Effects of GSICS correction on estimation of sea surface temperature using COMS data

被引:2
|
作者
Park, Eun-Bin [1 ]
Han, Kyung-Soo [2 ]
Yeom, Jong-Min [3 ]
Lee, Chang-Suk [2 ]
Ryu, Jae-Hyun [1 ]
Kim, Hyunji [2 ]
Kim, Do-Hyeong [1 ]
机构
[1] Korea Meteorol Adm, Natl Meteorol Satellite Ctr, Jincheon Gun, South Korea
[2] Pukyong Natl Univ, Dept Spatial Informat Engn, Pusan, South Korea
[3] Korea Aerosp Res Inst, Satellite Informat Res Ctr, Taejon, South Korea
关键词
IN-SITU; INFRARED SATELLITE; INTER-CALIBRATION; CHANNELS; SST; PERFORMANCE; ACCURACY; CLIMATE; IMAGER; SYSTEM;
D O I
10.1080/01431161.2015.1007249
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
A main objective of the Global Space-Based Inter-Calibration System (GSICS) is to ensure consistent accuracy of thermal infrared (IR) channels of satellite measurements. In this article, IR channels observed by the Communication, Ocean, and Meteorological Satellite (COMS) were corrected using observations by the Infrared Atmospheric Sounding Interferometer (IASI) on board Meteorological Operation (MetOp) satellites as a reference. We then produced sea surface temperature (SST) products using GSICS-corrected COMS/Meteorological Imager (MI) IR data and evaluated the accuracies of the SST data by comparing with buoy data. Our results showed that SST produced from GSICS-corrected IR data was more accurate than that from original IR data, with a difference of 0.01-0.2 degrees C. Differences in SST between the original and GSICS-corrected IR showed a linear proportional relationship around IR2 (12.0 mu m) during the day and IR1 (10.8 mu m) at night. In the IR1 analysis, accuracies of daytime SST were improved significantly when the GSICS correction was applied to COMS IR data; also, the mean and median values of SST discrepancies (between the original and GSICS-corrected IR) according to changes in brightness temperature difference (BTD) were close to 0 degrees C. We found that the accuracies of SST estimation from satellite IR bands were greatly improved by applying the GSICS correction.
引用
收藏
页码:1026 / 1037
页数:12
相关论文
共 50 条
  • [41] Assimilation of sea surface temperature into CECOM by flux correction
    Yongsheng Wu
    Charles Tang
    Ewa Dunlap
    Ocean Dynamics, 2010, 60 : 403 - 412
  • [42] Assimilation of sea surface temperature into CECOM by flux correction
    Wu, Yongsheng
    Tang, Charles
    Dunlap, Ewa
    OCEAN DYNAMICS, 2010, 60 (02) : 403 - 412
  • [43] An error correction system for sea surface temperature prediction
    Araujo, Ricardo de A.
    Neto, Paulo S. G. de Mattos
    Nedjah, Nadia
    Soares, Sergio C. B.
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (16): : 11681 - 11699
  • [44] An error correction system for sea surface temperature prediction
    Ricardo de A. Araújo
    Paulo S. G. de Mattos Neto
    Nadia Nedjah
    Sergio C. B. Soares
    Neural Computing and Applications, 2023, 35 : 11681 - 11699
  • [45] THE DATA FORMAT TRANSFORMATION OF SEA SURFACE TEMPERATURE DATA
    Zhao, Lingli
    Zhang, Jianmei
    Li, Junsheng
    Liu, Shuai
    2012 INTERNATIONAL CONFERENCE ON INDUSTRIAL CONTROL AND ELECTRONICS ENGINEERING (ICICEE), 2012, : 636 - 639
  • [46] Data fusion of sea-surface temperature data
    Fieguth, PW
    Khellah, FM
    Murray, MJ
    Allen, MR
    IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 2111 - 2113
  • [47] Atmospheric correction and determination of sea surface temperature in midlatitudes from NOAA-AVHRR data
    Coll, C.
    Caselles, V.
    Valor, E.
    ATMOSPHERIC RESEARCH, 1993, 30 (04) : 233 - 250
  • [48] Variational bias correction of satellite sea-surface temperature data incorporating observations of the bias
    While, James
    Martin, Matthew J.
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2019, 145 (723) : 2733 - 2754
  • [49] Estimating midday near-surface air temperature by weighted consideration of surface and atmospheric moisture conditions using COMS and SPOT satellite data
    Ryu, Jae-Hyun
    Han, Kyung-Soo
    Cho, Jaeil
    Lee, Chang-Suk
    Yoon, Hong-Joo
    Yeom, Jong-Min
    Ou, Mi-Lim
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (13) : 3503 - 3518
  • [50] Assessment of Surface Urban Heat Islands over Three Megacities in East Asia Using Land Surface Temperature Data Retrieved from COMS
    Choi, Youn-Young
    Suh, Myoung-Seok
    Park, Ki-Hong
    REMOTE SENSING, 2014, 6 (06) : 5852 - 5867