SST Anomalies in the Mozambique Channel Using Remote Sensing and Numerical Modeling Data

Bibliographic Details
Title: SST Anomalies in the Mozambique Channel Using Remote Sensing and Numerical Modeling Data
Authors: Guoqing Han, Changming Dong, Junde Li, Jingsong Yang, Qingyue Wang, Yu Liu, Joel Sommeria
Source: Remote Sensing, Vol 11, Iss 9, p 1112 (2019)
Publisher Information: MDPI AG, 2019.
Publication Year: 2019
Collection: LCC:Science
Subject Terms: SST anomalies, Mozambique Channel, Madagascar Island, Science
More Details: 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 °C 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.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2072-4292
Relation: https://www.mdpi.com/2072-4292/11/9/1112; https://doaj.org/toc/2072-4292
DOI: 10.3390/rs11091112
Access URL: https://doaj.org/article/dd6fdb464aea4e23840d77500a92c231
Accession Number: edsdoj.6fdb464aea4e23840d77500a92c231
Database: Directory of Open Access Journals
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More Details
ISSN:20724292
DOI:10.3390/rs11091112
Published in:Remote Sensing
Language:English