Channel selection for carbon monoxide retrievals based on ultra-spectral thermal infrared data
投稿时间:2020-04-16  修订日期:2020-10-26  download
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张贝贝 中国科学院空天信息创新研究院 定量遥感信息技术重点实验室北京 100094
中国科学院大学 电子电气与通信工程学院北京 100049 
王宁 中国科学院空天信息创新研究院 定量遥感信息技术重点实验室北京 100094 100094
姚微源 中国科学院空天信息创新研究院 定量遥感信息技术重点实验室北京 100094 
钱永刚 中国科学院空天信息创新研究院 定量遥感信息技术重点实验室北京 100094 
马灵玲 中国科学院空天信息创新研究院 定量遥感信息技术重点实验室北京 100094 
李传荣 中国科学院空天信息创新研究院 定量遥感信息技术重点实验室北京 100094 
唐伶俐 中国科学院空天信息创新研究院 定量遥感信息技术重点实验室北京 100094 
刘耀开 中国科学院空天信息创新研究院 定量遥感信息技术重点实验室北京 100094 
高彩霞 中国科学院空天信息创新研究院 定量遥感信息技术重点实验室北京 100094 
Abstract:As the weak absorption intensity and high interference signals in the thermal infrared band of carbon monoxide (CO), it is difficult to retrieve CO profiles with promising accuracy from thermal infrared data. The development and application of ultra-spectral infrared detector make it possible to improve the retrieval accuracy of CO profile. However, the ultra-spectral resolution and the huge channel numbers of the data not only enhance the abundant atmospheric retrieval information, but also induce lots of redundant information. As such, it is necessary to do the channel selection to ensure the accuracy and efficiency of retrieval. In this paper, a channel selection method considering both channel sensitivity and weighting function characteristics is proposed to CO profile retrieval of ultra-spectral infrared data. First, by analyzing the gas sensitivity of the channels in CO absorption band, the channels severely affected by other gases are excluded and initial channel group is obtained. Then, the weighting function characteristics of the initial channel group are studied. The channels located at the bottom and top of the peaks at the CO absorption spectrum, suggesting abundant gas retrieval information about different atmospheric layer, are selected as the final channel selection results. The channel selection method is applied for the winter and summer air masses in Alxa desert area, Beijing-Tianjin area, Yangtze River Delta, and Pearl River Delta. By comparing with the Optimal Sensitivity Profile method (OSP), the channels selected by the proposed method can cover a wider spectral range and have more CO absorption characteristics. Additionally, the application of the proposed method can improve the retrieval accuracy of CO profiles in all the regions and seasons studied in this paper. The best improvement effect was observed in the Alxa desert area in the winter, whose root mean square error (RMSE) was reduced from 3.23×10-8 g/g to 3.07×10-8 g/g, with an average increase in accuracy of 10.56%.
keywords:atmospheric science, Channel selection, CO profile retrieval, ultra-spectral thermal infrared data, sensitivity, weighting function characteristics
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Copyright:《Journal of Infrared And Millimeter Waves》