Italy
This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services
Largo Galileo Galilei 1
ESA/ESRIN
Imagery Base Maps Earth Cover
GOSAT TANSO FTS and CAI full archive and new products
Utilisation of this data is subject to ESA's Earth Observation Terms and Conditions
conditions to access and use unknown
No info available.
EARTH SCIENCE>CLIMATE INDICATORS
EARTH SCIENCE>ATMOSPHERE>AEROSOLS
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC PRESSURE
GOSAT
TANSO-FTS
TANSO-CAI
Orthoimagery
Climate
Aerosols
Atmospheric Chemistry
Atmospheric Pressure
Sun-synchronous
Low Resolution - LR (500 - 1200 m)
Very Low Resolution - VLR (> 1200 m)
160 km for TANSO-FTS, 750-1000 km for TANSO-CAI
Spectrometers
Fast Registration with immediate access
Open Data
Fast Registration with Immediate Access (Open) 1. Go to the _$$ESA User Services Portal$$ 2. Register or log in to EO Sign In 3. Submit the form for accessing the data 4. Download the products from _$$ftp://gosat-ds.eo.esa.int/$$ ftp://gosat-ds.eo.esa.int/ using a FTP client
The GOSAT products are freely accessible in accordance with ESA’s Earth observation data policy. For further information about the EO Sign In Service you can visit _$$TellUs$$ Should you need support to access the data, please contact _$$EOHelp$$
World Wide

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Rutherford Appleton Laboratory, Harwell
United Kingdom
CEDA
The CH4_GOS_SRFP dataset is comprised of level 2, column-averaged mole fractiona (mixing ratioa) 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 SRFP (RemoTec) algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci). This version of the dataset is v2.3.8 and forms part of the Climate Research Data Package 4.The RemoTeC SRFP baseline algorithm is a Full Physics algorithm. 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 products with and without bias correction. Information relevant for the use of the data is also included in the data file, such as the vertical layering and averaging kernels. Additionally, the parameters retrieved simultaneously with XCH4 are included (e.g. surface albedo), as well as retrieval diagnostics like retrieval errors and the quality of the fit. For further information on the product, including the RemoTeC Full Physics algorithm and the TANSO-FTS instrument please see the Product User Guide (PUG) or the Algorithm Theoretical Basis Document.
ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the SRFP (RemoTeC) Full Physics algorithm (CH4_GOS_SRFP), version 2.3.8
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY>CARBON AND HYDROCARBON COMPOUNDS>METHANE
GOSAT
TANSO-FTS
greenhouse gases
column-averaged dry air mole fraction of CH4
Thermal And Near-infrared Sensor for Carbon Observation - Fourier Transform Spectrometer
satellite orbit frequency
Netherlands Institute for Space Research
GOSAT-Programme
Level 2
SRFP
Public data: access to these data is available to both registered and non-registered users.
ESA
GHG
CCI
FP
orthoimagery
ESA/CCI

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Rutherford Appleton Laboratory, Harwell
United Kingdom
CEDA
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.
ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the SRPR (RemoTeC) Proxy Retrieval algorithm (CH4_GOS_SRPR), version 2.3.8
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY>CARBON AND HYDROCARBON COMPOUNDS>METHANE
GOSAT
TANSO-FTS
greenhouse gases
column-averaged dry air mole fraction of CH4
Thermal And Near-infrared Sensor for Carbon Observation - Fourier Transform Spectrometer
satellite orbit frequency
Netherlands Institute for Space Research
GOSAT-Programme
Level 2
SRPR
Public data: access to these data is available to both registered and non-registered users.
ESA
GHG
CCI
Proxy
RemoTeC
orthoimagery
ESA/CCI

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Rutherford Appleton Laboratory, Harwell
United Kingdom
CEDA
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).
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
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY>CARBON AND HYDROCARBON COMPOUNDS>METHANE
greenhouse gases
column-averaged dry air mole fraction of CH4
Thermal And Near-infrared Sensor for Carbon Observation - Fourier Transform Spectrometer
satellite orbit frequency
University of Leicester
GOSAT-Programme
Level 2
OCFP
Public data: access to these data is available to both registered and non-registered users.
ESA
GHG
CCI
orthoimagery
ESA/CCI

ECMWF
Geoscientific Information
CLIMATE APPLICATIONS: Comparison with climate models and to obtain information on CH4 sources and sinks.
Carbon Dioxide, Methane and other Greenhouse Gases
ECV

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.
ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from GOSAT generated with the SRFP (RemoTeC) algorithm (CO2_GOS_SRFP), v2.3.8
EARTH SCIENCE>ATMOSPHERE>ATMOSPHERIC CHEMISTRY>CARBON AND HYDROCARBON COMPOUNDS>ATMOSPHERIC CARBON DIOXIDE
column-averaged dry air mole fraction of CO2
Netherlands Institute for Space Research
SRFP

ECMWF
Geoscientific Information
CLIMATE APPLICATIONS: Comparison with climate models and to obtain information on CO2 sources and sinks.
Carbon Dioxide, Methane and other Greenhouse Gases
ECV

ECMWF
Geoscientific Information
CLIMATE APPLICATIONS: Comparison with climate models.
Carbon Dioxide, Methane and other Greenhouse Gases
ECV
Envisat-SCIAMACHY
nadir