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

Dataset identifier: esacci.GHG.satellite-orbit-frequency.L2.CO2.SCIAMACHY.Envisat.WFMD.v4-0.r1
Data store: cciodp

How to open this dataset in AVL JupyterLab  ⧉

cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.GHG.satellite-orbit-frequency.L2.CO2.SCIAMACHY.Envisat.WFMD.v4-0.r1')

Bounding box map#

Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter	Value
Bounding box longitude (°)	-180.0 to 180.0
Bounding box latitude (°)	-90.0 to 90.0
Time range	2002-09-30 to 2012-04-07

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Full dataset metadata#

Field	Value
ecv	GHG
institute	University of Bremen
processing_level	L2
product_string	WFMD
product_version	v4-0
data_type	CO2
sensor_id	SCIAMACHY
platform_id	Envisat
abstract	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.
title	ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from SCIAMACHY generated with the WFMD algorithm (CO2_SCI_WFMD), v4.0
publication_date	2018-03-19T20:57:44
uuid	e493802d83c846c8b76f817866fb74cc
catalog_url	https://catalogue.ceda.ac.uk/uuid/e493802d83c846c8b76f817866fb74cc
cci_project	GHG