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Title: Temporal change in the extinction coefficient of snow on the Greenland ice sheet from an analysis of Seasat and Geosat altimeter data

Journal Article · · IEEE Transactions on Geoscience and Remote Sensing
DOI:https://doi.org/10.1109/36.536522· OSTI ID:404378
 [1]
  1. Univ. of Missouri, Kansas City, MO (United States). Dept. of Electrical and Computer Engineering

The extinction coefficient of snow k{sub e} along the central portion of the Greenland ice sheet is mapped using data from the Seasat (1978) and Geosat (1985-1989) altimeters. The extinction coefficient is obtained by fitting altimeter waveforms with a surface/volume scattering model. The authors find that in the lower latitudes the Seasat and Geosat extinction coefficients are very nearly the same, while in a specific higher latitude region of the ice sheet the Seasat K{sub e} values exceed the Geosat values by over 100%. By analyzing 18 months of the geosat data, the authors quantified the variability inherent in the extinction coefficient measurements. The results show that the observed temporal variation in the extinction coefficient from 1978 to 1985 is three times larger than the measured variability. This indicates that the average grain size of the near surface snow in this region may have decreased during the time span between the two altimeter datasets. The temporal change in extinction coefficient found in this study demonstrates the important contributions that time-series analysis of satellite datasets can make to the study of the polar ice sheets. In addition, these results have important implications for the study of long-term elevation change over the ice sheets using altimeter data. The study demonstrates that significant biases could be introduced into ice-sheet elevation change estimates because of temporal variations in the surface conditions of the ice sheet. Future investigations of ice-sheet mass balance using altimetry data should be aware of this possibility.

OSTI ID:
404378
Journal Information:
IEEE Transactions on Geoscience and Remote Sensing, Vol. 34, Issue 5; Other Information: PBD: Sep 1996
Country of Publication:
United States
Language:
English

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