{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T22:28:25Z","timestamp":1783031305527,"version":"3.54.6"},"reference-count":19,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2014,3,28]],"date-time":"2014-03-28T00:00:00Z","timestamp":1395964800000},"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>FengYun-3 (FY-3) Visible Infrared Radiometer (VIRR), along with its predecessor, Multispectral Visible Infrared Scanning Radiometer (MVISR), onboard FY-1C&amp;D have had continuous global observation more than 14 years. This data record is valuable for weather prediction, climate monitoring, and environment research. Data quality is vital for satellite data assimilations in Numerical Weather Prediction (NWP) and quantitative remote sensing applications. In this paper, the accuracies of radiometric calibration for VIRR onboard FY-3A and FY-3B, in thermal infrared (TIR) channels, are evaluated using the Low Earth Orbit (LEO)-LEO simultaneous nadir overpass intercalibration method. Hyperspectral and high-quality observations from Infrared Atmosphere Sounding Instrument (IASI) onboard METOP-A are used as reference. The biases of VIRR measurements with respect to IASI over one-and-a-half years indicate that the TIR calibration accuracy of FY-3B VIRR is better than that of FY-3A VIRR. The brightness temperature (BT) measured by FY-3A\/VIRR is cooler than that measured by IASI with monthly mean biases ranging from \u22122 K to \u22121 K for channel 4 and \u22121 K to 0.2 K for channel 5. Measurements from FY-3B\/VIRR are more consistent with that from IASI, and the annual mean biases are 0.84 \u00b1 0.16 K and \u22120.66 \u00b1 0.18 K for channels 4 and 5, respectively. The BT biases of FY-3A\/VIRR show scene temperature-dependence  and seasonal variation, which are not found from FY-3B\/VIRR BT biases. The temperature-dependent biases are shown to be attributed to the nonlinearity of detectors. New nonlinear correction coefficients of FY-3A\/VIRR TIR channels are reevaluated using various collocation samples. Verification results indicate that the use of the new nonlinear correction can greatly correct the scene temperature-dependent and systematic biases.<\/jats:p>","DOI":"10.3390\/rs6042884","type":"journal-article","created":{"date-parts":[[2014,3,28]],"date-time":"2014-03-28T19:31:49Z","timestamp":1396035109000},"page":"2884-2897","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Assessment and Correction of on-Orbit Radiometric Calibration for FY-3 VIRR Thermal Infrared Channels"],"prefix":"10.3390","volume":"6","author":[{"given":"Na","family":"Xu","sequence":"first","affiliation":[{"name":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,  China Meteorological Administration, Beijing 100081, China"},{"name":"National Satellite  Meteorological Center, China Meteorological Administration, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2390-899X","authenticated-orcid":false,"given":"Lin","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,  China Meteorological Administration, Beijing 100081, China"},{"name":"National Satellite  Meteorological Center, China Meteorological Administration, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiuqing","family":"Hu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,  China Meteorological Administration, Beijing 100081, China"},{"name":"National Satellite  Meteorological Center, China Meteorological Administration, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Satellite  Meteorological Center, China Meteorological Administration, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7115-1389","authenticated-orcid":false,"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Satellite  Meteorological Center, China Meteorological Administration, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2014,3,28]]},"reference":[{"key":"ref_1","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_2","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1109\/TGRS.2012.2228654","article-title":"Overview of intercalibration of satellite instruments","volume":"51","author":"Chander","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Wu, X., and Goldberg, M.D. (2007). Global space-based intercalibration system (GSICS). Proc. SPIE, 6684.","DOI":"10.1117\/12.734127"},{"key":"ref_4","first-page":"745604-1","article-title":"GSICS GEO-LEO intercalibration: Baseline algorithm and early results","volume":"7456","author":"Wu","year":"2009","journal-title":"Proc. SPIE"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1109\/TGRS.2013.2238544","article-title":"GSICS intercalibration of infrared channels of geostationary imagers using Metop\/IASI","volume":"51","author":"Hewison","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Aumann, H.H, Broberg, S., Elliott, D., Gaiser, S., and Gregorich, D. (2006). Three years of Atmospheric Infrared Sounder radiometric calibration validation using sea surface temperatures. J. Geophys. Res, 111.","DOI":"10.1029\/2005JD006822"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Blumstein, D., Tournier, B., Cayla, F.R., Phulpin, T., Fjortoft, R., Buil, C., and Ponce, G. (2007). In-flight performance of the Infrared Atmospheric Sounding Interferometer (IASI) on METOP-A. Proc. SPIE, 6684.","DOI":"10.1117\/12.734162"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Wang, L., Goldberg, M., Wu, X., Cao, C., Iacovazzi, R., Yu, F., and Li, Y. (2011). Consistency assessment of Atmospheric Infrared Sounder and Infrared Atmospheric Sounding Interferometer radiance: Double differences versus simultaneous NADIR overpass. J. Geophys. Res, 116.","DOI":"10.1029\/2010JD014988"},{"key":"ref_9","first-page":"939","article-title":"Intercalibration of infrared channels of FY-2\/VISSR using highspectral resolution sensors IASI and AIRS","volume":"16","author":"Xu","year":"2012","journal-title":"J. Remote Sens"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"5008","DOI":"10.1109\/TGRS.2013.2275871","article-title":"Long-term monitoring and correction of FY-2 infrared channel calibration using AIRS and IASI","volume":"51","author":"Hu","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1843","DOI":"10.1175\/2009JTECHA1233.1","article-title":"Intercalibration of GOES-11 and GOES-12 water vapor channels with MetOp IASI hyperspectral measurements","volume":"26","author":"Wang","year":"2009","journal-title":"J. Atmos. Ocean. Technol"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1109\/TGRS.2012.2219625","article-title":"Radiometric calibration accuracy of GOES sounder infrared channels","volume":"51","author":"Yu","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1109\/TGRS.2012.2236330","article-title":"An evaluation of the uncertainty of the GSICS SEVIRI\u2013IASI intercalibration products","volume":"51","author":"Hewison","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_14","first-page":"1","article-title":"New approach to intercalibration using high spectral resolution sounder","volume":"50","author":"Tahara","year":"2008","journal-title":"Meteorol. Satell. Center Techn. Note"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3323","DOI":"10.1029\/97JC02018","article-title":"Corrections for detector nonlinearities and calibration inconsistencies of the infrared channels of the advanced very high resolution radiometer","volume":"103","author":"Walton","year":"1998","journal-title":"J. Geophys. Res"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1215","DOI":"10.1109\/TGRS.2012.2236100","article-title":"Correction for GOES imager spectral response function using GSICS. Part I: Theory","volume":"51","author":"Wu","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_17","unstructured":"Cracknell, A.P. (1997). The Advanced Very High Resolution Radiometer, Taylor & Francis."},{"key":"ref_18","unstructured":"NOAA KLM User\u2019s Guide (September 2000 Revision). Available online: http:\/\/www.ncdc.noaa.gov\/oa\/pod-guide\/ncdc\/docs\/klm\/index.htm."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"33463","DOI":"10.1029\/2001JD001051","article-title":"Solar contamination effects on the infrared channels of the Advanced Very High Resolution Radiometer (AVHRR)","volume":"106","author":"Cao","year":"2001","journal-title":"J. Geophys. Res"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/4\/2884\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:09:44Z","timestamp":1760216984000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/4\/2884"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3,28]]},"references-count":19,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2014,4]]}},"alternative-id":["rs6042884"],"URL":"https:\/\/doi.org\/10.3390\/rs6042884","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,3,28]]}}}