ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the OCFP (UoL-FP) algorithm (CH4_GOS_OCFP), version 2.1

The CH4_GOS_OCFP dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT), using the University of Leicester Full-Physics Retrieval Algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version is version 2.1 and forms part of the Climate Research Data Package 4.

The University of Leicester Full-Physics Retrieval Algorithm is based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and has been modified for use on GOSAT spectra. A second GOSAT CH4 product, generated using the SRFP algorithm, is also available.

The XCH4 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further information, including details of the OCFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG).

CH4_GOS_OCFP 数据集由二级、按列平均的干燥空气甲烷摩尔分数（混合比）组成，简称 XCH4。该数据集通过利用日本温室气体观测卫星（GOSAT）上的热近红外传感器（TANSO-FTS）NIR 和 SWIR 光谱获取的数据，采用莱斯特大学完整物理反演算法生成。该算法作为欧洲空间局（ESA）温室气体气候变化倡议（GHG_cci）项目的一部分而生成。本版本为 2.1 版，是气候研究数据包 4 的组成部分。
莱斯特大学完整物理反演算法基于原始轨道碳观测卫星（OCO）完整物理反演算法，并经过修改以适应 GOSAT 光谱。另外，还有一个使用 SRFP 算法生成的第二个 GOSAT 甲烷产品可供使用。
XCH4 产品以 NetCDF 格式存储，所有 GOSAT 在单日内的探测数据存储在一个文件中。有关 OCFP 算法和 TANSO-FTS 仪器的详细信息，请参阅相关产品用户指南（PUG）。