm and satellite-based 
infrared retrieval algorithm according to different observation positions. Basic types of retrieval algorithms 
of atmospheric temperature and humidity based on infrared spectra are summarized. The development 
of ground-based and satellite-based infrared detection methods for atmospheric temperature and humidity profile 
retrieval is introduced. Meanwhile, the retrieval method of atmospheric states combining ground-based with 
satellite-based infrared sounder is analyzed. Finally, the applications and development trend of atmospheric 
temperature and humidity profile retrieval method based on infrared spectra are briefly discussed.

Key words: infrared spectra, temperature and humidity profiles, retrieval, combining retrieval