Our People
Chris Wilson
Research Scientist
Observing the Atmosphere
Research interests
I am interested in quantifying and monitoring emissions of greenhouse gases and other atmospheric species. I work with inverse modelling methods, satellite retrievals of atmospheric species and the TOMCAT chemical transport model to improve our estimates of global greenhouse gas emissions, which is important if we are to mitigate them in the future.
Recent publications
First validation of high-resolution satellite-derived methane emissions from an active gas leak in the UK. 2024-03
DOI: https://amt.copernicus.org/articles/17/1599/2024/
Synthesis of the land carbon fluxes of the Amazon region between 2010 and 2020. 2024-01
DOI: https://www.nature.com/articles/s43247-024-01205-0
Atmospheric CO$_\textrm2$ inversion reveals the Amazon as a minor carbon source caused by fire emissions, with forest uptake offsetting about half of these emissions. 2023-09
DOI: https://acp.copernicus.org/articles/23/9685/2023/
Constraining the budget of atmospheric carbonyl sulfide using a 3-D chemical transport model. 2023-09
DOI: https://acp.copernicus.org/articles/23/10035/2023/
Untangling variations in the global methane budget. 2023-09
DOI: https://www.nature.com/articles/s43247-023-00971-7
Decreasing seasonal cycle amplitude of methane in the northern high latitudes being driven by lower-latitude changes in emissions and transport. 2023-07
DOI: https://acp.copernicus.org/articles/23/7363/2023/
Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images. 2023-05
DOI: https://amt.copernicus.org/articles/16/2627/2023/
Atmospheric distribution of HCN from satellite observations and 3-D model simulations. 2023-04
DOI: https://acp.copernicus.org/articles/23/4849/2023/
The consolidated European synthesis of CH$_\textrm4$ and N$_\textrm2$O emissions for the European Union and United Kingdom: 1990–2019. 2023-03
DOI: https://essd.copernicus.org/articles/15/1197/2023/
Intercomparison of Atmospheric Carbonyl Sulfide (TransCom-COS): 2. Evaluation of Optimized Fluxes Using Ground-Based and Aircraft Observations. 2023
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1029/2023JD039198
Intercomparison of Atmospheric Carbonyl Sulfide (TransCom-COS; Part One): Evaluating the Impact of Transport and Emissions on Tropospheric Variability Using Ground-Based and Aircraft Data. 2023
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1029/2022JD037817
Evaluation of wetland CH$_\textrm4$ in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations. 2022-12
DOI: https://bg.copernicus.org/articles/19/5779/2022/
Exploiting satellite measurements to explore uncertainties in UK bottom-up NO$_\textrm\textitx$ emission estimates. 2022-04
DOI: https://acp.copernicus.org/articles/22/4323/2022/
Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018. 2021-07
DOI: https://acp.copernicus.org/articles/21/10643/2021/
The consolidated European synthesis of CH$_\textrm4$ and N$_\textrm2$O emissions for the European Union and United Kingdom: 1990–2017. 2021-05
DOI: https://essd.copernicus.org/articles/13/2307/2021/
How Robust Is the Apparent Break-Down of Northern High-Latitude Temperature Control on Spring Carbon Uptake?. 2021
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1029/2020GL091601
Large Methane Emissions From the Pantanal During Rising Water-Levels Revealed by Regularly Measured Lower Troposphere CH4 Profiles. 2021
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1029/2021GB006964
Magnitude and Uncertainty of Nitrous Oxide Emissions From North America Based on Bottom-Up and Top-Down Approaches: Informing Future Research and National Inventories. 2021
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1029/2021GL095264
Exploring constraints on a wetland methane emission ensemble (WetCHARTs) using GOSAT observations. 2020-11
DOI: https://bg.copernicus.org/articles/17/5669/2020/
A comprehensive quantification of global nitrous oxide sources and sinks. 2020-10
DOI: https://www.nature.com/articles/s41586-020-2780-0
Gravitational separation of Ar∕N$_\textrm2$ and age of air in the lowermost stratosphere in airborne observations and a chemical transport model. 2020-10
DOI: https://acp.copernicus.org/articles/20/12391/2020/
A Synthesis Inversion to Constrain Global Emissions of Two Very Short Lived Chlorocarbons: Dichloromethane, and Perchloroethylene. 2020
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1029/2019JD031818
Acceleration of global N2O emissions seen from two decades of atmospheric inversion. 2019-12
DOI: https://www.nature.com/articles/s41558-019-0613-7
On the Regional and Seasonal Ozone Depletion Potential of Chlorinated Very Short-Lived Substances. 2019
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1029/2018GL081455
Attribution of recent increases in atmospheric methane through 3-D inverse modelling. 2018-12
DOI: https://acp.copernicus.org/articles/18/18149/2018/
Tropical land carbon cycle responses to 2015/16 El Niño as recorded by atmospheric greenhouse gas and remote sensing data. 2018-10
DOI: https://royalsocietypublishing.org/doi/10.1098/rstb.2017.0302
A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project. 2018-08
DOI: https://acp.copernicus.org/articles/18/11753/2018/
Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations. 2018-06
DOI: https://www.sciencedirect.com/science/article/pii/S0034425718300178
Impact on short-lived climate forcers increases projected warming due to deforestation. 2018-01
DOI: https://www.nature.com/articles/s41467-017-02412-4
Using an Inverse Model to Reconcile Differences in Simulated and Observed Global Ethane Concentrations and Trends Between 2008 and 2014. 2018
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1029/2017JD028112
Impact on short-lived climate forcers (SLCFs) from a realistic land-use change scenario via changes in biogenic emissions. 2017-08
DOI: https://pubs.rsc.org/en/content/articlelanding/2017/fd/c7fd00028f
The TOMCAT global chemical transport model v1.6: description of chemical mechanism and model evaluation. 2017-08
DOI: https://gmd.copernicus.org/articles/10/3025/2017/
Extending methane profiles from aircraft into the stratosphere for satellite total column validation using the ECMWF C-IFS and TOMCAT/SLIMCAT 3-D model. 2017-06
DOI: https://acp.copernicus.org/articles/17/6663/2017/
A multi-model intercomparison of halogenated very short-lived substances (TransCom-VSLS): linking oceanic emissions and tropospheric transport for a reconciled estimate of the stratospheric source gas injection of bromine. 2016-07
DOI: https://acp.copernicus.org/articles/16/9163/2016/
Role of OH variability in the stalling of the global atmospheric CH$_\textrm4$ growth rate from 1999 to 2006. 2016-06
DOI: https://acp.copernicus.org/articles/16/7943/2016/
CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data. 2016
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1002/2016JD025263
Contribution of regional sources to atmospheric methane over the Amazon Basin in 2010 and 2011. 2016
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1002/2015GB005300
Role of regional wetland emissions in atmospheric methane variability. 2016
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1002/2016GL070649
Multi-model study of chemical and physical controls on transport of anthropogenic and biomass burning pollution to the Arctic. 2015-03
DOI: https://acp.copernicus.org/articles/15/3575/2015/
Comparison of the HadGEM2 climate-chemistry model against in situ and SCIAMACHY atmospheric methane data. 2014-12
DOI: https://acp.copernicus.org/articles/14/13257/2014/
Development of a variational flux inversion system (INVICAT v1.0) using the TOMCAT chemical transport model. 2014-10
DOI: https://gmd.copernicus.org/articles/7/2485/2014/
TransCom N$_\textrm2$O model inter-comparison – Part 1: Assessing the influence of transport and surface fluxes on tropospheric N$_\textrm2$O variability. 2014-04
DOI: https://acp.copernicus.org/articles/14/4349/2014/
Impact of transport model errors on the global and regional methane emissions estimated by inverse modelling. 2013-10
DOI: https://acp.copernicus.org/articles/13/9917/2013/
Off-line algorithm for calculation of vertical tracer transport in the troposphere due to deep convection. 2013-02
DOI: https://acp.copernicus.org/articles/13/1093/2013/
TransCom model simulations of methane: Comparison of vertical profiles with aircraft measurements. 2013
DOI: https://onlinelibrary.wiley.com/doi/abs/10.1002/jgrd.50380
TransCom model simulations of CH$_\textrm4$ and related species: linking transport, surface flux and chemical loss with CH$_\textrm4$ variability in the troposphere and lower stratosphere. 2011-12
DOI: https://acp.copernicus.org/articles/11/12813/2011/
Trends in atmospheric halogen containing gases since 2004. 2011-11
DOI: https://www.sciencedirect.com/science/article/pii/S0022407311002706