【摘要】 利用北疆地区2009-2010年积雪季(12-2月)AMSR_E降轨数据19GHz与37GHz波段的水平极化亮温数据,结合北疆地区60个气象台站的实测雪深数据,建立了北疆地区基于AMSR_E亮度温度数据的雪深反演模型。对模型精度进行评价,结果显示:雪深在3-10cm时,模型反演的雪深值负向平均误差为-4.8cm,RMSE值为4.1cm;雪深在11-30cm时,模型反演雪深值的平均误差仅为-0.2cm,RMSE、正向平均误差、绝对平均误差均较小;雪深大于30cm时,模型反演的雪深值负向平均误差较小,其他各项误差较大。与实测值进行对比,模拟结果同台站观测情况基本一致。更多还原

【Abstract】 Combining AMSR_E 19GHz and 37GHz bands horizontal polarization brightness temperature data with the measured data of 60 meteorological stations in Northern Xinjiang in snow season(December-February),2009-2010 the snow depth retrieval model in Northern Xinjiang was established based on AMSR_E brightness temperature data.The precision of the model was evaluated,and the result shows the negative average error of retrieval snow depth is-4.8cm when snow depth was between 3 and 10cm,and RMSE is 4.1cm.When snow depth was between 11 and 30cm,the average error of retrieval snow depth is only-0.2cm,and its RMSE,positive average error,absolute average error are all less.When snow depth was larger than 30cm,the negative average error of retrieval snow depth is small,but other errors were larger.By comparing the retrieval snow depth with the observed data,the simulation results are substantial agreement with observation of meteorological station in Northern Xinjiang.It basically reflects the snow depth distribution in Northern Xinjiang.Comparing Chang algorithm to the retrieval model in this paper,it is superior to Chang algorithm,and can reflect snow depth variation characteristics in Northern Xinjiang.更多还原