Dataset
CH4 column concentrations calculated from a high-res GEOS-Chem model run for Uganda, January to April 2020
Abstract
These data comprise methane (CH4) column concentrations calculated from a GEOS-Chem model run, performed in a nested configuration at high spatial resolution (0.25deg x 0.3125deg latitude-longitude) centred on Uganda. The data included in the netCDF4 files cover a 6.0deg x 8.0deg box centred approximately on the Methane Observations and Yearly Assessments (MOYA) project EM27/SUN measurement site in Jinja.
For the a priori methane emissions inside the nested domain the EDGAR v4.3.2 database is used for anthropogenic emissions, the WetCHARTS dataset for emissions from wetlands, and the GFAS database for daily biomass burning emissions. The boundary conditions for the nested domain come from a global GEOS-Chem model run at lower spatial resolution (2.0deg x 2.5deg latitude-longitude). An ensemble Kalman Filter system is used to perform the inversion. Two netCDF4 files are included: one where we just use the a priori emissions to determine the CH4 fluxes in the model domain, and one where TROPOMI CH4 (satellite observation) data is used to constrain the emissions.
EDGAR - Emissions Database for Global Atmospheric Research (linked in the Details/Docs section)
WetCHARTs - Wetland Methane Emissions and Uncertainty (linked in the Details/Docs section)
GFAS - Global Fire Assimilation System (linked in the Details/Docs section)
TROPOMI - TROPOspheric Monitoring Instrument
Details
Previous Info: |
No news update for this record
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Previously used record identifiers: |
No related previous identifiers.
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Access rules: |
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Use of these data is covered by the following licence(s): http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
Data lineage: |
The GEOS-Chem model runs were performed by Mark Lunt at the University of Edinburgh (now at Environmental Defense Fund), producing daily data files containing methane concentration data on a latitude-longitude-height grid. We then integrated the methane concentrations over the vertical column at each grid point to obtain the total column concentration for each location, and collated the data into a single netCDF4 file. This was done for two sets of GEOS-Chem results (one netCDF4 file for each): one taking into account TROPOMI methane data when calculating the methane emissions in the model domain, and one using the prior emissions inventory data only. |
Data Quality: |
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).
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File Format: |
Net-CDF
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Related Documents
Citations: 1
The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.
Humpage, N., Boesch, H., Okello, W., Chen, J., Dietrich, F., Lunt, M.F., Feng, L., Palmer, P.I. & Hase, F. (2024) Greenhouse gas column observations from a portable spectrometer in Uganda. Atmospheric Measurement Techniques 17, 5679–5707. https://doi.org/10.5194/amt-17-5679-2024 https://doi.org/10.5194/amt-17-5679-2024 |
Process overview
Title | GEOS-Chem Model |
Abstract | GEOS-Chem is a global 3-D chemical transport model (CTM) for atmospheric composition driven by meteorological input from the Goddard Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office. It is applied by research groups around the world to a wide range of atmospheric composition problems. Scientific direction of the model is provided by the international GEOS-Chem Steering Committee and by User Working Groups. The model is managed by the GEOS-Chem Support Team, based at Harvard University and Dalhousie University with support from the US NASA Earth Science Division and the Canadian National and Engineering Research Council. |
Input Description | None |
Output Description | None |
Software Reference | None |
No variables found.
Temporal Range
2020-01-23T00:00:00
2020-04-19T00:00:00
Geographic Extent
3.0000° |
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28.0000° |
36.0000° |
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-3.0000° |