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Remote Sensing of the North American Laurentian Great Lakes’ Surface Temperature Público Deposited

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https://scholar.colorado.edu/concern/articles/zs25x897v
Abstract
  • The Great Lakes Surface Temperature (GLST) is the key to understanding the effects of climate change on the Great Lakes (GL). This study provides the first techniques to retrieve pixel-based GLST under all sky conditions by merging skin temperature derived from the MODIS Land Surface Temperature (MOD11L2) and the MODIS Cloud product (MOD06L2) from 6 July 2001 to 31 December 2014, resulting in 18,807 scenes in total 9373 (9434) scenes for MOD11L2 (MOD06L2). The pixel-based GLST under all sky conditions was well-correlated with the in situ observations (R2 = 0.9102) with a cool bias of −1.10°C and a root mean square error (RMSE) of 1.39°C. The study also presents the long-term trends of GLST. Contrary to expectations, it decreased slightly due to the impact of an anomalously cold winter in 2013–2014.

Creator
Date Issued
  • 2016-03-29
Academic Affiliation
Journal Title
Journal Issue/Number
  • 4
Journal Volume
  • 8
Editor
Subject
Última modificación
  • 2020-01-27
Resource Type
Declaración de derechos
DOI
ISSN
  • 2072-4292
Language

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