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The impact of patchy snow coverage on snow water equivalent estimates derived from passive microwave brightness temperatures over a prairie environment

机译:在大草原环境中源于被动微波亮度温度的污染雪覆盖对雪水等同估计的影响

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Considerable seasonal and inter-annual variation in the physical properties and extent of snow cover pose problems for obtaining reliable estimates of quantities and characteristics of snow cover both from conventional and satellite measurements. In spite of these challenges, the Climate Research Branch of the Meteorological Service of Canada (MSC) has developed a suite of algorithms to derive SWE estimates from remotely sensed passive microwave imagery. These algorithms work particularly well over open prairie environments under the assumption of large areas of consistent snow cover. While studies have documented underestimation in passive microwave estimates of snow extent in marginal areas when compared to optical satellite data, the accuracy in SWE retrievals under variable and patchy snow conditions is not well understood.
机译:在常规和卫星测量中获得可靠估计的雪覆盖物理性质和雪覆盖的相当季节性和年间变化,从而获得了常规和卫星测量的可靠估计雪覆盖的数量和特征。尽管存在这些挑战,加拿大气象服务的气候研究分支(MSC)开发了一套算法,可以从远程感知的被动微波图像中获得SWE估计。这些算法在持续一致的雪覆盖的大面积之下,在开放的大草原环境中特别好。虽然研究在与光学卫星数据相比,在边际区域中的雪程度的被动微波估计中记录了低估了,但在可变和差别的雪条件下的SWE检索的准确性并不了解。

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