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Retrievals of atmospheric CO_2, CH_4, and optical path modifications from the GOSAT observations

机译:从GOSAT观察中检索大气CO_2,CH_4和光路修改

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We present satellite-based data of the column-averaged dry air mole fraction of atmospheric carbon dioxide (XCO_2) and methane (XCH_4), which were derived from the radiance spectra measured by Greenhouse gases Observing SATellite (GOSAT). We have applied new version of the Photon path-length Probability Density Function (PPDF)-based algorithm to estimate XCO_2 and PPDF parameters. These parameters serve to allow for optical path modification due to atmospheric light scattering and they are retrieved simultaneously with CO_2 concentration using radiance spectra from all available GOSAT short wave infrared (SWIR) bands (oxygen A-band, 1.6-μm, and 2.0-μm CO_2 absorption bands). For the methane abundance, retrieved from 1.67-μm absorption band, we applied optical path correction based on PPDF parameters from 1.6-μm CO_2 absorption band. Similarly to widely used CO_2-proxy technique, this correction assumes identical light path modifications in 1.67-μm and 1.6-μm bands. This approach is believed to offer some advantages over the proxy technique since it does not use any prior assumptions on carbon dioxide concentrations. Both carbon dioxide and methane GOSAT retrievals were validated using ground-based Fourier Transform Spectrometer (FTS) measurements provided by the Total Carbon Column Observing Network (TCCON). For XCO_2 retrievals we found sub-ppm station-to-station bias (GOSAT versus TCCON); single-scan precision of mostly below 2 ppm (0.5%); and correlation coefficient for the Northern Hemisphere TCCON stations above 0.8. For XCH4 retrievals over TCCON sites we found single-scan precision below 1 % and correlation coefficient above 0.8.
机译:我们呈现基于卫星基于柱平均的干燥空气摩尔分数的卫星数据,其大气二氧化碳(XCO_2)和甲烷(XCH_4),其衍生自由温室气体观察卫星(Gosat)测量的辐射谱。我们已经应用了光子路径长度的概率密度函数(PPDF)为基础的算法来估计XCO_2和PPDF参数的新版本。这些参数用于允许由于大气光散射引起的光路修改,并且使用来自所有可用的Gosat短波红外(Surir)带(氧气A带,1.6μm和2.0μm的Radiance Spectra同时检索它们CO_2吸收带)。对于甲烷丰度,从1.67微米吸收带检索,我们基于从1.6微米CO_2吸收带PPDF参数施加光程校正。与广泛使用的CO_2-PRXY技术类似,该校正在1.67-μm和1.6μm频带中呈现相同的光路修改。这种方法被认为是通过代理技术提供一些优点,因为它不使用任何现有的二氧化碳浓度假设。使用由总碳柱观察网络(TCCON)提供的基于地基的傅里叶变换光谱仪(FTS)测量来验证二氧化碳和甲烷GOSAT检索。对于XCO_2检索,我们发现子PPM站到站偏置(GOSAT与TCCON);单扫描精度大部分低于2 ppm(0.5%);与0.8以上的北半球TCCON站的相关系数。对于TCCON站点的XCH4检索,我们发现单扫描精度低于1%,相关系数高于0.8。

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