南京大学学报(自然科学版) ›› 2010, Vol. 46 ›› Issue (3): 305316.
王晨曦 1 , 郁 凡 1 , 张成伟 1 ,2
Wang Chen 2 Xi 1 , Yu Fan 1 , Zhang Cheng 2 Wei 1 , 2
摘要: 本文应用单位特征空间归类方法进行了 MTSAT 多光谱卫星图像降水强度场的反演研究 . 该方法将 MTSAT 多光谱卫星测值与 2007 年华东地区梅雨季节高密度地面站实测小时降水率结合起来 ,
进行协同分析 , 较好的确定了各降水概率和降水强度等级在不同的二维光谱特征空间的分布特点 . 在此基础上 , 分别建立了相应的不同光谱组合的降水概率和降水强度类属矩阵用于全天时的连续降水监测 :
白天利用 IR1(10. 3 ~ 11. 3 μ m) 、 IR3 (6. 5 ~ 7. 0 μ m) 、 VIS(0. 55 ~ 0. 90 μ m) ; 夜间利用 IR1 、 IR3 、 IR4 (3. 5 ~ 4. 0 μ m) 以及亮温差 (BTD) 资料 , 即 IR24(IR4 - IR2) 来构建降水概率和强度类属矩阵 . 对比实测
降水资料和反演结果 , 发现 20 % 的降水概率可较好的划分降水区与非降水区 ; 降水强度等级的分析也基本与实况有较好的匹配 . 但是 , 卫星进行的是每小时一次的瞬时观测 , 雨量计是一小时雨量的累计。
这两种观测方式的不同是产生比较误差的重要原因 .
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