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首页> 外文期刊>Journal of hydrometeorology >Merging conventional (1915-92) and passive microwave (1978-2002) estimates of snow extent and water equivalent over central North America
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Merging conventional (1915-92) and passive microwave (1978-2002) estimates of snow extent and water equivalent over central North America

机译:合并常规(1915-92)和无源微波(1978-2002)估计北美中部地区的降雪量和水当量

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摘要

A detailed evaluation of snow water equivalent (SWE) and snow cover extent ( SCE) derived using the combined Scanning Multichannel Microwave Radiometer (SMMR) and Special Sensor Microwave Imager (SSM/I) brightness temperature records for the 1978 - 2002 period was carried out for a longitudinal transect in the continental interior of North America. Comparison with in situ SWE observations showed that the SMMR brightness temperature adjustments are required to produce SWE retrievals with similar bias and rmse as observed during the SSM/I period. Underestimation of SCE in the passive microwave dataset ( relative to NOAA snow charts) was identified as a systematic problem, most pronounced in early winter and during seasons with above-average snow extent. The passive microwave data were successfully merged with historical data based on strong interdataset agreement for a 1978 - 92 overlap period. Analysis of SWE and SCE time series for the months of December through March 1915 - 2002 provided information on SWE and SCE variability over the interior of North America, but yielded no evidence of significant trends in either variable over the 88-yr period. Anomalies observed during the relatively recent period of passive microwave data acquisition did not exceed the range of anomalies observed in the historical data record.
机译:使用组合的扫描多通道微波辐射计(SMMR)和特殊传感器微波成像仪(SSM / I)的1978-2002年期间的雪水当量(SWE)和雪盖程度(SCE)进行了详细评估。在北美大陆内部的纵向剖面。与原位SWE观测值的比较表明,需要进行SMMR亮度温度调整,以产生具有与SSM / I期间观察到的相似的偏置和均方根值的SWE取回。被动微波数据集中SCE的低估(相对于NOAA降雪图)被认为是系统性问题,在初冬和降雪幅度高于平均水平的季节最为明显。基于强大的数据集间协议,在1978年至92年的重叠期间,无源微波数据已成功与历史数据合并。对SWE和SCE时间序列的分析(从1915年至2002年3月)提供了北美内部SWE和SCE变异性的信息,但没有提供任何证据表明这88年期间两个变量的显着趋势。在被动微波数据采集的相对较新时期内观察到的异常未超出历史数据记录中观察到的异常范围。

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