{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:29:34Z","timestamp":1760239774160,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T00:00:00Z","timestamp":1607990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NNH17ZDA001N-TASNPP"],"award-info":[{"award-number":["NNH17ZDA001N-TASNPP"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Climate studies, including trend detection and other time series analyses, necessarily require stable, well-characterized and long-term data records. For satellite-based geophysical retrieval datasets, such data records often involve merging the observational records of multiple similar, though not identical, instruments. The National Aeronautics and Space Administration (NASA) cloud mask (CLDMSK) and cloud-top and optical properties (CLDPROP) products are designed to bridge the observational records of the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard NASA\u2019s Aqua satellite and the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the joint NASA\/National Oceanic and Atmospheric Administration (NOAA) Suomi National Polar-orbiting Partnership (SNPP) satellite and NOAA\u2019s new generation of operational polar-orbiting weather platforms (NOAA-20+). Early implementations of the CLDPROP algorithms on Aqua MODIS and SNPP VIIRS suffered from large intersensor biases in cloud optical properties that were traced back to relative radiometric inconsistency in analogous shortwave channels on both imagers, with VIIRS generally observing brighter top-of-atmosphere spectral reflectance than MODIS (e.g., up to 5% brighter in the 0.67 \u00b5m channel). Radiometric adjustment factors for the SNPP and NOAA-20 VIIRS shortwave channels used in the cloud optical property retrievals are derived from an extensive analysis of the overlapping observational records with Aqua MODIS, specifically for homogenous maritime liquid water cloud scenes for which the viewing\/solar geometry of MODIS and VIIRS match. Application of these adjustment factors to the VIIRS L1B prior to ingestion into the CLDMSK and CLDPROP algorithms yields improved intersensor agreement, particularly for cloud optical properties.<\/jats:p>","DOI":"10.3390\/rs12244096","type":"journal-article","created":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T21:11:02Z","timestamp":1608066662000},"page":"4096","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5361-9200","authenticated-orcid":false,"given":"Kerry","family":"Meyer","sequence":"first","affiliation":[{"name":"Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3964-3567","authenticated-orcid":false,"given":"Steven","family":"Platnick","sequence":"additional","affiliation":[{"name":"Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5443-4953","authenticated-orcid":false,"given":"Robert","family":"Holz","sequence":"additional","affiliation":[{"name":"Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steve","family":"Dutcher","sequence":"additional","affiliation":[{"name":"Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Greg","family":"Quinn","sequence":"additional","affiliation":[{"name":"Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fred","family":"Nagle","sequence":"additional","affiliation":[{"name":"Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1109\/36.20292","article-title":"MODIS\u2014Advanced facility instrument for studies of the earth as a system","volume":"27","author":"Salomonson","year":"1989","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/36.124212","article-title":"Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS)","volume":"30","author":"King","year":"1992","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1250","DOI":"10.1109\/36.701076","article-title":"An overview of MODIS capabilities for ocean science observations","volume":"36","author":"Esaias","year":"1998","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/S0034-4257(02)00084-6","article-title":"An overview of MODIS Land data processing and product status","volume":"83","author":"Justice","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Wielicki, B.A., Young, D.F., Mlynczak, M.G., Thome, K.J., Leroy, S., Corliss, J., Anderson, J.G., Ao, C.O., Bantges, R., and Best, F. (2013). Achieving Climate Change Absolute Accuracy in Orbit. Bull. Am. Meteorol. Soc., 1520\u20131539.","DOI":"10.1175\/BAMS-D-12-00149.1"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1175\/2008JTECHA1052.1","article-title":"Cloud Detection with MODIS. Part I: Improvements in the MODIS Cloud Mask for Collection 5","volume":"25","author":"Frey","year":"2008","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.1175\/2007JTECHA1053.1","article-title":"Cloud Detection with MODIS. Part II: Validation","volume":"25","author":"Ackerman","year":"2008","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1175\/JAMC-D-11-0203.1","article-title":"MODIS Cloud-Top Property Refinements for Collection 6","volume":"51","author":"Baum","year":"2012","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1109\/TGRS.2016.2610522","article-title":"The MODIS cloud optical and microphysical products: Collection 6 updates and examples from Terra and Aqua","volume":"55","author":"Platnick","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","first-page":"D14S21","article-title":"Radiative susceptibility of cloudy atmospheres to droplet number perturbations: 2. Global analysis from MODIS","volume":"113","author":"Oreopoulos","year":"2008","journal-title":"J. Geophys. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1038\/s41586-019-1423-9","article-title":"Weak average liquid-cloud-water response to anthropogenic aerosols","volume":"572","author":"Toll","year":"2019","journal-title":"Nature"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4085","DOI":"10.5194\/acp-20-4085-2020","article-title":"Untangling causality in midlatitude aerosol & cloud adjustments","volume":"20","author":"McCoy","year":"2020","journal-title":"Atmos. Chem. Phys."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1002\/2016JD025174","article-title":"On the response of MODIS cloud coverage to global mean surface air temperature","volume":"122","author":"Yue","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Frey, R.A., Ackerman, S.A., Holz, R.E., Dutcher, S., and Griffith, Z. (2020). The continuity MODIS-VIIRS cloud mask. Remote Sens., 12.","DOI":"10.3390\/rs12203334"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Platnick, S., Meyer, K., Wind, G., and Holz, R. (2020). The NASA MODIS-VIIRS continuity cloud optical properties products. Remote Sens., submitted.","DOI":"10.3390\/rs13010002"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1117\/1.JRS.12.034001","article-title":"Updates of Moderate Resolution Imaging Spectroradiometer on-orbit calibration uncertainty assessments","volume":"12","author":"Xiong","year":"2018","journal-title":"J. Appl. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"6355","DOI":"10.1109\/TGRS.2019.2905792","article-title":"MODIS Reflective Solar Bands On-Orbit Calibration and Performance","volume":"57","author":"Xiong","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_18","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. Geophys. Res. Atmos."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Xiong, X., Butler, J., Chiang, K., Efremova, B., Fulbright, J., Lei, N., McIntire, J., Oudrari, H., Wang, Z., and Wu, A. (2016). Assessment of S-NPP VIIRS on-orbit radiometric calibration and performance. Remote Sens., 8.","DOI":"10.3390\/rs8020084"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.5194\/amt-10-1425-2017","article-title":"Cross-calibration of S-NPP VIIRS moderate-resolution reflective solar bands against MODIS Aqua over dark water scenes","volume":"10","author":"Sayer","year":"2017","journal-title":"Atmos. Meas. Tech."},{"key":"ref_21","first-page":"781","article-title":"The Evolution of U.S. Moderate Resolution Optical Land Remote Sensing from AVHRR to VIIRS","volume":"Volume 11","author":"Ramachandran","year":"2011","journal-title":"Land Remote Sensing and Global Environmental Change"},{"key":"ref_22","unstructured":"Cao, C., Xiong, X., Wolfe, R., DeLuccia, F., Liu, Q., Blonski, S., Lin, G., Nishihama, M., Pogorzala, D., and Oudrari, H. (2013). Visible Infrared Imaging Radiometer Suite (VIIRS) Sensor Data Record (SDR) User\u2019s Guide."},{"key":"ref_23","unstructured":"Ackerman, S.A., Frey, R., Strabala, K.I., Liu, Y., Gumley, L.E., Baum, B., and Menzel, W.P. (2010). Discriminating Clear-Sky from Cloud with MODIS\u2014Algorithm Theoretical Basis Document."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1587","DOI":"10.5194\/amt-9-1587-2016","article-title":"MODIS Collection 6 shortwave-derived cloud phase classification algorithm and comparisons with CALIOP","volume":"9","author":"Marchant","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1878","DOI":"10.1175\/1520-0469(1990)047<1878:DOTOTA>2.0.CO;2","article-title":"Determination of the optical-thickness and effective particle radius of clouds from reflected solar-radiation measurements. Part 1: Theory","volume":"47","author":"Nakajima","year":"1990","journal-title":"J. Atmos. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2315","DOI":"10.1175\/2010JAMC2364.1","article-title":"Multilayer Cloud Detection with the MODIS Near-Infrared Water Vapor Absorption Band","volume":"49","author":"Wind","year":"2010","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"3531","DOI":"10.1364\/AO.32.003531","article-title":"Refractive-indexes of water and ice in the 0.65- to 2.5-\u00b5m spectral range","volume":"32","author":"Kou","year":"1993","journal-title":"Appl. Opt."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"7099","DOI":"10.1021\/jp051942z","article-title":"Mid-infrared extinction spectra and optical constants of supercooled water droplets","volume":"109","author":"Wagner","year":"2005","journal-title":"J. Phys. Chem. A"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Platnick, S., Meyer, K.G., Amarasinghe, N., Wind, G., Hubanks, P.A., and Holz, R.E. (2020). Sensitivity of Multispectral Imager Liquid Water Cloud Microphysical Retrievals to the Index of Refraction. Remote Sens., submitted.","DOI":"10.3390\/rs12244165"},{"key":"ref_30","unstructured":"Heidinger, A.K., and Li, Y. (2018). Enterprise AWG Cloud Height Algorithm (ACHA)."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Heidinger, A.K., Foster, M.J., Walther, A., and Zhao, X.T. (2014). The Pathfinder Atmospheres\u2013Extended AVHRR climate dataset. Bull. Am. Meteorol. Soc., 909\u2013922.","DOI":"10.1175\/BAMS-D-12-00246.1"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Holz, R.E., Ackerman, S.A., Nagle, F.W., Frey, R., Dutcher, S., Kuehn, R.E., Vaughan, M.A., and Baum, B. (2008). Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP. J. Geophys. Res., 113.","DOI":"10.1029\/2008JD009837"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Liang, L., Di Girolamo, L., and Platnick, S. (2009). View-angle consistency in reflectance, optical thickness and spherical albedo of marine water-clouds over the northeastern Pacific through MISR-MODIS fusion. Geophys. Res. Lett., 36.","DOI":"10.1029\/2008GL037124"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Marshak, A., Platnick, S., V\u00e1rnai, T., Wen, G., and Cahalan, R.F. (2006). Impact of three-dimensional radiative effects on satellite retrievals of cloud droplet sizes. J. Geophys. Res., 111.","DOI":"10.1029\/2005JD006686"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Zhang, Z., and Platnick, S. (2011). An assessment of differences between cloud effective particle radius retrievals for marine water clouds from three MODIS spectral bands. J. Geophys. Res., 116.","DOI":"10.1029\/2011JD016216"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"7007","DOI":"10.1002\/2016JD024837","article-title":"A framework based on 2-D Taylor expansion for quantifying the impacts of subpixel reflectance variance and covariance on cloud optical thickness and effective radius retrievals based on the bispectral method","volume":"121","author":"Zhang","year":"2016","journal-title":"J. Geophys. Res. Atmos."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/24\/4096\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:45:30Z","timestamp":1760179530000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/24\/4096"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,15]]},"references-count":36,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2020,12]]}},"alternative-id":["rs12244096"],"URL":"https:\/\/doi.org\/10.3390\/rs12244096","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2020,12,15]]}}}