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UK and Europe Methane (CH4) surface flux inverse modelling estimates for 2015 - 2019

Update Frequency: Not Planned
Latest Data Update: 2023-02-14
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2023-02-16
Download Stats: last 12 months
Dataset Size: 2 Files | 105MB


Monthly CH4 flux estimates for the UK and western Europe, derived from inverse modelling work by the Atmospheric Chemistry Research Group (ACRG) at the University of Bristol.
Posterior flux estimates were derived from a Markov Chain Monte Carlo (MCMC) inversion process, using 4-hourly atmospheric mole fraction observations of CH4 from UK observation sites Mace Head (MHD), Tacolneston (TAC), Ridge Hill (RGL), Bilsdale (BSD) and Heathfield (HFD) and a priori estimate of CH4 emissions from the UK Greenhouse Gas (UKGHG) and Emissions Database for Global Atmospheric Research (EDGAR) models. Total CH4 flux estimates at a resolution of 0.23 degrees latitude x 0.35 degrees longitude over 10.7 to 79.3 degrees north and -97.9 to 39.7 degrees east are provided for 2015 - 2019.

Citable as:  Ramsden, A.; Ganesan, A.; Western, L.; Rigby, M.; Manning, A.; Foulds, A.; France, J.; Barker, P.; Levy, P.; Say, D.; Wisher, A.; Arnold, T.; Rennick, C.; Stanley, K.; Young, D.; O'Doherty, S. (2023): UK and Europe Methane (CH4) surface flux inverse modelling estimates for 2015 - 2019. NERC EDS Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: Methane


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: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

CH4 flux estimates produced during 2021 and reprocessed in Nov 2022 by Alice Ramsden before uploading to CEDA.

Data Quality:
Posterior CH4 flux estimates were checked against those made by the ACRG's alternative inverse modelling method, to ensure repeatability.
File Format:
Data are netCDF formatted

Process overview

This dataset was generated by the computation detailed below.

Tracer inverse model


The tracer inverse model, an inverse model with optional use of secondary trace gases for source attribution was developed by Alice Ramsden and the Atmospheric Chemistry Research Group at the University of Bristol. The inverse model produces most-likely posterior estimates of CH4 surface fluxes by considering the likelihood of emissions in relation to amtospheric mole fraction observations of methane and the probability of emissions in relation to an a priori flux estimate.

Input Description


Output Description


Software Reference


  • var_id: time
  • units: days
  • long_name: Month over which CH4 flux is estimated
  • var_id: flux_post_mean
  • long_name: Monthly CH4 surface flux posterior mean
  • units: mol/m2/s
  • units: mol/m2/s
  • var_id: flux_post_std
  • long_name: Monthly CH4 surface flux posterior standard deviation
  • long_name: latitude
  • var_id: lat
  • units: Degrees north
  • long_name: longitude
  • var_id: lon
  • units: Degrees east

Co-ordinate Variables

Temporal Range
Start time:
End time:
Geographic Extent