A channel selection method for hyperspectral atmospheric infrared sounders based on layering

被引:25
|
作者
Chang, Shujie [1 ,2 ,3 ]
Sheng, Zheng [1 ,2 ]
Du, Huadong [1 ,2 ]
Ge, Wei [1 ,2 ]
Zhang, Wei [1 ,2 ]
机构
[1] Natl Univ Def Technol, Coll Meteorol & Oceanog, Nanjing, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Peoples R China
[3] Guangdong Ocean Univ, South China Sea Inst Marine Meteorol, Zhanjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
INFORMATION-CONTENT; TEMPERATURE; RETRIEVAL; RADIANCES;
D O I
10.5194/amt-13-629-2020
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study introduces an effective channel selection method for hyperspectral infrared sounders. The method is illustrated for the Atmospheric InfraRed Sounder (AIRS) instrument. The results are as follows. (1) Using the improved channel selection (ICS), the atmospheric retrievable index is more stable, with the value reaching 0.54. The coverage of the weighting functions is more evenly distributed over height with this method. (2) Statistical inversion comparison experiments show that the accuracy of the retrieval temperature, using the improved channel selection method in this paper, is consistent with that of 1D-Var channel selection. In the stratosphere and mesosphere especially, from 10 to 0.02 hPa, the accuracy of the retrieval temperature of our improved channel selection method is improved by about 1 K. The accuracy of the retrieval temperature of ICS is also improved at lower heights. (3) Statistical inversion comparison experiments for four different regions illustrate latitudinal and seasonal variations and better performance of ICS compared to the numerical weather prediction (NWP) channel selection (NCS) and primary channel selection (PCS) methods. The ICS method shows potential for future applications.
引用
收藏
页码:629 / 644
页数:16
相关论文
共 50 条
  • [41] Estimation of Atmospheric Profiles From Hyperspectral Infrared IASI Sensor
    Wu, Hua
    Ni, Li
    Wang, Ning
    Qian, Yonggang
    Tang, Bo-Hui
    Li, Zhao-Liang
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2013, 6 (03) : 1485 - 1494
  • [42] Fast Atmospheric Correction Method for Hyperspectral Data
    Katkovsky, Leonid V.
    Martinov, Anton O.
    Siliuk, Volha A.
    Ivanov, Dimitry A.
    Kokhanovsky, Alexander A.
    REMOTE SENSING, 2018, 10 (11)
  • [43] Dynamic programming-based band selection method for hyperspectral unmixing
    Yang, Meiming
    Wang, Xiaofei
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2023, 44 (04) : 1238 - 1253
  • [44] Technology development in support of hyperspectral infrared atmospheric sounding in a CubeSat
    Pagano, Thomas S.
    Abesamis, Carlo
    Andrade, Andres
    Aumann, Hartmut
    Gunapala, Sarath
    Heneghan, Cate
    Jarnot, Robert
    Johnson, Dean
    Lamborn, Andy
    Maruyama, Yuki
    Rafol, Sir
    Raouf, Nasrat
    Rider, David
    Ting, Dave
    Wilson, Dan
    Yee, Karl
    Cole, Jerold
    Good, Bill
    Kampe, Tom
    Soto, Juancarlos
    Adams, Arn
    Buckley, Matt
    Graham, Richard
    Nicol, Fred
    Vengel, Tony
    Moore, John
    Coleman, Thomas
    Schneider, Steve
    Esser, Chris
    Inlow, Scott
    Sanders, Devon
    Hansen, Karl
    Zeigler, Matt
    Dumont, Charles
    Walter, Rebecca
    Piacentine, Joe
    CUBESATS AND NANOSATS FOR REMOTE SENSING II, 2018, 10769
  • [45] A New Atmospheric Correction Method Based on ANN in Hyperspectral Remote Sensing Image
    Liu, Anwei
    Liu, Liangyun
    Liu, Xinjie
    2016 4RTH INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA), 2016,
  • [46] Channel Capacity Approach to Hyperspectral Band Subset Selection
    Chang, Chein-I
    Lee, Li-Chien
    Xue, Bai
    Song, Meiping
    Chen, Jian
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (10) : 4630 - 4644
  • [47] RECONSTRUCTION OF HYPERSPECTRAL IMAGE BASED ON REGRESSION ANALYSIS Optimum Regression Model and Channel Selection
    Sakatoku, Yuji
    Toque, Jay Arre
    Ide-Ektessabi, Ari
    IMAGAPP 2009: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER IMAGING THEORY AND APPLICATIONS, 2009, : 50 - 55
  • [48] Long wave infrared transmission in atmospheric channel
    Cong, R. (541116696@qq.com), 1600, Chinese Society of Astronautics (43):
  • [49] Cloud clearing of Atmospheric Infrared Sounder hyperspectral infrared radiances using stochastic methods
    Cho, C
    Staelin, DH
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2006, 111 (D9)
  • [50] A methodology for the validation of temperature profiles from hyperspectral infrared sounders using GPS radio occultation: Experience with AIRS and COSMIC
    Feltz, Michelle L.
    Knuteson, Robert O.
    Revercomb, Henry E.
    Tobin, David C.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2014, 119 (03) : 1680 - 1691