The CH4_GOS_SRPR 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 RemoTeC SRPR Proxy Retrieval algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the data is version 2.3.8, and forms part of the Climate Research Data Package 4. This Proxy Retrieval product has been generated using the RemoTeC SRPR algorithm, which is being jointly developed at SRON and KIT. This has been designated as an 'alternative' GHG CCI algorithm, and a separate product has also been generated by applying the baseline GHG CCI proxy algorithm (the University of Leicester OCPR algorithm). It is advised that users who aren't sure whether to use the baseline or alternative product use the OCPR product generated with the baseline algorithm. For more information regarding the differences between the baseline and alternative algorithms please see the GHG-CCI data products webpage. The data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. As well as containing the key product, the product file contains information relevant for the use of the data, such as the vertical layering and averaging kernels. The parameters which are retrieved simultaneously with XCH4 are also included (e.g. surface albedo), in addition to retrieval diagnostics like quality of the fit and retrieval errors. For further details on the product, including the RemoTeC algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents.

• Data link
• Data link
• undefined
• 96d5b75ea29946c5aab8214ddbab252b

FEDEO Short Name: 96d5b75ea29946c5aab8214ddbab252b Version ID: NA Unique ID: C2548142712-FEDEO

The CO2_GOS_SRFP dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) for carbon dioxide (XCO2), from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). It has been produced using the RemoTeC Full Physics (SRFP) algorithm, v2.3.8, by the Greenhouse Gases Climate Change Initiative (GHG_cci) project. This forms part of the GHG_cci Climate Research Data Package Number 4 (CRDP#4).The RemoTeC Full Physics (SRFP) algorithm has been jointly developed at SRON and KIT. A second product, generated using the OCFP (University of Leicester Full Physics) algorithm, is also available, and is considered the GHG_cci baseline product, whilst the SRFP product forms an 'alternative' product. It is advised that users who aren't sure whether to use the baseline or alternative product use the OCFP product. For more information on the differences between baseline and alternative algorithms please see the Greenhouse Gases CCI data products webpage. The data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. The product file contains the key standard products, i.e. the retrieved column averaged dry air mixing ratio XCO2 with bias correction, averaging kernels and quality flags, as well as secondary products specific for the RemoTeC algorithm. For further information, including details of the SRFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Document.

• Data link
• Data link
• undefined
• e61704b00267405082fbd41bb710dd74

FEDEO Short Name: e61704b00267405082fbd41bb710dd74 Version ID: NA Unique ID: C2548143069-FEDEO

The TANSO-FTS instrument on-board GOSAT satellite features high optical throughput, fine spectral resolution, and a wide spectral coverage (from VIS to TIR in four bands). The reflective radiative energy is covered by the VIS and SWIR (Shortwave Infrared) ranges, while the emissive portion of radiation from Earth's surface and the atmosphere is covered by the MWIR (Midwave Infrared) and TIR (Thermal Infrared) ranges. These spectra include the absorption lines of greenhouse gases such as carbon dioxide (CO2) and methane (CH4). The TANSO-CAI instrument on-board GOSAT satellite is a radiometer in the spectral ranges of ultraviolet (UV), visible, and SWIR to correct cloud and aerosol interference. The imager has continuous spatial coverage, a wider field of view, and higher spatial resolution than the FTS in order to detect the aerosol spatial distribution and cloud coverage. Using the multispectral bands, the spectral characteristics of the aerosol scattering can be retrieved together with optical thickness. In addition, the UV-band range observations provide the aerosol data over land. With the FTS spectra, imager data, and the retrieval algorithm to remove cloud and aerosol contamination, the column density of the gases can be retrieved with an accuracy of 1%. The full ESA archive and newly acquired/systematically processed GOSAT FTS and CAI products are available in the following processing levels: • FTS Observation mode 1 L1B, day (FTS_OB1D_1) • FTS Observation mode 1 L1B, night (FTS_OB1N_1) • FTS Special Observation L1B, day (FTS_SPOD_1) • FTS Special Observation L1B, night (FTS_SPON_1) • FTS L2 CO2 profile, TIR (FTS_P01T_2) • FTS L2 CH4 profile, TIR (FTS_P02T_2) • FTS L2 CH4 column amount, SWIR (FTS_C02S_2) • FTS L2 CO2 column amount, SWIR (FTS_C01S_2) • FTS L2 H2O column amount, SWIR (FTS_C03S_2) • FTS L3 global CO2 distribution, SWIR (FTS_C01S_3) • FTS L3 global CH4 distribution, SWIR (FTS_C02S_3) • FTS L4A global CO2 flux, annual in text format (FTS_F01M4A) • FTS L4A global CO2 flux, annual in netCDF format (FTS_F03M4A) • FTS L4A global CO2 distribution (FTS_P01M4B) • FTS L4A global CH4 flux, annual in text format (FTS_F02M4A) • FTS L4A global CH4 flux, annual in netCDF format (FTS_F04M4A) • FTS L4A global CH4 distribution (FTS_P02M4B) • CAI L1B data (CAI_TRB0_1) • CAI L1B+ (CAI_TRBP_1) • CAI L2 cloud flag (CAI_CLDM_2) • CAI L3 global reflect. distrib. clear sky (CAI_TRCF_3) • CAI L3 global radiance distrib. all pixels (CAI_TRCL_3) • CAI L3 global NDVI (CAI_NDVI_3) All products are made available as soon as processed and received from JAXA. To satisfy NearRealTime requirements, ESA also provides access to the FTS L1X products, which are the NRT version of FTS L1B products. The main difference between L1X and L1B is that L1X does not include CAM data, best-estimate pointing-location, and target point classification, but most of all the L1X products are available on the ESA server between 2 and 5 hours after acquisition. The L1X products remain on the dissemination server for 5 days, the time for the corresponding L1B to be available. A document describing the differences between L1X and L1B products is listed in the available resources. For more details on products, please refer to below product specifications.

• Data link
• Data link
• GOSAT.TANSO.FTS.and.CAI.ESA.archive

ESA Short Name: GOSAT.TANSO.FTS.and.CAI.ESA.archive Version ID: 5.0 Unique ID: C3325394666-ESA

This data set contains estimates of methane emission in North America based on an inversion of the GEOS-Chem chemical transport model constrained by Greenhouse Gases Observing SATellite (GOSAT) observations. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.

• Browse image link
• Metadata link
• Data link
• Metadata link
• undefined
• undefined
• Data link

GES_DISC Short Name: CMS_HR_MNA_CH4_FLUX Version ID: 1 Unique ID: C2079343756-GES_DISC

Gridded carbon dioxide mole fraction (XCO2) and other select variables created by applying local kriging (also known as optimal interpolation) to daily aggregates of Greenhouse Gases Observing Satellite (GOSAT) bias corrected data. This is the latest version of this collection.

• Browse image link
• Metadata link
• Data link
• undefined
• Data link
• Metadata link
• Metadata link

GES_DISC Short Name: ACOSMonthlyGriddedXCO2 Version ID: 3 Unique ID: C2219374316-GES_DISC