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The accuracy of snow melt-off day derived from optical and microwave radiometer data - A study for Europe

机译:光学和微波辐射计数据源自光学和微波辐射计数据的精度 - 欧洲研究

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This paper describes the methodology for deriving yearly pixel-wise snow melt-off day maps from optical data based FSC (Fractional Snow Cover) without conducting any interpolation for cloud-obscured pixels or otherwise missing data. The Copernicus CryoLand Pan-European FSC time series for 2001-2016 re-gridded to 0.1 degrees serves as input for the production of 16 years of melt-off day maps for Europe. These maps are compared with passive microwave radiometer (MWR) melt retrievals, to compare the performance of these two independent datasets, particularly concerning the effect of physiographic and snow conditions on the accuracy of the melt-off day estimates. Both these datasets are evaluated against melt-off day derived from in situ snow depth (SD) time series observed at European weather stations. We also present the relationship of these snow melt-off day products to a passive microwave radiometer-derived landscape freeze/thaw product.
机译:本文介绍了从基于光学数据的FSC(分数雪覆盖)从基于光学数据(分数雪覆盖)导出的每年像素 - 明智的雪熔体日地图的方法。 2001-2016的哥白尼龙舌兰泛欧欧洲FSC时间序列重新包装到0.1度,作为为欧洲生产16年的融合日地图的投入。 这些地图与被动微波辐射计(MWR)熔体检索进行比较,以比较这两个独立数据集的性能,特别是关于地理学和雪条件对熔体截止日估计的准确性的影响。 这两个数据集都是针对在欧洲气象站观察到的原位雪深度(SD)时间序列中衍生的熔融日评估。 我们还将这些雪熔化日产品与被动微波辐射计源极景观冻结/解冻产品的关系。

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