Dataset: ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from SCIAMACHY generated with the WFMD algorithm (CH4_SCI_WFMD), version 4.0#
Dataset identifier: esacci.GHG.satellite-orbit-frequency.L2.CH4.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.CH4.SCIAMACHY.Envisat.WFMD.v4-0.r1')
Bounding box map#
cciodp_store = new_data_store('cciodp')
ds = cciodp_store.open_data('esacci.GHG.satellite-orbit-frequency.L2.CH4.SCIAMACHY.Envisat.WFMD.v4-0.r1')
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 2011-12-31 |
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 | CH4 |
sensor_id | SCIAMACHY |
platform_id | Envisat |
abstract | The CH4_SCI_WFMD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's (ESA's) environmental research satellite ENVISAT, as part of the ESA's Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the data is version 4.0, and forms part of the Climate Research Data Package 4. The Weighting Function Modified DOAS (WFMD) algorithm is a least-squares method based on scaling pre-selected atmospheric vertical profiles. A second product is also available, which has been generated from the SCIAMACHY data using the IMAP algorithm. The data product is stored per day in separate NetCDF-files (NetCDF-4 classic model). The product files contain the key products and other information relevant for the use of the data e.g. the averaging kernels. Note that the results since November 2005 are considered to be of reduced quality in comparison to the earlier results because the extended-wavelength part (1590-1770 nm) of SCIAMACHY's channel 6, covering the methane 2v3 absorption band used for the methane retrieval, is subject to irreversible displacement damage induced by high energy solar protons, which occurs from time to time at individual detector pixels. Therefore several affected detector pixels had to be excluded for the time period since November 2005. For further information on the product, including details of the WFMD algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents. |
title | ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from SCIAMACHY generated with the WFMD algorithm (CH4_SCI_WFMD), version 4.0 |
publication_date | 2018-03-19T21:10:04 |
uuid | aa09603e91b44f3cb1573c9dd415e8a8 |
catalog_url | https://catalogue.ceda.ac.uk/uuid/aa09603e91b44f3cb1573c9dd415e8a8 |
cci_project | GHG |