{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T22:58:28Z","timestamp":1781305108968,"version":"3.54.1"},"reference-count":40,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T00:00:00Z","timestamp":1706227200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2019YFA0607001"],"award-info":[{"award-number":["2019YFA0607001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Arctic plays a crucial role in the intricate workings of the global climate system. With the rapid development of information technology, satellite remote sensing technology has emerged as the main method for sea ice surface temperature (IST) observation. To obtain Arctic IST, we used the FengYun-3D Microwave Radiation Imager (FY-3D\/MWRI) brightness temperature (Tb) data for IST inversion using multiple linear regressions. Measured data on IST parameters in the Arctic are difficult to obtain. We used the Moderate-Resolution Imaging Spectroradiometer (MODIS) MYD29 IST data as the baseline to obtain the coefficients for the MWRI IST inversion function. The relation between MWRI Tb data and MODIS MYD29 IST product was established and the microwave IST inversion equation was obtained for the months of January to December 2019. Based on the R2 results and the IST inversion results, we compared and analyzed the MWRI IST data from the months of January to April, November, and December with the Operation IceBridge KT19 IR Surface Temperature data and the Northern High Latitude Level 3 Sea and Sea Ice Surface Temperature (NHL L3 SST\/IST). We found that compared MWRI IST with NHL L3 IST, the correlation coefficients (Corr) &gt; 0.72, mean bias ranged from \u22121.82 \u00b0C to \u22120.67 \u00b0C, and the standard deviation (Std) ranged from 3.61 \u00b0C to 4.54 \u00b0C; comparing MWRI IST with KT19 IST, the Corr was 0.69, the bias was 0.51 \u00b0C, and the Std was 4.34 \u00b0C. The obtained error conforms to the precision requirement. From these results, we conclude that the FY-3D\/MWRI Tb data are suitable for IST retrieval in the Arctic using multiple linear regressions.<\/jats:p>","DOI":"10.3390\/rs16030490","type":"journal-article","created":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T10:54:27Z","timestamp":1706266467000},"page":"490","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Arctic Sea Ice Surface Temperature Inversion Using FY-3D\/MWRI Brightness Temperature Data"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5512-6370","authenticated-orcid":false,"given":"Xin","family":"Meng","sequence":"first","affiliation":[{"name":"College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8031-8718","authenticated-orcid":false,"given":"Haihua","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Ni","sequence":"additional","affiliation":[{"name":"Aerospace Times FeiHong Technology Company Limited, Beijing 100094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lele","family":"Li","sequence":"additional","affiliation":[{"name":"College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.1109\/TGRS.2004.825587","article-title":"Sea Ice Surface Temperature Product from MODIS","volume":"42","author":"Hall","year":"2004","journal-title":"IEEE Trans. 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