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Validation of TANSO-FTS/GOSAT XCO2 and XCH4 glint mode retrievals using TCCON data from near-ocean sites

机译:使用来自近海站点的TCCON数据验证TANSO-FTS / GOSAT XCO2和XCH4闪烁模式检索

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摘要

The thermal And near infrared sensor for carbon observations Fourier transform spectrometer (TANSO-FTS) on board the Greenhouse Gases Observing Satellite (GOSAT) applies the normal nadir mode above the land (\u22land data\u22) and sun glint mode over the ocean (\u22ocean data\u22) to provide global distributions of column-averaged dry-air mole fractions of CO2 and CH4, or XCO2 and XCH4. Several algorithms have been developed to obtain highly accurate greenhouse gas concentrations from TANSO-FTS/GOSAT spectra. So far, all the retrieval algorithms have been validated with the measurements from ground-based Fourier transform spectrometers from the Total Carbon Column Observing Network (TCCON), but limited to the land data. In this paper, the ocean data of the SRPR, SRFP (the proxy and full-physics versions 2.3.5 of SRON/KIT\u27s RemoTeC algorithm), NIES (National Institute for Environmental Studies operational algorithm version 02.21) and ACOS (NASA\u27s Atmospheric CO2 Observations from Space version 3.5) are compared with FTIR measurements from five TCCON sites and nearby GOSAT land data. For XCO2, both land and ocean data of NIES, SRFP and ACOS show good agreement with TCCON measurements. Averaged over all TCCON sites, the relative biases of ocean data and land data are −0.33 and −0.13 % for NIES, 0.03 and 0.04 % for SRFP, 0.06 and −0.03 % for ACOS, respectively. The relative scatter ranges between 0.31 and 0.49 %. For XCH4, the relative bias of ocean data is even less than that of the land data for the NIES (0.02 vs. −0.35 %), SRFP (0.04 vs. 0.20 %) and SRPR (−0.02 vs. 0.06 %) algorithms. Compared to the results for XCO2, the XCH4 retrievals show larger relative scatter (0.65-0.81 %).
机译:温室气体观测卫星(GOSAT)上用于碳观测的热和近红外传感器傅里叶变换光谱仪(TANSO-FTS)在陆地上方应用正常的最低点模式(陆地数据),并在海洋上方应用阳光闪烁模式( (海洋数据)以提供CO2和CH4或XCO2和XCH4的列平均干空气摩尔分数的全局分布。已经开发了几种算法来从TANSO-FTS / GOSAT光谱中获得高度准确的温室气体浓度。到目前为止,所有检索算法均已通过总碳柱观测网络(TCCON)的地面傅立叶变换光谱仪的测量结果进行了验证,但仅限于土地数据。本文介绍了SRPR,SRFP(SRON / KIT \ u27s RemoTeC算法的代理版本和全物理版本2.3.5),NIES(国家环境研究所操作算法版本02.21)和ACOS(NASA \将来自空间版本3.5的u27s大气CO2观测值与来自五个TCCON站点的FTIR测量值和附近的GOSAT陆地数据进行了比较。对于XCO2,NIES,SRFP和ACOS的陆地和海洋数据均与TCCON测量结果吻合良好。对所有TCCON站点进行平均后,NIES的海洋数据和陆地数据的相对偏差分别为-0.33和-0.13%,SRFP为0.03和0.04%,ACOS为0.06和-0.03%。相对散射范围在0.31到0.49%之间。对于XCH4,海洋数据的相对偏差甚至小于NIES(0.02对-0.35%),SRFP(0.04对0.20%)和SRPR(-0.02对0.06%)算法的相对偏差。与XCO2的结果相比,XCH4的取回值显示出较大的相对散射(0.65-0.81%)。

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