Automated ice-sheet snowmelt detection using microwave radiometer measurements

Monitoring ice-sheet snowmelt is fundamental to understanding global climate change. A simple and automated snowmelt detection process is critical to the establishment of an ice-sheet snowmelt monitoring system. However, different ice-sheet snowmelt detection methods are based on a variety of thresh...

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Bibliographic Details
Published in:Polar Research
Main Authors: Lei Liang, Huadong Guo, Xinwu Li, Xiao Cheng
Format: Article in Journal/Newspaper
Language:English
Published: Norwegian Polar Institute 2013
Subjects:
geo
Online Access:https://doi.org/10.3402/polar.v32i0.19746
https://doaj.org/article/76ff19dd7c9747c785a41bf5d56bbe9e
Description
Summary:Monitoring ice-sheet snowmelt is fundamental to understanding global climate change. A simple and automated snowmelt detection process is critical to the establishment of an ice-sheet snowmelt monitoring system. However, different ice-sheet snowmelt detection methods are based on a variety of thresholding schemes using different melt signals for dry and wet snow; these complicate the regular operation of an ice-sheet snowmelt monitoring. We propose an automated melt signal detection method developed using melt signals derived from the cross-gradient polarization ratio snowmelt detection method over Greenland and the wavelet transformation-based snowmelt detection method over Antarctica. Initial results indicate that the proposed method not only increases computational efficiency, practicability and operability but is also more accurate.