NOAA-20 VIIRS Reflective Solar Band Postlaunch Calibration Updates Two Years In-Orbit

被引:18
作者
Choi, Taeyoung [1 ]
Cao, Changyong [2 ]
Blonski, Slawomir [3 ]
Wang, Wenhui [4 ]
Uprety, Sirish [5 ]
Shao, Xi [4 ]
机构
[1] Global Sci & Technol Inc, Greenbelt, MD 20770 USA
[2] NOAA, STAR, College Pk, MD 20740 USA
[3] Global Sci & Technol Inc, PROTECH, Greenbelt, MD 20770 USA
[4] Univ Maryland, CISESS ESSIC, College Pk, MD 20740 USA
[5] Univ Maryland, CISESS, College Pk, MD 20742 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2020年 / 58卷 / 11期
关键词
Moon; Degradation; Calibration; Sun; Radiometry; Detectors; Monitoring; Cross calibration; deep convective cloud (DCC); F-factor; H-factor; lunar irradiance model; National Oceanic and Atmospheric Administration (NOAA)-20; radiometric calibration; reflective solar band (RSB); solar diffuser (SD); SD degradation; sensor data record (SDR); SD stability monitor (SDSM); Visible Infrared Imaging Radiometer Suite (VIIRS); SUOMI-NPP VIIRS; PERFORMANCE;
D O I
10.1109/TGRS.2020.2982764
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The National Oceanic and Atmospheric Administration (NOAA)-20 Visible Infrared Imaging Radiometer Suite (VIIRS) was launched on November 18, 2017, and it has been operational for more than two years and follows the first Joint Polar Satellite System (JPSS) series of the Suomi National Polar-orbiting Partnership (S-NPP) mission. VIIRS has 14 reflective solar bands (RSBs) covering a spectral range of 0.41-2.3 mu m. The primary source of RSB calibration is the solar diffuser (SD), and the time-dependent SD degradation is monitored by the SD stability monitor (SDSM). The initial instability of the SD degradation (H-factor) was resolved by updating SDSM sun screen transmittance function combining yaw maneuver data and on-orbit SDSM data sets. After the H-factor improvements, the VIIRS RSB calibration coefficients (F-factors) are updated and applied to the operational Sensor Data Record (SDR) product generation. To validate the SD F-factors, the lunar F-factors are calculated by using a lunar irradiance model and comparing the trend differences between them. Over the two years of operation, decreasing trends have been calculated with the SD F-factors, whereas constant lunar F-factors were observed in bands M1-M4. With these discrepancies, the operational F-factors remained unchanged since April 2018 because the deep convective cloud (DCC) and cross-calibration comparison results did not show any further degradations in these bands. All the possible radiometric calibration sources, such as SD and lunar F-factors, DCC trends, and cross-calibration results, are monitored, compared, and applied by the NOAA VIIRS SDR science team for the best quality of the VIIRS SDR product.
引用
收藏
页码:7633 / 7642
页数:10
相关论文
共 26 条
  • [1] Baker N., 2011, 47400027 NOAA NASA
  • [2] Suomi NPP VIIRS Reflective Solar Bands Operational Calibration Reprocessing
    Blonski, Slawomir
    Cao, Changyong
    [J]. REMOTE SENSING, 2015, 7 (12): : 16131 - 16149
  • [3] Butler J. J., 2016, 21 EARTH OBS SYST
  • [4] Cao C., 2013, 147 NOAA NESIDS
  • [5] NOAA-20 VIIRS On-orbit Performance, Data quality, and Operational Cal/Val Support
    Cao, Changyong
    Blonski, Slawomir
    Wang, Wenhui
    Uprety, Sirish
    Shao, Xi
    Choi, Jason
    Lynch, Erin
    Kalluri, Satya
    [J]. EARTH OBSERVING MISSIONS AND SENSORS: DEVELOPMENT, IMPLEMENTATION, AND CHARACTERIZATION V, 2018, 10781
  • [6] Suomi NPP VIIRS sensor data record verification, validation, and long-term performance monitoring
    Cao, Changyong
    Xiong, Jack
    Blonski, Slawomir
    Liu, Quanhua
    Uprety, Sirish
    Shao, Xi
    Bai, Yan
    Weng, Fuzhong
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (20) : 11664 - 11678
  • [7] Early On-Orbit Performance of the Visible Infrared Imaging Radiometer Suite Onboard the Suomi National Polar-Orbiting Partnership (S-NPP) Satellite
    Cao, Changyong
    De Luccia, Frank J.
    Xiong, Xiaoxiong
    Wolfe, Robert
    Weng, Fuzhong
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (02): : 1142 - 1156
  • [8] Cao CY, 2004, J ATMOS OCEAN TECH, V21, P537, DOI 10.1175/1520-0426(2004)021<0537:PSNOAP>2.0.CO
  • [9] 2
  • [10] Choi T., 2019, 24 EARTH OBS SYST