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Dataset

 

Posterior South American monthly mean surface flux of methane (2010-2018) produced using the INVICAT 4D-Var inverse model.

Latest Data Update: 2021-01-21
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-02-11
DOI Publication Date: 2021-02-17
Download Stats: last 12 months
Dataset Size: 2 Files | 287KB

Abstract

This data set consist of a single file which contains a set of optimised global surface fluxes of methane (CH4), produced through variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. These surface fluxes are produced as monthly mean values on the (approximately) 5.6-degree horizontal model grid. The associated uncertainty for the flux from each grid cell is also included. The fluxes and uncertainties are global and cover the period Jan 2010 - Dec 2018. The emissions from fossil fuels are labelled FF_FLUX, whilst the uncertainties are labelled FF_ERROR. The emissions from natural, agricultural and biomass burning sources are labelled NAT_FLUX, whilst the uncertainties are labelled NAT_ERROR. These two sectors (fossil fuel and non-fossil fuel) are solved for separately in the inversion. Flux and uncertainty units are kg(CH4)/m2/s, and time units are days since January 1st 2010. These emissions show improved performance relative to independent observations when included in the TOMCAT model. Further details about the data can be found in Wilson et al. (2020) in the documentation section.

Citable as:  Wilson, C.; Chipperfield, M.; Gloor, M.; Parker, R.; Boesch, H. (2021): Posterior South American monthly mean surface flux of methane (2010-2018) produced using the INVICAT 4D-Var inverse model.. Centre for Environmental Data Analysis, 17 February 2021. doi:10.5285/88224a922439441fa6644b4564dcd90c. https://dx.doi.org/10.5285/88224a922439441fa6644b4564dcd90c
Abbreviation: Not defined
Keywords: CH4, Methane, Amazon, agriculture, biomass, TOMCAT, INVICAT

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
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:

Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).

Data Quality:
Data checked by provider prior to archiving. Data passed CEDA quality control procedure, ceda-cc.
File Format:
NetCDF

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.

Wilson, C., Chipperfield, M.P., Gloor, M., Parker, R.J., Boesch, H., McNorton, J., Gatti, L.V., Miller, J.B., Basso, L.S. & Monks, S.A. (2021) Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018. Atmospheric Chemistry and Physics 21, 10643–10669. https://doi.org/10.5194/acp-21-10643-2021 https://doi.org/10.5194/acp-21-10643-2021

Process overview

This dataset was generated by the computation detailed below.
Title

Monthly mean surface flux methane produced using the INVICAT 4D-Var inverse model.

Abstract

Emissions estimates were produced through assimilation of surface flask samples of methane produced by the National Oceanic and Atmospheric Administration’s Global Monitoring Division (NOAA GMD), and column-averaged dry-air mole fractions of CH4 (XCH4) from the University of Leicester Proxy retrieval scheme v7.2 for GOSAT (Parker et al., 2011, 2020). This data was produced using the INVICAT inverse chemical transport model at the University of Leeds, in 2020. For further information on the model please see the documentation section.

Input Description

None

Output Description

None

Software Reference

None

  • units: degrees_north
  • var_id: LAT_EDGE
  • units: degrees_east
  • var_id: LON_EDGE
  • units: degrees_north
  • var_id: latitude
  • units: degrees_east
  • var_id: longitude
  • units: kg m-2 s-1
  • long_name: posterior_surface_flux_of_methane_from_fossil_fuel_emissions
  • var_id: FF_FLUX
  • units: kg m-2 s-1
  • long_name: posterior_surface_flux_of_methane_from_natural_agriculture_fire_emissions
  • var_id: NAT_FLUX
  • units: kg m-2 s-1
  • long_name: posterior_surface_flux_uncertainty_for_methane_from_fossi_fuel_emissions
  • var_id: FF_ERROR
  • units: kg m-2 s-1
  • long_name: posterior_surface_flux_uncertainty_for_methane_from_natural_agriculture_fire_emissions
  • var_id: NAT_ERROR
  • var_id: time

Co-ordinate Variables

Coverage
Temporal Range
Start time:
2009-12-31T23:59:59
End time:
2018-12-31T00:00:00
Geographic Extent

 
16.6133°
 
-92.8100°
 
-25.1200°
 
-60.9108°