ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from SCIAMACHY generated with the WFMD algorithm (CO2_SCI_WFMD), v4.0

The CO2_SCI_WFMD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2) from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. It has been produced using the Weighting Function Modified DOAS (WFM-DOAS) algorithm, by the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.

The WFM-DOAS algorithm is a least-squares method based on scaling pre-selected atmospheric vertical profiles. Note that this has been designated as an 'alternative' algorithm for the GHG_cci and another XCO2 product has also been generated from the SCIAMACHY data using the baseline algorithm (the Bremen Optimal Estimation DOAS (BESD) algorithm). It is advised that users who aren't sure whether to use the baseline or alternative product use the product generated with the BESD baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.

The data product is stored per day in seperate NetCDF-files (NetCDF-4 classic model). The product files contain the key products, i.e. the retrieved column-averaged dry air mole fractions for XCO2, several other useful parameters and additional information relevant to using the data e.g. the averaging kernels. For further information on the product, including details of the WFMD algorithm, the SCIAMACHY instrument and issues associated with the data please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section.

Date (Publication): 2018-03-19T20:57:44

Date (Creation): 2018-03-19T20:57:44

Identifier: https://catalogue.ceda.ac.uk/uuid/e493802d83c846c8b76f817866fb74cc

Identifier: Centre for Environmental Data Analysis (CEDA) / e493802d83c846c8b76f817866fb74cc

Identifier: alternative.identifier / esacci.GHG.satellite-orbit-frequency.L2.CO2.SCIAMACHY.Envisat.WFMD.v4-0.r1.v20180702

Author

ESA CCI GHG project team - author

Custodian

Centre for Environmental Data Analysis (CEDA) - custodian

Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom

01235446432

Distributor

Centre for Environmental Data Analysis (CEDA) - distributor

Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom

01235446432

pointofContact

Centre for Environmental Data Analysis (CEDA) - point_of_contact

Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom

01235446432

pointofContact

Unavailable - Schneising, O. ( point_of_contact )

Publisher

Centre for Environmental Data Analysis (CEDA) - publisher

Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom

01235446432

Maintenance and update frequency: notPlanned Not planned

Update scope: dataset Dataset

Keywords

GEMET - INSPIRE themes, version 1.0

orthoimagery

Access constraints: otherRestrictions Other restrictions

Other constraints: Public data: access to these data is available to both registered and non-registered users.

Use constraints: otherRestrictions Other restrictions

Other constraints: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf, 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.

Spatial representation type: grid Grid

Metadata language: EnglishEnglish

Topic category

Imagery base maps earth cover

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Begin date: 2002-10-01T00:00:00

End date: 2012-04-08T23:59:59

Unique resource identifier: WGS 84

Distribution format

Data are in NetCDF format ()

Distributor

Centre for Environmental Data Analysis (CEDA) - Data Center Contact

Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom

01235446432

OnLine resource: CEDA Data Catalogue Page
Detail and access information for the resource

OnLine resource: DOWNLOAD
Download Data

OnLine resource: Product User Guide
No further details.

OnLine resource: Bremen WFMD website
No further details.

OnLine resource: GHG-CCI Data Products webpage
No further details.

OnLine resource: Schneising et al, 2011,'Long-term analysis of carbon dioxide and methane column-averaged mole fractions retrieved from SCIAMACHY'
No further details.

OnLine resource: Sample Image
No further details.

OnLine resource: Comprehensive Error Characterisation Report (CECR) - SCIAMACHY WFM-DOAS (WFMD) XCO2 and XCH4
No further details.

OnLine resource: Algorithm Theoretical Basis Document (ATBD) - SCIAMACHY WFM-DOAS (WFMD) XCO2 and XCH4
No further details.

OnLine resource: System Verification Report (SVR) CRDP#4 - SCIAMACHY WFM-DOAS (WFMD) XCO2 and XCH4
No further details.

OnLine resource: Product Validation and Intercomparison Report (PVIRv5)
No further details.

OnLine resource: ESA CCI Greenhouse Gases project website
No further details.

Hierarchy level: dataset Dataset

Conformance result

Date (Publication): 2010-12-08

Statement: Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project

File identifier: e493802d83c846c8b76f817866fb74cc XML

Metadata language: EnglishEnglish

Character set: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 UTF8

Parent identifier: ESA Greenhouse Gases Climate Change Initiative (GHG_cci) dataset collection 0508f3dd991144aa80346007a415fb07

Hierarchy level: dataset Dataset

Date stamp: 2025-11-15T03:15:45

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Point of contact

Centre for Environmental Data Analysis (CEDA)

Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom

01235446432

Overviews

Spatial extent

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Provided by

Access to the portal

Read here the full details and access to the data.

Associated resources

Not available