{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:18:10Z","timestamp":1760242690973,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2016,3,1]],"date-time":"2016-03-01T00:00:00Z","timestamp":1456790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Clear-sky brightness temperatures (BT) in five bands of the Advanced Himawari Imager (AHI; flown onboard Himawari-8 satellite) centered at 3.9, 8.6, 10.4, 11.2, and 12.3 \u00b5m (denoted by IR37, IR86, IR10, IR11, and IR12, respectively) are used in the NOAA Advanced Clear-Sky Processor for Oceans (ACSPO) sea surface temperature (SST) retrieval system. Here, AHI BTs are preliminarily evaluated for stability and consistency with the corresponding VIIRS and MODIS BTs, using the sensor observation minus model simulation (O-M) biases and corresponding double differences. The objective is to ensure accurate and consistent SST products from the polar and geo sensors, and to prepare for the launch of the GOES-R satellite in 2016. All five AHI SST bands are found to be largely in-family with their polar counterparts, but biased low relative to the VIIRS and MODIS (which, in turn, were found to be stable and consistent, except for Terra IR86, which is biased high by 1.5 K). The negative biases are larger in IR37 and IR12 (up to ~\u22120.5 K), followed by the three remaining longwave IR bands IR86, IR10, and IR11 (from \u22120.3 to \u22120.4 K). These negative biases may be in part due to the uncertainties in AHI calibration and characterization, although uncertainties in the coefficients of the Community Radiative Transfer Model (CRTM, used to generate the \u201cM\u201d term) may also contribute. Work is underway to add AHI analyses in the NOAA Monitoring of IR Clear-Sky Radiances over Oceans for SST (MICROS) system and improve AHI BTs by collaborating with the sensor calibration and CRTM teams. The Advanced Baseline Imager (ABI) analyses will be also added in MICROS when GOES-R is launched in late 2016 and the ABI IR data become available.<\/jats:p>","DOI":"10.3390\/rs8030203","type":"journal-article","created":{"date-parts":[[2016,3,1]],"date-time":"2016-03-01T11:07:19Z","timestamp":1456830439000},"page":"203","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Preliminary Inter-Comparison between AHI, VIIRS and MODIS Clear-Sky Ocean Radiances for Accurate SST Retrievals"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5641-0509","authenticated-orcid":false,"given":"Xingming","family":"Liang","sequence":"first","affiliation":[{"name":"NOAA Center for Satellite Application and Research (STAR), College Park, MD 20740, USA"},{"name":"CSU, Cooperative Institute for Research in the Atmospheres (CIRA), Fort Collins, CO 80523, USA"}]},{"given":"Alexander","family":"Ignatov","sequence":"additional","affiliation":[{"name":"NOAA Center for Satellite Application and Research (STAR), College Park, MD 20740, USA"}]},{"given":"Maxim","family":"Kramar","sequence":"additional","affiliation":[{"name":"NOAA Center for Satellite Application and Research (STAR), College Park, MD 20740, USA"},{"name":"GST Inc., Greenbelt, MD 20740, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8343-0863","authenticated-orcid":false,"given":"Fangfang","family":"Yu","sequence":"additional","affiliation":[{"name":"NOAA Center for Satellite Application and Research (STAR), College Park, MD 20740, USA"},{"name":"ERT Inc., Laurel, MD 20707, USA"}]}],"member":"1968","published-online":{"date-parts":[[2016,3,1]]},"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. Geophys. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1142","DOI":"10.1109\/TGRS.2013.2247768","article-title":"Early on-orbit performance of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (S-NPP) Satellite","volume":"52","author":"Cao","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"5065","DOI":"10.1002\/2013JD020423","article-title":"VIIRS on-orbit calibration methodology and performance","volume":"119","author":"Xiong","year":"2014","journal-title":"J. Geophys. Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1175\/BAMS-86-8-1079","article-title":"Introducing the next-generation advanced baseline imager on GOES-R","volume":"86","author":"Schmit","year":"2005","journal-title":"Bull. Am. Meteor. Soc."},{"key":"ref_5","unstructured":"Murata, H., Takahashi, M., and Kosaka, Y. VIS and IR Bands of Himawari-8\/AHI Compatible with Those of MTSAT-2\/Imager. Available online: http:\/\/www.data.jma.go.jp\/mscweb\/technotes\/msctechrep60.pdf."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Okuyama, A., Andou, A., Date, K., Hoasaka, K., Mori, N., Murata, H., Tabata, T., Takahashi, M., Yoshino, R., and Bessho, K. (2015). Preliminary validation of Himawari-8\/AHI navigation and calibration. Proc. SPIE 9607.","DOI":"10.1117\/12.2188978"},{"key":"ref_7","unstructured":"Japan Meteorological Agency Himawari-8 Advanced Himawari Imaer (JMA AHI) Webpage. Available online: http:\/\/www.data.jma.go.jp\/mscweb\/en\/himawari89\/himawari89plan.html."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Liang, X., Ignatov, A., and Kihai, Y. (2009). Implementation of the Community Radiative Transfer Model (CRTM) in Advanced Clear-Sky Processor for Oceans (ACSPO) and validation against nighttime AVHRR radiances. J. Geophys. Res., 114.","DOI":"10.1029\/2008JD010960"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.1175\/2010JTECHA1413.1","article-title":"Clear-sky mask for the advanced clear-sky processor for oceans","volume":"27","author":"Petrenko","year":"2010","journal-title":"J. Atmos. Oceanic Technol."},{"key":"ref_10","unstructured":"Han, Y., van Delst, P., Liu, Q., Weng, F., Yan, B., Treadon, R., and Derber, J. (2006). Community Radiative Transfer Model (CRTM)\u2014Version 1, NOAA Technicl Report NESDIS 122."},{"key":"ref_11","unstructured":"National Centers for Environmental Prediction Global Forecast System (NCEP GFS) webpage, Available online: http:\/\/www.emc.ncep.noaa.gov\/index.php?branch=GFS."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Brasnett, B. (2008). The impact of satellite retrievals in a global sea-surface-temperature analysis. Q. J. R. Meteorol. Soc., 134.","DOI":"10.1002\/qj.319"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Liang, X., and Ignatov, A. (2011). Monitoring of IR clear-sky radiances over oceans for SST (MICROS). J. Atmos. Oceanic Technol., 28.","DOI":"10.1175\/JTECH-D-10-05023.1"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Liang, X., and Ignatov, A. (2013). AVHRR, MODIS, and VIIRS radiometric stability and consistency in SST bands. J. Geophys. Res., 118.","DOI":"10.1002\/jgrc.20205"},{"key":"ref_15","unstructured":"Monitoring of IR Clear-Sky Radiances over Oceans for SST (MICROS) Webpage, Availabe online: http:\/\/www.star.nesdis.noaa.gov\/sod\/sst\/micros."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Griffin, M.K., Burke, H.K., and Kerekes, J.P. (2004). Understanding radiative transfer in the midwave infrared, a precursor to full spectrum atmospheric compensation. Proc. SPIE 5425.","DOI":"10.1117\/12.543526"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.rse.2015.04.023","article-title":"A decade of sea surface temperature from MODIS","volume":"165","author":"Kilpatrick","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Sun, J., Madhavan, S., Xiong, X., and Wang, M. (2015). Long-term drift induced by the electronic crosstalk in Terra MODIS Band 29. J. Geophys. Res., 120.","DOI":"10.1002\/2015JD023602"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Wang, L., Han, Y., Jin, X., Chen, Y., and Tremblay, D. (2015). Radiometric consistency assessment of hyperspectral infrared sounders. Atmos. Meas. Tech., 8.","DOI":"10.5194\/amtd-8-7161-2015"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"4005","DOI":"10.1109\/TGRS.2008.2001062","article-title":"On-orbit calibration assessment of AVHRR longwave channels on Metop-A using IASI","volume":"46","author":"Wang","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1175\/1520-0450(2003)042<0570:TAILSS>2.0.CO;2","article-title":"Toward an integrated land\u2013ocean surface skin temperature analysis from the variational assimilation of infrared radiances","volume":"42","author":"Garand","year":"2003","journal-title":"J. Appl. Meteor."},{"key":"ref_22","unstructured":"Liang, X., Ignatov, A., Han, Y., and Zhang, H. Validation and Improvements of Daytime CRTM Performance Using AVHRR IR 3.7 um Band. Available online: https:\/\/ams.confex.com\/ams\/pdfpapers\/170593.pdf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1175\/1520-0426(2004)021<0537:PSNOAP>2.0.CO;2","article-title":"Predicting simultaneous nadir overpasses among polar-orbiting meteorological satellites for the inter-satellite calibration of radiometers","volume":"21","author":"Cao","year":"2004","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_24","unstructured":"JMA Himawari-8 AHI IR Inter-calibration with AIRS, IASI-A\/B and CrIS webpage. Available online: http:\/\/www.data.jma.go.jp\/mscweb\/data\/monitoring\/gsics\/ir\/monit_geoleoir.html."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/3\/203\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:19:57Z","timestamp":1760210397000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/3\/203"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3,1]]},"references-count":24,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2016,3]]}},"alternative-id":["rs8030203"],"URL":"https:\/\/doi.org\/10.3390\/rs8030203","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2016,3,1]]}}}