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  • Accumulation of snow; Area/locality; DATE/TIME; Deline_MS; Event label; Hay_River_MS; International Polar Year (2007-2008); IPY; Latitude of event; Longitude of event; Northwest Territories, Canada; Temperature, coldest month; Temperature, warmest month; Weather station/meteorological observation; WST; Yellowknife_MS  (1)
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    PANGAEA
    In:  Supplement to: Kang, Kyung-Kuk; Duguay, Claude R; Howell, Stephen E L; Derksen, Chris; Kelly, Richard E J (2010): Sensitivity of AMSR-E brightness temperatures to the seasonal evolution of lake ice thickness. IEEE Geoscience and Remote Sensing Letters, 7(4), 751-755, https://doi.org/10.1109/LGRS.2010.2044742
    Publication Date: 2023-12-13
    Description: The sensitivity of brightness temperature (T(B)) at 6.9, 10.7, and 18.7 GHz from Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) observations is investigated over five winter seasons (2002-2007) on Great Bear Lake and Great Slave Lake, Northwest Territories, Canada. The T(B) measurements are compared to ice thicknesses obtained with a previously validated thermodynamic lake ice model. Lake ice thickness is found to explain much of the increase of T(B) at 10.7 and 18.7 GHz. T(B) acquired at 18.7 GHz (V-pol) and 10.7 GHz (H-pol) shows the strongest relation with simulated lake ice thickness over the period of study (R**2 〉 0.90). A comparison of the seasonal evolution of T(B) for a cold winter (2003-2004) and a warm winter (2005-2006) reveals that the relationship between T(B) and ice growth is stronger in the cold winter (2003-2004). Overall, this letter shows the high sensitivity of T(B) to ice growth and, thus, the potential of AMSR-E mid-frequency channels to estimate ice thickness on large northern lakes.
    Keywords: Accumulation of snow; Area/locality; DATE/TIME; Deline_MS; Event label; Hay_River_MS; International Polar Year (2007-2008); IPY; Latitude of event; Longitude of event; Northwest Territories, Canada; Temperature, coldest month; Temperature, warmest month; Weather station/meteorological observation; WST; Yellowknife_MS
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
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