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Passive microwave in situ measurements over snow covered Siberian sea ice compared with SSM/I

机译:与SSM / I相比,雪覆盖了西伯利亚海冰的被动微波炉覆盖了西伯利亚海冰

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Snow on sea ice affects the energy and mass balance of sea ice on seasonal and synoptic scales and is, with its high albedo, responsible for a net cooling effect on global climate. To quantify the distribution of snow on a large scale satellitebased measurements are necessary. To determine the influence of snow on the passive microwave signal snow thickness measurements and brightness temperatures at 11, 21 and 35 GHz with different incidence angles and polarizations were performed over sea ice in the Kara and Laptev Sea during the Arctic expedition ARK-12 of R.V. Polarstern in September 1996. Comparison of in situ data with two emissivity models including one based on the Combined Radiative Transfer -Strong Fluctuation Theory show that themost important influence on the spaceborne passive microwave signal in the Siberian Arctic is scattering in the snow while the outliers can be explained by absorption in the snow due to high free water content at temperatures near 0°C. The brightnesstemperature gradient ratio of the vertically polarized 19 and 37 GHz channels is used to derive a retrieval algorithm for the snow thickness from SSM/I data. Its sample application to the whole Arctic shows an increase of snow thickness with latitude inaccordance with measurements from Russian drifting stations.
机译:海冰上的雪地影响了季节性和舞蹈鳞片上海冰的能量和质量平衡,并具有它的高反照会,负责对全球气候的净冷却效果。为了量化大规模的雪地积雪,是必要的。为了确定积雪对被动微波信号的影响,在R.V的北极探险ARK-12期间,在Kara和LakeDe海中的海冰中进行了11,21和35GHz,在11,21和35GHz下,在Kara和Laptev海海中进行了亮度温度。 1996年9月偏光。与两个发射率模型的原位数据的比较,包括基于组合的辐射转移-strong波动理论表明,在西伯利亚北极地区的星球北极地区的总是对星球的无源微波信号的重要影响是在雪中散射而异常通过在0℃附近的温度下的高温含水含量,在雪中吸收来解释。垂直偏振19和37GHz通道的亮度测定梯度比用于从SSM / I数据导出用于雪厚的检索算法。其对整个北极的样本应用表明,俄罗斯漂移站的测量值不起抗雪地厚度的增加。

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