{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T04:40:47Z","timestamp":1776314447366,"version":"3.50.1"},"reference-count":63,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T00:00:00Z","timestamp":1658707200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NOAA","award":["NA19NES4320002"],"award-info":[{"award-number":["NA19NES4320002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Visible Infrared Imaging Radiometer Suite (VIIRS) is a key instrument onboard the Suomi NPP (S-NPP) and the NOAA-20 satellites that provides state-of-the-art Earth observations for ocean, land, aerosol, and cloud applications. VIIRS Reflective Solar Band (RSB) Sensor Data Records (SDR, or Level 1b products) are calibrated and produced independently by The National Oceanic and Atmospheric Administration (NOAA) and the National Aeronautics and Space Administration (NASA) VIIRS science teams. Multiple versions of S-NPP and NOAA-20 VIIRS SDRs are available to date. This study evaluates the long-term calibration stability, biases, and inter-channel consistency of S-NPP and NOAA-20 VIIRS SDRs generated by NOAA and NASA over Deep Convective Clouds (DCC) to support downstream applications, especially climate data record studies. Five VIIRS RSB SDRs were analyzed in this study: (1) NOAA version 2 S-NPP VIIRS reprocessed SDRs (NOAA-NPP-V2, 2012\u20132020), (2) NASA Collection 1 S-NPP VIIRS SDRs (NASA-NPP-C1, 2012\u20132021), (3) NASA Collection 2 S-NPP VIIRS SDRs (NASA-NPP-C2, 2012\u20132021), (4) NOAA constant F-factor calibrated NOAA-20 VIIRS SDRs (NOAA-N20-ConstF, 2018\u20132021), and (5) NASA Collection 2 NOAA-20 VIIRS SDRs (NASA-N20-C2, 2018\u20132021). The DCC time series analysis results indicate that the calibrations of the three S-NPP VIIRS RSB SDRs are generally stable, with trends within \u00b10.1%\/year for all RSBs, except for M3\u2013M4 (all three S-NPP SDRs) and I3 (NASA-NPP-C1 only). The calibration of NASA-NPP-C2 SDRs is more uniform at individual detector levels. NOAA-NPP-V2 and NASA-NPP-C1 SDRs exhibit non-negligible time-dependent detector level degradation in M1\u2013M4 (up to 1.5% in 2020\u20132021), causing striping in the SDR imagery. The biases between NOAA and NASA S-NPP VIIRS RSB SDRs are from 0.1% to 2.4%. The calibrations of the two NOAA-20 VIIRS RSB SDRs are also generally stable, with trends within \u00b10.16%\/year. Small downward trends were observed in the visible and near-infrared (VIS\/NIR) bands, and small upward trends were observed in the shortwave infrared (SWIR) bands for both NOAA and NASA NOAA-20 SDRs. The biases between NOAA and NASA NOAA-20 VIIRS RSB SDRs are nearly constant over time and within \u00b10.2% for VIS\/NIR bands and \u00b10.7% for SWIR bands. There exists large inter-satellite biases between S-NPP and NOAA-20 VIIRS SDRs, especially in the VIS\/NIR bands (up to 4.5% for NOAA SDRs and up to 7% for NASA SDRs). In addition, the DCC reflectance of S-NPP VIIRS RSB spectral bands is more consistent with that of the SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) than that of NOAA-20. Bands M4 and M9 seem out of family in all five S-NPP and NOAA-20 RSB SDRs evaluated.<\/jats:p>","DOI":"10.3390\/rs14153566","type":"journal-article","created":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T00:17:27Z","timestamp":1658794647000},"page":"3566","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Evaluation of 10-Year NOAA\/NASA Suomi NPP and NOAA-20 VIIRS Reflective Solar Band (RSB) Sensor Data Records (SDR) over Deep Convective Clouds"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9782-5337","authenticated-orcid":false,"given":"Wenhui","family":"Wang","sequence":"first","affiliation":[{"name":"CISESS\/ESSIC, University of Maryland, College Park, MD 20740, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3572-6525","authenticated-orcid":false,"given":"Changyong","family":"Cao","sequence":"additional","affiliation":[{"name":"NOAA\/NESDIS\/Center for Satellite Applications and Research, College Park, MD 20740, USA"}]},{"given":"Xi","family":"Shao","sequence":"additional","affiliation":[{"name":"CISESS\/ESSIC, University of Maryland, College Park, MD 20740, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1066-4268","authenticated-orcid":false,"given":"Slawomir","family":"Blonski","sequence":"additional","affiliation":[{"name":"Global Science and Technology, Inc., Greenbelt, MD 20770, USA"}]},{"given":"Taeyoung","family":"Choi","sequence":"additional","affiliation":[{"name":"Global Science and Technology, Inc., Greenbelt, MD 20770, USA"}]},{"given":"Sirish","family":"Uprety","sequence":"additional","affiliation":[{"name":"CISESS\/ESSIC, University of Maryland, College Park, MD 20740, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2551-7367","authenticated-orcid":false,"given":"Bin","family":"Zhang","sequence":"additional","affiliation":[{"name":"CISESS\/ESSIC, University of Maryland, College Park, MD 20740, USA"}]},{"given":"Yan","family":"Bai","sequence":"additional","affiliation":[{"name":"CISESS\/ESSIC, University of Maryland, College Park, MD 20740, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"11664","DOI":"10.1002\/2013JD020418","article-title":"Suomi NPP VIIRS sensor data record verification, validation, and long-term performance monitoring","volume":"118","author":"Cao","year":"2013","journal-title":"J. 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