Automated ice-sheet snowmelt detection using microwave radiometer measurements

  • Lei Liang
  • Huadong Guo
  • Xinwu Li
  • Xiao Cheng
Keywords: Ice sheet, snowmelt detection, radiometer, cross-gradient polarization ratio, wavelet transformation, generalized Gaussian model

Abstract

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

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Published
2013-12-27
How to Cite
Liang, L., Guo, H., Li, X., & Cheng, X. (2013). Automated ice-sheet snowmelt detection using microwave radiometer measurements. Polar Research, 32. https://doi.org/10.3402/polar.v32i0.19746
Section
Research/review articles