首页> 外文期刊>Atmospheric Measurement Techniques Discussions >Bias corrections of GOSAT SWIR XCOsub2/sub and XCHsub4/sub with TCCON data and their evaluation using aircraft measurement data
【24h】

Bias corrections of GOSAT SWIR XCOsub2/sub and XCHsub4/sub with TCCON data and their evaluation using aircraft measurement data

机译:利用TCCON数据对GOSAT SWIR XCO 2 和XCH 4 的偏差进行校正,并使用飞机测量数据进行评估

获取原文
获取外文期刊封面目录资料

摘要

We describe a method for removing systematic biases of column-averaged dry air mole fractions of COsub2/sub (XCOsub2/sub) and CHsub4/sub (XCHsub4/sub) derived from short-wavelength infrared (SWIR) spectra of the Greenhouse gases Observing SATellite (GOSAT). We conduct correlation analyses between the GOSAT biases and simultaneously retrieved auxiliary parameters. We use these correlations to bias correct the GOSAT data, removing these spurious correlations. Data from the Total Carbon Column Observing Network (TCCON) were used as reference values for this regression analysis. To evaluate the effectiveness of this correction method, the uncorrected/corrected GOSAT data were compared to independent XCOsub2/sub and XCHsub4/sub data derived from aircraft measurements taken for the Comprehensive Observation Network for TRace gases by AIrLiner??(CONTRAIL) project, the National Oceanic and Atmospheric Administration??(NOAA), the US Department of Energy??(DOE), the National Institute for Environmental Studies??(NIES), the Japan Meteorological Agency??(JMA), the HIAPER Pole-to-Pole observations??(HIPPO) program, and the GOSAT validation aircraft observation campaign over Japan. These comparisons demonstrate that the empirically derived bias correction improves the agreement between GOSAT XCOsub2/sub/XCHsub4/sub and the aircraft data. Finally, we present spatial distributions and temporal variations of the derived GOSAT biases.
机译:我们描述了一种消除CO 2 (XCO 2 )和CH 4 (XCH < sub> 4 )源自温室气体观测卫星(GOSAT)的短波红外(SWIR)光谱。我们在GOSAT偏差与同时获取的辅助参数之间进行相关分析。我们使用这些相关性对GOSAT数据进行校正,以消除这些虚假的相关性。来自总碳柱观测网络(TCCON)的数据用作该回归分析的参考值。为了评估此校正方法的有效性,将未经校正/校正的GOSAT数据与从飞机综合观测网络获取的独立XCO 2 和XCH 4 数据进行了比较。 AIrLiner(CONTRAIL)项目,美国国家海洋和大气管理局(NOAA),美国能源部(DOE),国家环境研究所(NIES),日本气象厅的痕量气体(JMA),HIAPER极对地观测(HIPPO)计划以及对日本进行的GOSAT验证飞机观测活动。这些比较表明,根据经验得出的偏差校正可以改善GOSAT XCO 2 / XCH 4 与飞机数据之间的一致性。最后,我们介绍了导出的GOSAT偏差的空间分布和时间变化。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号