{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T14:58:24Z","timestamp":1766847504249,"version":"build-2065373602"},"reference-count":35,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,5,9]],"date-time":"2019-05-09T00:00:00Z","timestamp":1557360000000},"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>Based on both satellite remote sensing sea surface temperature (SST) data and numerical model results, SST warming differences in the Mozambique Channel (MC) west of the Madagascar Island (MI) were found with respect to the SST east of the MI along the same latitude. The mean SST west of the MI is up to about 3.0 \u00b0C warmer than that east of the MI. The SST differences exist all year round and the maximum value appears in October. The area of the highest SST is located in the northern part of the MC. Potential factors causing the SST anomalies could be sea surface wind, heat flux and oceanic flow advection. The presence of the MI results in weakening wind in the MC and in turn causes weakening of the mixing in the upper oceans, thus the surface mixed layer depth becomes shallower. There is more precipitation on the east of the MI than that inside the MC because of the orographic effects. Different precipitation patterns and types of clouds result in different solar radiant heat fluxes across both sides of the MI. Warm water advected from the equatorial area also contribute to the SST warm anomalies.<\/jats:p>","DOI":"10.3390\/rs11091112","type":"journal-article","created":{"date-parts":[[2019,5,9]],"date-time":"2019-05-09T08:19:59Z","timestamp":1557389999000},"page":"1112","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["SST Anomalies in the Mozambique Channel Using Remote Sensing and Numerical Modeling Data"],"prefix":"10.3390","volume":"11","author":[{"given":"Guoqing","family":"Han","sequence":"first","affiliation":[{"name":"School of Marine Science, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"given":"Changming","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Marine Science, Nanjing University of Information Science and Technology, Nanjing 210044, China"},{"name":"Southern Laboratory of Ocean Science and Engineering, Zhuhai 519000, China"}]},{"given":"Junde","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7514-3212","authenticated-orcid":false,"given":"Jingsong","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China"}]},{"given":"Qingyue","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Marine Science, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"given":"Yu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Marine Science, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"given":"Joel","family":"Sommeria","sequence":"additional","affiliation":[{"name":"Laboratoire des Ecoulements G\u2019eophysiques et Industriels (LEGI), Universit\u2019e Grenoble Alpes, CNRS, F-38000 Grenoble, France"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1080\/03091929608208966","article-title":"Numerical studies of small island wakes in the ocean","volume":"83","author":"Dietrich","year":"1996","journal-title":"Geophys. 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