Dataset
CO2 column concentrations from GEOS-Chem, covering East Africa from January to April 2020
Abstract
These model data include column concentrations of carbon dioxide (CO2) calculated using the GEOS-Chem atmospheric chemistry and transport model, covering a region over East Africa centred on the Methane Observations and Yearly Assessments (MOYA) project EM27/SUN measurement site in Jinja, Uganda. The period modelled coincides with the EM27/SUN measurement dates, covering all days from 23rd January to 19th April 2020.
A global GEOS-Chem model run was used on a 2.0deg x 2.5deg latitude-longitude grid with 47 vertical levels. Emissions inventories are used for the a priori flux estimates, taking into account CO2 emissions from biomass burning, fossil fuels, ocean fluxes, and biosphere fluxes. An ensemble Kalman Filter approach is used to estimate the CO2 fluxes, with either in-situ or satellite measurements of atmospheric CO2 (one .nc file for each) used as prior information on concentration. These calculations were performed by Liang Feng of the National Centre for Earth Observation, University of Edinburgh.
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: |
Global GEOS-Chem output was produced in daily files. The desired geographical region was extracted, the vertical profiles at each grid-point integrated to obtain the column concentration for each latitude-longitude pair in the region, and the data from all modelled days were collated into a single netCDF file for each model run (one using OCO-2 satellite data as prior concentration information, and one using in-situ measurements). |
| 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
20.0000° |
||
15.0000° |
50.0000° |
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-15.0000° |