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 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.
Keywords: Ice sheet; snowmelt detection; radiometer; cross-gradient polarization ratio; wavelet transformation; generalized Gaussian model.
(Published: 27 December 2013)
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Citation: Polar Research 2013, 32, 19746, http://dx.doi.org/10.3402/polar.v32i0.19746
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 Unported License.
Authors retain copyright of their work, with first publication rights granted to the Norwegian Polar Institute.