Long-Term Assessment of Inter-Sensor Radiometric Biases Among SNPP, NOAA-20, NOAA-21 OMPS Nadir, and CrIS Instruments Using the NOAA ICVS-iSensor-RCBA Portal

Details

• Journal Title:
  Remote Sensing
• Personal Author:
  Yan, Banghua ; Liang, Ding ; Jin, Xin ; Sun, Ninghai ; Iturbide-Sanchez, Flavio ; Wu, Xiangqian ; Wang, Likun
• NOAA Program & Office:
  NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CISESS (Cooperative Institute for Satellite Earth System Studies)
• Description:
  This study provides a comprehensive, long-term evaluation of inter-sensor radiometric calibration biases for the NOAA OMPS Nadir and CrIS instruments using four complementary validation methodologies implemented within the Inter-Sensor Radiometric Bias Assessment (iSensor-RCBA) portal, a component of the STAR Integrated Calibration/Validation System. Overall, SDR data quality from the three OMPS Nadir instruments and three CrIS instruments aboard SNPP, NOAA-20, and NOAA-21 remains stable. The iSensor-RCBA portal has also proven to be a powerful diagnostic resource, enabling the detection of both new and previously unrecognized calibration issues and anomalies. Using the 32-day averaged difference method, we were the first to discover and identify the root cause of an inconsistency near 280 nm in inter-sensor radiometric biases between the SNPP and NOAA-20 OMPS NP instruments. The same method also revealed an unusual radiometric feature in NOAA-21 CrIS SDRs over the southern high latitudes during spring and summer. In addition, we derived decade-long degradation rates at 11 Metop-B GOME-2 wavelengths using an independent dataset-Simultaneous Nadir Overpass observations between SNPP OMPS and Metop-B GOME-2. Furthermore, iSensor-RCBA monitoring confirmed two geolocation anomalies in SNPP CrIS through a new approach involving SNO-based inter-sensor biases between GOES-16 ABI and SNPP CrIS. These cases demonstrate that iSensor-RCBA is not only a monitoring visualization tool but also a diagnostic tool that delivers unique, complementary insight into instrument performance, enabling early identification of radiometric and geolocation issues across JPSS and other satellite missions. Importantly, the analysis methods used in this study are broadly applicable to current and future missions, including JPSS-03, JPSS-04, and non-NOAA satellite systems.
• Source:
  Remote Sensing, 18(2), 254
• DOI:
  https://doi.org/10.3390/rs18020254
• ISSN:
  2072-4292
• Format:
  PDF
• Publisher:
  MDPI AG
• Document Type:
  Journal Article
• Funding:
  Grant no. NA24NESX432C0001
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Download URL:
  https://repository.library.noaa.gov/view/noaa/76524/noaa_76524_DS1.pdf
• File Type:
  [PDF - 6.49 MB]
• Collection(s):
  NOAA Cooperative Institutes ; National Environmental Satellite and Data Information Service (NESDIS)
• Main Document Checksum:
  urn:sha-512:4aaa6aa3d4dd6a8a7d1084a9ec49dee29b6a5ce4dce8489458d08a19682edba09e9a4bb18f8499adea292a1aaebfe1530eb73652889bee4d0c835ed1d6c7af83