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Study of Ozone Retrieval with MODIS Data based on Infrared Spectrum Match Method

机译:基于红外光谱匹配法的MODIS数据反演臭氧的研究

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摘要

MODIS, a moderate-resolution imaging spectroradiometer instrument on board EOS-AM1 and PM1, has 36 spectral bands amongst which only 9.6 μm band sensitively traces atmospheric ozone. To produce total ozone inversion, one requirement is via temperature and pressure profiles, a popular requirement of mass-calculation which could now be argued not a literally convenient idea. Thus, in this paper I try my hand at a new method through firstly, overall bands' correlative statistics and analysis based on MODIS high-precision data source in spectral radiation, to materialize "similar TRIPLET" spectral data combination method. Then it comes to us a need to attain a solid cooperative optimization, and thirdly with forgoing output a process is introduced here of spectrum differential calculation leading to final total ozone inversion.
机译:MODIS是EOS-AM1和PM1板上的中分辨率成像光谱仪,具有36个光谱带,其中只有9.6μm光谱带灵敏地跟踪大气臭氧。为了产生总的臭氧转化率,一个要求是通过温度和压力曲线,这是一种普遍的质量计算要求,现在可以说这不是一个字面上方便的想法。因此,本文首先尝试一种新方法,即基于光谱辐射中基于MODIS高精度数据源的全波段相关统计和分析,以实现“相似的TRIPLET”光谱数据组合方法。然后,我们需要获得可靠的协同优化,第三,在放弃输出的情况下,这里介绍了一种频谱微分计算方法,最终实现了总臭氧转化。

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