Potential of Advanced Microwave Sounding Unit-A (AMSU-A) and AMSU-B measurements for atmospheric temperature and humidity profiling over land
Potential of Advanced Microwave Sounding Unit-A (AMSU-A) and AMSU-B measurements for atmospheric temperature and humidity profiling over land
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DOI：
10.1029/2004jd005318
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发表时间：
2005-04-13
影响因子：
4.4
通讯作者：
Eymard, L
中科院分区：
文献类型：
--
作者：
Karbou, F;Aires, F;Eymard, L
[1] 神经网络反演方法已应用于研究 AMSU-A/ AMSU-B 陆地上的大气温度和湿度剖面能力。该反演方法受益于对陆地发射率和皮肤温度的可靠估计以及有关温度-湿度剖面的初步猜测信息。它已应用于大范围的地理区域（西经60度 - 东经60度，南纬60度 - 北纬60度）和大气情况（冬季和夏季）。检索到的温度和相对湿度的 RMS 误差分别在 2 K 和 9% 以内。无论扫描条件、植被类型和大气情况如何，算法反演结果对于温度和相对湿度都是令人满意的。通过与现有的现场测量进行比较，对检索方法进行了评估。
[1] A neural network retrieval method has been applied to investigate AMSU-A/ AMSU-B atmospheric temperature and humidity profiling capabilities over land. The retrieval method benefits from a reliable estimate of the land emissivity and skin temperature as well as first guess information regarding the temperature-humidity profiles. It has been applied on a large geographic area (60 degrees W - 60 degrees E, 60 degrees S - 60 degrees N) and atmospheric situations ( winter and summer). The retrieved RMS errors are within 2 K and 9% in temperature and relative humidity, respectively. Regardless of scanning conditions, vegetation types, and atmospheric situations, the algorithm retrieval results are satisfactory for both temperature and relative humidity. The retrieval approach has been evaluated by comparison with available in situ measurements.