与SSM/I相比较的西伯利亚冰雪海冰被动微波原位测量

K. Johnsen, G. Heygster, A. Darovskikh
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引用次数: 0

摘要

海冰上的雪在季节和天气尺度上影响海冰的能量和质量平衡,并且由于其高反照率,对全球气候造成净冷却效应。要在大尺度卫星上量化雪的分布是必要的。为了确定积雪对被动微波信号的影响,在1996年9月R.V.北极星号ARK-12北极考察队的喀拉海和拉普捷夫海的海冰上进行了不同入射角和极化下11、21和35 GHz的雪厚和亮度温度测量。通过与两种发射率模型(包括基于辐射传输-强波动联合理论的发射率模型)的原位数据比较,表明西伯利亚北极地区星载被动微波信号最主要的影响因素是积雪中的散射,而异常值可以解释为在0/spl℃附近温度下,由于自由含水量高,积雪中的吸收可以解释。利用垂直极化19 GHz和37 GHz信道的亮度温度梯度比,推导了基于SSM/I数据的雪厚反演算法。它在整个北极地区的样本应用表明,与俄罗斯漂流站的测量结果一致,积雪厚度随纬度的增加而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Passive microwave in situ measurements over snow covered Siberian sea ice compared with SSM/I
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 satellite based 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 the most 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/spl deg/C. The brightness temperature 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 in accordance with measurements from Russian drifting stations.
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