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Validation of XCH4 derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data

机译:利用飞机测量数据验证从GOSAT TANSO-FTS的SWIR光谱得出的XCH4

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摘要

Column-averaged dry-air mole fractions of methane (XCH), retrievedfrom Greenhouse gases Observing SATellite (GOSAT) short-wavelength infrared(SWIR) spectra, were validated by using aircraft measurement data from theNational Oceanic and Atmospheric Administration (NOAA), the US Departmentof Energy (DOE), the National Institute for Environmental Studies (NIES),the HIAPER Pole-to-Pole Observations (HIPPO) program, and the GOSATvalidation aircraft observation campaign over Japan. In the calculation ofXCH from aircraft measurements (aircraft-based XCH), othersatellite data were used for the CH profiles above the tropopause. Weproposed a data-screening scheme for aircraft-based XCH for reliablevalidation of GOSAT XCH. Further, we examined the impact of GOSAT SWIRcolumn averaging kernels (CAK) on the aircraft-based XCH calculationand found that the difference between aircraft-based XCH with andwithout the application of the GOSAT CAK was less than ±9 ppb atmaximum, with an average difference of −0.5 ppb. We compared GOSAT XCH Ver. 02.00 data retrieved within ±2° or ±5° latitude–longitude boxes centered ateach aircraft measurement site with aircraft-based XCH measured on aGOSAT overpass day. In general, GOSAT XCH was in good agreement withaircraft-based XCH. However, over land, the GOSAT data showed apositive bias of 1.5 ppb (2.0 ppb) with a standard deviation of 14.9 ppb(16.0 ppb) within the ±2° (±5°) boxes,and over ocean, the average bias was 4.1 ppb (6.5 ppb) with a standarddeviation of 9.4 ppb (8.8 ppb) within the ±2° (±5°) boxes. In addition, we obtained similar results when we usedan aircraft-based XCH time series obtained by curve fitting withtemporal interpolation for comparison with GOSAT data.
机译:使用美国国家海洋和大气管理局(NOAA)的飞机测量数据验证了从温室气体观测卫星(GOSAT)短波红外(SWIR)光谱中获取的甲烷的平均柱干空气摩尔分数(XCH)。能源部(DOE),国家环境研究所(NIES),HIAPER极对极观测(HIPPO)计划以及GOSATvalidation飞机在日本的观测活动。在根据飞机测量值(基于飞机的XCH)计算XCH时,将其他卫星数据用于对流层顶上方的CH剖面。我们提出了一种基于飞机的XCH数据筛选方案,用于GOSAT XCH的可靠验证。此外,我们检查了GOSAT SWIR列平均内核(CAK)对基于飞机的XCH计算的影响,发现使用和不使用GOSAT CAK的飞机XCH之间的差异最大小于±9 ppb,平均差异为-0.5 ppb。我们比较了GOSAT XCH Ver。 02.00数据在每个飞机测量点的中心在±2°或±5°的经纬度框中检索,并在GOSAT立交日对基于飞机的XCH进行了测量。总体而言,GOSAT XCH与基于飞机的XCH非常吻合。但是,在陆地上,GOSAT数据显示正偏差为1.5 ppb(2.0 ppb),在±2°(±5°)范围内的标准偏差为14.9 ppb(16.0 ppb),在海洋上,平均偏差为4.1 ppb(6.5 ppb),在±2°(±5°)方框内的标准偏差为9.4 ppb(8.8 ppb)。另外,当我们使用通过时间插值的曲线拟合获得的基于飞机的XCH时间序列与GOSAT数据进行比较时,我们获得了相似的结果。

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