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Theoretical study of ice cover phenology at large freshwater lakes based on SMOS MIRAS data

机译:基于SMOS MIRAS数据的大型淡水湖泊冰盖物候学理论研究

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The paper presents a theoretical analysis of seasonal brightness temperature variations at a number of large freshwater lakes – Baikal, Ladoga, Great Bear Lake (GBL), Great Slave Lake (GSL), and Huron – retrieved from Microwave Imaging Radiometer with Aperture Synthesis (MIRAS) data (1.4?GHz) of the Soil Moisture and Ocean Salinity (SMOS) satellite. The analysis was performed using the model of microwave radiation of plane layered heterogeneous nonisothermal medium. The input parameters for the model were real regional climatological characteristics and glaciological parameters of ice cover of the study lakes. Three distinct seasonal brightness temperature time regions corresponding to different phenological phases of the lake surfaces: complete ice cover, ice melt and deterioration, and open water, were revealed. The paper demonstrates the possibility to determine the beginning of ice cover deterioration from satellite microwave radiometry data. The obtained results can be useful for setting the operating terms of winter crossings and roads on ice, since with the beginning of ice deterioration, these transportation routes across water bodies (rivers, lakes, water reservoirs) become insecure and cannot be used any more.
机译:本文介绍了许多大型淡水湖(贝加尔湖,拉多加湖,大熊湖(GBL),大奴湖(GSL)和休伦湖)的季节性亮度温度变化的理论分析,这些数据是从具有孔径合成的微波成像辐射计(MIRAS)中获得的)的数据(1.4?GHz)的土壤水分和海洋盐度(SMOS)卫星。使用平面层状非均质非等温介质的微波辐射模型进行分析。该模型的输入参数是研究湖泊的真实区域气候特征和冰川覆盖的冰川学参数。揭示了与湖面不同物候阶段相对应的三个不同的季节性亮度温度时间区域:完全的冰覆盖,冰的融化和退化以及开阔的水域。本文证明了从卫星微波辐射数据确定冰盖恶化开始的可能性。获得的结果可用于设定冬季过境和在冰上道路的运行条件,因为随着冰质恶化的开始,这些穿越水体(河流,湖泊,水库)的运输路线变得不安全,无法再使用。

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