2015
DOI: 10.1016/j.rse.2015.01.001
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Estimation of subsurface temperature anomaly in the Indian Ocean during recent global surface warming hiatus from satellite measurements: A support vector machine approach

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Cited by 96 publications
(85 citation statements)
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“…Hence, improvements in the accuracy of subsurface thermal structure measurements at large scales are needed for near-real time assimilation models [40]. Oceanography has been revolutionized in the last decade by satellite sensors because of their repetitive, synoptic temperature measurement capabilities over the sea surface [39] and satellite measurements over large-scale regions [31].…”
Section: Remote Sensing Capabilities For Estimating Ocean/sea Subsurfmentioning
confidence: 99%
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“…Hence, improvements in the accuracy of subsurface thermal structure measurements at large scales are needed for near-real time assimilation models [40]. Oceanography has been revolutionized in the last decade by satellite sensors because of their repetitive, synoptic temperature measurement capabilities over the sea surface [39] and satellite measurements over large-scale regions [31].…”
Section: Remote Sensing Capabilities For Estimating Ocean/sea Subsurfmentioning
confidence: 99%
“…Researchers have used the relationship between sea surface and subsurface parameters to estimate the subsurface temperature structure [31,41,[50][51][52][53]. Specifically, they have used the relationships between salinity, height, and temperature, and have extended the methodology for assimilating the temperature of the subsurface of the water.…”
Section: Remote Sensing Capabilities For Estimating Ocean/sea Subsurfmentioning
confidence: 99%
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