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北极一年海冰表面积雪深度遥感反演与时序分析
引用本文:庞小平,刘清全,季青.北极一年海冰表面积雪深度遥感反演与时序分析[J].武汉大学学报(信息科学版),2018,43(7):971-977.
作者姓名:庞小平  刘清全  季青
作者单位:1.武汉大学中国南极测绘研究中心, 湖北 武汉, 430079
基金项目:国家重点研发计划2016YFC1402704国家自然科学基金41576188国家自然科学基金41606215国家海洋局海洋大气化学与全球变化重点实验室开放基金GCMAC1504南北极环境综合考察与评估专项基金CHINARE2016-04-07
摘    要:北极海冰表面的积雪深度是重要的地球物理变量, 是研究物质与能量平衡、计算海冰厚度的重要参数。为减小不同被动微波传感器观测数据的系统误差, 对国防气象卫星计划(Defense Meteorological Satellite Program, DMSP)F17-SSMIS与F13-SSM/I重叠期亮度温度数据进行交叉定标, 建立4个频段48个月尺度定标模型, 并与传统年尺度定标模型进行比较和优选, 在此基础上估算并分析2003-2014年北极一年海冰表面积雪深度变化。结果表明:19H、19V、22V、37V频段1~5月的月尺度模型决定系数高于传统年尺度拟合模型; 2003-2014年, 北极一年海冰表面积雪深度总体呈现下降趋势, 同时积雪深度存在明显的周期性变化, 每年7月积雪深度最小, 9月最大; 东西伯利亚海、拉普捷夫海和巴伦支海海冰表面积雪深度呈现减少的趋势。

关 键 词:积雪深度    变化分析    交叉定标    北极海冰    SSM/I-SSMIS
收稿时间:2017-03-14

Retrieval and Analysis of Snow Depth on Arctic First-Year Sea Ice
Affiliation:1.Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China2.Collaborative Innovation Center for Territorial Sovereignty and Maritime Rights, Wuhan University, Wuhan 430072, China3.Key Laboratory of Polar Surveying and Mapping, National Administration of Surveying, Mapping and Geoinformation, Wuhan 430079, China
Abstract:The snow depth on the Arctic sea ice is not only a significant geophysical variable, but also an important parameter for the study of mass and energy balance, calculating sea ice thickness.To reduce the systematic error from different passive microwave sensor, we calibrated brightness temperature data obtained from the DMSP F17-SSMIS and F13-SSM/I during the overlap period.Forty-eight calibration models at the monthly scale were built up and compared with traditional calibration model at the yearly scale, which formed the basis for the snow depth retrieval and analysis on the Arctic first-year sea ice from 2003 to 2014.The results show that the correlation coefficients of the monthly fitting models of 19H, 19V, 22V, 37V channels are higher than the traditional model from January to May.Based on the calibrated satellite observation data, there is a general decline trend of snow depth on the Arctic first-year sea ice from 2003 to 2014, with the East Siberia Sea, the Laptev Sea and the Barents Sea decreasing obviously during the study period.
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