ce524139de81430e840d9a33daab3385
English
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
0508f3dd991144aa80346007a415fb07
dataset
Centre for Environmental Data Analysis (CEDA)
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointOfContact
2024-03-29T12:56:12
UK GEMINI
2.3
WGS 84
ESA Greenhouse Gases Climate Change Initiative (GHG_cci): SCIAMACHY CO2 Level 2 Data Product (CO2_SCI_WFMD), version 3.8, generated with the WFMD algorithm
publication
creation
http://catalogue.ceda.ac.uk/uuid/ce524139de81430e840d9a33daab3385
ce524139de81430e840d9a33daab3385
Centre for Environmental Data Analysis (CEDA)
Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 2 (CRDP#2), the WFMD XCO2 SCIAMACHY product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT.
This product has been derived using the Weighting Function Modified DOAS (WFM-DOAS) algorithm, 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). The link to this product's record page is provided in the documentation section. 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 provided in the documentation section.
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.
ESA CCI GHG project team
author
unknown
author
Centre for Environmental Data Analysis (CEDA)
custodian
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
custodian
Centre for Environmental Data Analysis (CEDA)
distributor
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
distributor
Centre for Environmental Data Analysis (CEDA)
point_of_contact
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
pointofContact
Centre for Environmental Data Analysis (CEDA)
publisher
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
publisher
unknown
dataset
University of Bremen
greenhouse gases
Level 2
Envisat
column-averaged dry air mole fraction of CO2
SCIAMACHY
SCIAMACHY
Environmental Satellite
satellite orbit frequency
ESA
GREENHOUSE GASES
GHG
CCI
CO2
SCIAMACHY
WFMD
L2
orthoimagery
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
otherRestrictions
Public data: access to these data is available to both registered and non-registered users.
otherRestrictions
Use of these data is covered by the following licence: https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf . When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
grid
English
imageryBaseMapsEarthCover
-180.0
180.0
-90.0
90.0
2002-10-01T00:00:00
2012-04-08T23:59:59
The data are stored in NetCDF format (NetCDF-4 classic model) which can be read with standard tools in the common programming languages (IDL, Matlab, Python etc)
Centre for Environmental Data Analysis (CEDA)
Data Center Contact
01235446432
Rutherford Appleton Laboratory
Harwell
Oxon
OX11 0QX
United Kingdom
support@ceda.ac.uk
distributor
http://catalogue.ceda.ac.uk/uuid/ce524139de81430e840d9a33daab3385
CEDA Data Catalogue Page
Detail and access information for the resource
information
http://data.ceda.ac.uk/neodc/esacci/ghg/data/crdp_2/L2/SCIAMACHY/CO2_SCI_WFMD/v3.8
DOWNLOAD
Download Data
download
http://www.esa-ghg-cci.org/sites/default/files/documents/public/documents/GHG-CCI_DATA.html
GHG-CCI Data Products webpage
No further details.
information
http://www.esa-ghg-cci.org/?q=webfm_send/202
Climate Research Data Package Number 2 (CRDP#2) website
No further details.
information
http://www.esa-ghg-cci.org/index.php?q=webfm_send/163
Product User Guide Version 2 (PUGv2) for the XCO2 SCIAMACHY Data Product BESD
No further details.
information
http://www.esa-ghg-cci.org/index.php?q=webfm_send/161
Algorithm Theoretical Basis Document Version 3 (ATBDv3) - The BESD algorithm for the retrieval of XCO2
No further details.
information
http://www.iup.uni-bremen.de/~mreuter/besd.php
BESD website
No further details.
information
http://onlinelibrary.wiley.com/doi/10.1029/2010JD015047/abstract
Reuter et al., 2011: reference further describing the BESD algorithm
No further details.
information
https://climate.esa.int
ESA Climate Change Initiative website
No further details.
information
http://www.esa-ghg-cci.org/index.php?q=webfm_send/169
System Verification Report (SVR) GHG-CCI Phase 2 CRDP#2 for sub-system CO2_SCI_BESD
No further details.
information
dataset
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
2010-12-08
Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project