Antarctic snow melt detection based on the synergy of SSM/I and QuikSCAT

Abstract Microwave radiometer SSM/I (Special Sensor Microwave Imager) data and scatterometer QuikSCAT (Quick Scatterometer) data have been widely used for near-surface snow melt detection based on their sensitivity to liquid water present in snow. The SSM/I data have high reliability and the QuikSCA...

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Bibliographic Details
Published in:Antarctic Science
Main Authors: Li, Xinwu, Wang, Xingdong, Wang, Cheng, Zhang, Lu
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2017
Subjects:
Geology
Ecology, Evolution, Behavior and Systematics
Oceanography
Antarctic
The Antarctic
Antarc*
Antarctic Science
Online Access:http://dx.doi.org/10.1017/s0954102017000268
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0954102017000268
Description
Summary:Abstract Microwave radiometer SSM/I (Special Sensor Microwave Imager) data and scatterometer QuikSCAT (Quick Scatterometer) data have been widely used for near-surface snow melt detection based on their sensitivity to liquid water present in snow. The SSM/I data have high reliability and the QuikSCAT data have high spatial resolution. In order to improve the accuracy of Antarctic near-surface snow melt detection, we propose a new method based on the synergy of SSM/I and QuikSCAT data, i.e. the snow melt physical model incorporates the complementary advantages of both datasets. Based on comparisons with temperature data from three automatic weather stations, the proposed algorithm improved the accuracy of snow melt detection. The algorithm could also be applied to other regions, which would provide further evidence to support its use and additional data to document changes in the Antarctic due to global climate change.

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