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AMSR-E algorithm for snowmelt onset detection in sub-arctic heterogeneous terrain

机译:亚北极非均质地形中融雪开始检测的AMSR-E算法

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The onset of snowmelt in the upper Yukon River basin, Canada, can be derived from brightness temperatures (T_b) obtained by the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) on NASA's Aqua satellite. This sensor, with a resolution of 14 x 8 km~2 for the 36.5 GHz frequency, and two to four observations per day, improves upon the twice-daily coverage and 37 x 28 km~2 spatial resolution of the Special Sensor Microwave Imager (SSM/I). The onset of melt within a snowpack causes an increase in the average daily 36.5 GHz vertically polarized T_b as well as a shift to high diurnal amplitude variations (DAV) as the snow melts during the day and re-freezes at night. The higher temporal and spatial resolution makes AMSR-E more sensitive to sub-daily T_b oscillations, resulting in DAV that often show a greater daily range compared to SSM/I. Therefore, thresholds of T_b > 246 K and DAV > ±10 K developed for use with SSM/I have been adjusted for detecting the onset of snowmelt with AMSR-E using ground-based surface temperature and snowpack wetness relationships. Using newly developed thresholds of T_b > 252 K and DAV > ±18 K, AMSR-E derived snowmelt onset correlates well with SSM/I observations in the small subarctic Wheaton River basin through the 2004 and 2005 winter/spring transition. In addition, the onset of snowmelt derived from AMSR-E data gridded at a higher resolution than the SSM/I data indicates that finer-scale differences in elevation and land cover affect the onset of snowmelt and are detectable with the AMSR-E sensor. On the basis of these observations, the enhanced resolution of AMSR-E is more effective than SSM/I at delineating spatial and temporal snowmelt dynamics in the heterogeneous terrain of the upper Yukon River basin.
机译:加拿大育空河上游流域的融雪可以从美国宇航局Aqua卫星上的EOS先进微波扫描辐射仪(AMSR-E)获得的亮度温度(T_b)得到。该传感器在36.5 GHz频率下的分辨率为14 x 8 km〜2,每天观察2至4次,改进了特殊传感器微波成像仪的每日两次覆盖和37 x 28 km〜2的空间分辨率( SSM / I)。积雪内部融雪的开始会导致平均每日36.5 GHz垂直极化T_b的增加,并导致白天融化并在夜间重新冻结时转换为高的昼夜振幅变化(DAV)。较高的时间和空间分辨率使AMSR-E对次日T_b振荡更加敏感,从而导致DAV与SSM / I相比通常显示出更大的日范围。因此,已针对与SSM / I配合使用而开发的T_b> 246 K和DAV>±10 K的阈值已进行了调整,以使用基于地面的表面温度和积雪堆湿度关系来检测AMSR-E融雪的开始。利用新开发的T_b> 252 K和DAV>±18 K的阈值,AMSR-E产生的融雪开始与2004年和2005年冬季/春季过渡期间小亚冰河地区惠顿河流域的SSM / I观测值很好地相关。此外,以比SSM / I数据更高的分辨率网格化的AMSR-E数据得出的融雪开始,表明高程和土地覆盖的较小尺度差异会影响融雪的开始,并且可以通过AMSR-E传感器检测到。基于这些观察,在描绘育空河上游非均质地形的空间和时间融雪动力学方面,AMSR-E的增强分辨率比SSM / I更有效。

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