{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:54:55Z","timestamp":1778604895111,"version":"3.51.4"},"reference-count":26,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2013,12,12]],"date-time":"2013-12-12T00:00:00Z","timestamp":1386806400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Based on simulated reflectance, deep convective clouds (DCC) can be used as an invariant target to monitor the radiometric response degradation of the FY-3A\/MERSI (Medium Resolution Spectral Imager) reflective solar bands (RSBs). The long-term response of the MERSI RSBs can easily be predicted using a quadratic fit of the monthly DCC mean reflectance, except for bands 6 and 7, which suffer from instrument anomalies. DCC-based degradations show that the blue bands (\u03bb &lt; 500 nm) and water-vapor bands have degraded significantly, whereas for near-infrared bands, the total degradations in four years are within 3% (excluding bands 3 and 20). For most bands, the degradation rates are greatest during the first year in orbit and decrease over time. The FY-3A\/MERSI degradation results derived from DCC are consistent within 2.5%, except for bands, 11, 18 and 19, when compared with Aqua\/MODIS(Moderate Resolution Imaging Sepetroradiometer) inter-calibration, multi-site invariant earth target calibration and the CRCS(Chinese Radiometric Calibration Site) Dunhuang desert vicarious calibration methods. Overall, the 2\u03c3\/mean degradation uncertainty for most MERSI bands was within 3%, validating the temporal stability of the DCC monthly mean reflectances. The DCC method has reduced the degradation uncertainties for MERSI water vapor bands over other methods. This is a significant advantage of the DCC calibration method. The saturation of some MERSI bands may hinder the effectiveness of the DCC calibration approach.<\/jats:p>","DOI":"10.3390\/rs5126958","type":"journal-article","created":{"date-parts":[[2013,12,12]],"date-time":"2013-12-12T13:35:11Z","timestamp":1386855311000},"page":"6958-6975","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["The Application of Deep Convective Clouds in the Calibration and Response Monitoring of the Reflective Solar Bands of FY-3A\/MERSI (Medium Resolution Spectral Imager)"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2390-899X","authenticated-orcid":false,"given":"Lin","family":"Chen","sequence":"first","affiliation":[{"name":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,  China Meteorological Administration (LRCVES\/CMA), No. 46 Zhongguancun Nandajie Rd., Beijing 10081, China"},{"name":"National Satellite Meteorology Center, China Meteorological Administration (NSMC\/CMA), Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuqing","family":"Hu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,  China Meteorological Administration (LRCVES\/CMA), No. 46 Zhongguancun Nandajie Rd., Beijing 10081, China"},{"name":"National Satellite Meteorology Center, China Meteorological Administration (NSMC\/CMA), Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Na","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,  China Meteorological Administration (LRCVES\/CMA), No. 46 Zhongguancun Nandajie Rd., Beijing 10081, China"},{"name":"National Satellite Meteorology Center, China Meteorological Administration (NSMC\/CMA), Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7115-1389","authenticated-orcid":false,"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,  China Meteorological Administration (LRCVES\/CMA), No. 46 Zhongguancun Nandajie Rd., Beijing 10081, China"},{"name":"National Satellite Meteorology Center, China Meteorological Administration (NSMC\/CMA), Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2013,12,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/S0034-4257(98)00111-4","article-title":"Calibration of space multispectral imaging sensor: A review","volume":"68","author":"Dinguirard","year":"1999","journal-title":"Remote Sens. Environ"},{"key":"ref_2","first-page":"458","article-title":"In-flight radiometric calibration for VNIR channels of FY-1C satellite sensor by using irradiance based method (In Chinese)","volume":"7","author":"Hu","year":"2003","journal-title":"J. Remote Sens"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s00376-006-0008-3","article-title":"An overview of MODIS radiometric calibration and characterization","volume":"23","author":"Xiong","year":"2006","journal-title":"Adv. Atmos. Sci"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1931","DOI":"10.1080\/01431169508954530","article-title":"Inter-satellite calibration linkages for the visible and near-infrared channels of the Advanced Very High Resolution Radiometer on the NOAA-7, -9, and -11 spacecraft","volume":"16","author":"Rao","year":"1995","journal-title":"Int. J. Remote Sens"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1016\/S0273-1177(97)00245-7","article-title":"Signal degradation of the AVHRR shortwave channels of NOAA 11 and NOAA 14 by daily monitoring of desert targets","volume":"19","author":"Koslowsky","year":"1997","journal-title":"Adv. Space Res"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1175\/1520-0426(2002)019<1233:RCOOAR>2.0.CO;2","article-title":"Rapid calibration of operational and research meteorological satellite imagers","volume":"19","author":"Minnis","year":"2002","journal-title":"J. Atmos. Oceanic Ocean. Technol"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3635","DOI":"10.1080\/0143116021000023907","article-title":"Calibration of visible and near-infrared channels of the NOAA-12 AVHRR using time series of observations over deserts","volume":"24","author":"Heidinger","year":"2003","journal-title":"Int. J. Remote Sens"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.rse.2003.10.006","article-title":"Surface characterisation of the Dome Dome Concordia area (Antarctica) as a potential satellite calibration site, using Spot 4\/Vegetation instrument","volume":"89","author":"Six","year":"2004","journal-title":"Remote Sens. Environ"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Eplee, R.E., Barnes, R.A., Patt, F.S., Meister, G., and McClain, C.R. (2004, January 26). SeaWiFS Lunar Calibration Methodology after Six Years on Orbit. Denver, CO, USA.","DOI":"10.1117\/12.556408"},{"key":"ref_10","unstructured":"Mitchell, D.G. (2007). Global Space-Based Inter-Calibration System (GSICS). Proc. SPIE, 6684."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1175\/2010BAMS2967.1","article-title":"The global space-based inter-calibration system","volume":"92","author":"Goldberg","year":"2011","journal-title":"Bull. Am. Meteorol. Soc"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Doelling, D.R., Nguyenb, L., and Minis, P. (2004, January 26). On the Use of Deep Convective Clouds to Calibrate AVHRR Data. Denver, CO, USA.","DOI":"10.1117\/12.560047"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2594","DOI":"10.1109\/TGRS.2004.834765","article-title":"Application of deep convective cloud albedo observation to satellite-based study of the terrestrial atmosphere: Monitoring the stability of spaceborne measurements and assessing absorption anomaly","volume":"42","author":"Hu","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1175\/2007JTECHA1021.1","article-title":"Assessment of the visible channel calibrations of the VIRS on TRMM and MODIS on Aqua and Terra","volume":"25","author":"Minnis","year":"2008","journal-title":"J. Atmos. Ocean. Technol"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1109\/TGRS.2008.2005634","article-title":"Monitoring of radiometric sensitivity changes of space sensors using deep convective clouds: Operational application to PARASOL","volume":"47","author":"Fougnie","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1109\/TGRS.2012.2225066","article-title":"The characterization of deep convective clouds as an invariant calibration target and as a visible calibration technique","volume":"51","author":"Doelling","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_17","first-page":"0501","article-title":"FY-3A: The new polar-orbiting meteorological satellite of China","volume":"67","author":"Yang","year":"2009","journal-title":"Acta Meteorol. Sin"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1531","DOI":"10.1175\/2009BAMS2798.1","article-title":"An overview of a new Chinese weather satellite FY-3A","volume":"90","author":"Dong","year":"2009","journal-title":"Bull. Am. Meteorol. Soc"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"4915","DOI":"10.1109\/TGRS.2012.2214226","article-title":"Calibration for the solar reflective bands of medium resolution spectral imager onboard FY-3A","volume":"50","author":"Hu","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"566","DOI":"10.5589\/m10-087","article-title":"Characterization of CRCS Dunhuang test site and vicarious calibration utilization for Fengyun (FY) series sensors","volume":"36","author":"Hu","year":"2010","journal-title":"Can. J. Remote Sens"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4929","DOI":"10.1109\/TGRS.2012.2215613","article-title":"Multi-site calibration tracking for FY-3A mersi solar bands","volume":"50","author":"Sun","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2101","DOI":"10.1175\/1520-0477(1998)079<2101:SARATS>2.0.CO;2","article-title":"SBDART: A research and teaching software tool for plane-parallel radiative transfer in the Earth\u2019s atmosphere","volume":"79","author":"Ricchiazzi","year":"1998","journal-title":"Bull. Am. Meteorol. Soc"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1109\/TGRS.2006.890567","article-title":"Multiyear on-orbit calibration and performance of Terra MODIS solar reflective bands","volume":"45","author":"Xiong","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1109\/TGRS.2009.2024307","article-title":"On-orbit calibration and performance of Aqua MODIS reflective solar bands","volume":"48","author":"Xiong","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2272","DOI":"10.1175\/2009JAMC2197.1","article-title":"Possibility of the visible-channel calibration using deep convective clouds overshooting the TTL","volume":"48","author":"Sohn","year":"2009","journal-title":"J. Appl. Meteorol. Climatol"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1437","DOI":"10.1109\/TGRS.2012.2236682","article-title":"Rayleigh, deep convective clouds, and cross-sensor desert vicarious calibration validation for the PROBA-V mission","volume":"51","author":"Sterckx","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/5\/12\/6958\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:51:19Z","timestamp":1760219479000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/5\/12\/6958"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,12,12]]},"references-count":26,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2013,12]]}},"alternative-id":["rs5126958"],"URL":"https:\/\/doi.org\/10.3390\/rs5126958","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,12,12]]}}}