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Estimation of Total Atmospheric Water Vapor Content Using MODIS Channels 31 and 32

机译:使用MODIS通道31和32估算总大气水汽含量

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摘要

A new approach for retrieval of the total atmospheric water vapor content (TAWV) based on the Moderate Resolution Imaging Spectrometer (MODIS) two thermal IR (TIR) channels (ch31 and ch32) is proposed. To developing the approach, the radiative transfer calculations are carried out using MODTRAN 4.0 combined with the latest global assimilated data, and the pixels contaminated by clouds are eliminated using cloud detection techniques. Total 6757 sets of atmospheric profiles are carefully selected. The relationship between the transmittance ratio at the two TIR channels and water vapor content is set up, with a third order polynomial of the transmittance ratio. Meanwhile, the split-window covariance-variance ratio (SWCVR) method is reviewed and the error caused by the assumptions for the method is analyzed. The new approach is tested with the MODIS data in North China region, and compared with the radiosonde data and MODIS official water vapor products. Compared the TAWV results estimated by our approach with the radiosonde data, the root-mean-square error (RMSE) is 0.39 g/cm~2. So the proposed approach is able to provide an estimation of the TAWV.
机译:提出了一种基于中等分辨率成像光谱仪(MODIS)两个热红外(TIR)通道(ch31和ch32)的大气总水汽含量(TAWV)检索新方法。为了开发该方法,使用MODTRAN 4.0结合最新的全球同化数据进行了辐射传输计算,并使用云检测技术消除了被云污染的像素。总共选择了6757套大气廓线。利用透射比的三阶多项式,建立两个TIR通道的透射比与水蒸气含量之间的关系。同时,回顾了分割窗口协方差-方差比(SWCVR)方法,并分析了该方法的假设所引起的误差。该新方法已在华北地区的MODIS数据上进行了测试,并与无线电探空仪数据和MODIS官方水蒸气产品进行了比较。将我们的方法估计的TAWV结果与探空仪数据进行比较,均方根误差(RMSE)为0.39 g / cm〜2。因此,所提出的方法能够提供TAWV的估计。

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