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Sea Surface Temperature Retrievals from Remote Sensing

Sea Surface Temperature Retrievals from Remote Sensing
Author: Jorge Vazquez
Publisher: MDPI
Total Pages: 341
Release: 2019-02-14
Genre: Chemistry
ISBN: 303897479X

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This book is a printed edition of the Special Issue "Sea Surface Temperature Retrievals from Remote Sensing" that was published in Remote Sensing


Satellite-Derived Sea Surface Temperature

Satellite-Derived Sea Surface Temperature
Author: Jet Propulsion Laboratory (U.S.)
Publisher:
Total Pages: 158
Release: 1984
Genre: Artificial satellites
ISBN:

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Development and Use of Satellite-derived Sea-surface Temperature Data for the Nearshore North Pacific and Arctic Oceans

Development and Use of Satellite-derived Sea-surface Temperature Data for the Nearshore North Pacific and Arctic Oceans
Author: Meredith C. Payne
Publisher:
Total Pages: 111
Release: 2012
Genre: Advanced very high resolution radiometers
ISBN:

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The quantification and description of sea surface temperature (SST) is critically important because it can influence the distribution, migration, and invasion of marine species; furthermore, SSTs are expected to be affected by climate change. Recent research indicates that there has been a warming trend in ocean temperatures over the last 50 years. Hence, we sought to identify and demonstrate how a particularly germane SST dataset can be used within the scope of global climate change research. For this project we assembled a 29-year nearshore time series of mean monthly SSTs along the North Pacific coastline, as well as mean monthly SSTs for ice-free regions of the Arctic, using remotely-sensed satellite data collected with the Advanced Very High Resolution Radiometer (AVHRR) instrument. By providing detailed information concerning both dataset generation and data limitations, we aimed to make these data comprehensible to an expanded audience concentrating on life sciences rather than the traditionally physical science-based community. Furthermore, by making these data freely and publically available in multiple formats, including GIS (geographic information systems) layers, we expand their visibility and the extent of their use. We then used the dataset to describe SST patterns of nearshore (