
A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe
References
- Arora, V. K. , Melton, J. R. and Plummer, D. 2018. An assessment of natural methane fluxes simulated by the CLASS-CTEM model. Biogeosciences 15 , 4683–4709. https://bg.copernicus.org/articles/15/4683/2018/.
- Berchet, A. , Pison, I. , Chevallier, F. , Bousquet, P. , Bonne, J.-L. and co-authors. 2015. Objectified quantification of uncertainties in Bayesian atmospheric inversions. Geosci. Model Dev. 8 , 1525–1546. https://www.geosci-model-dev.net/8/1525/2015/.
- Bergamaschi, P. , Corazza, M. , Karstens, U. , Athanassiadou, M. , Thompson, R. and co-authors. 2015. Top-down estimates of European CH4 and N2O emissions based on four different inverse models. Atmos. Chem. Phys. 15 , 715–736. doi:10.5194/acp-15-715-2015
- Bergamaschi, P. , Karstens, U. , Manning, A. J. , Saunois, M. , Tsuruta, A. and co-authors. 2018. Inverse modelling of European CH4 emissions during 2006–2012 using different inverse models and reassessed atmospheric observations. Atmos. Chem. Phys. 18 , 901–920. https://www.atmos-chem-phys.net/18/901/2018/.
- Bergamaschi, P. , Krol, M. , Dentener, F. , Vermeulen, A. , Meinhardt, F. and co-authors. 2005. Inverse modelling of national and European CH4 emissions using the atmospheric zoom model TM5. Atmos. Chem. Phys. 5 , 2431–2460. https://www.atmos-chem-phys.net/5/2431/2005/.
- Bergamaschi, P. , Krol, M. , Meirink, J. F. , Dentener, F. , Segers, A. and co-authors. 2010. Inverse modeling of European CH4 emissions 2001–2006. J. Geophys. Res.: Atmos. 115 , D22309. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2010JD014180.
- Bocquet, M. , Wu, L. , and Chevallier, F. 2011. Bayesian design of control space for optimal assimilation of observations. Part I: Consistent multiscale formalism. Q. J. R Meteorolog. Soc. 137 , 1340–1356. https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.837.
- Bousquet, P. , Ciais, P. , Miller, J. B. , Dlugokencky, E. J. , Hauglustaine, D. A. and co-authors. 2006. Contribution of anthropogenic and natural sources to atmospheric methane variability. Nature 443 , 439–443. doi:10.1038/nature05132
- Bousquet, P. , Pierangelo, C. , Bacour, C. , Marshall, J. , Peylin, P. and co-authors. 2018. Error budget of the methane remote Lidar mission and its impact on the uncertainties of the global methane budget. Journal of Geophysical Research: Atmospheres 123 , 11,766–11,785. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018JD028907.
- Bousquet, P. , Ringeval, B. , Pison, I. , Dlugokencky, E. J. , Brunke, E.-G. and co-authors. 2011. Source attribution of the changes in atmospheric methane for 2006–2008. Atmos. Chem. Phys. 11 , 3689–3700. https://www.atmos-chem-phys.net/11/3689/2011/.
- Broquet, G. , Chevallier, F. , Rayner, P. , Aulagnier, C. , Pison, I. and co-authors. 2011. A European summertime CO2 biogenic flux inversion at mesoscale from continuous in situ mixing ratio measurements. J. Geophys. Res.: Atmos. 116 , D23303. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2011JD016202.
- Dabberdt, W. , Carroll, M. , Baumgardner, D. , Carmichael, G. , Cohen, R. and co-authors. 2004. Meteorological research needs for improved air quality forecasting: report of the 11th prospectus development team of the U.S. Weather Research Program. Bull. Amer. Meterol. Soc. 85 , 563. doi:10.1175/BAMS-85-4-563
- EEA . 2019. Annual European Union greenhouse gas inventory 1990–2017 and inventory report 2019. https://www.eea.europa.eu/publications/european-union-greenhouse-gas-inventory-2019.
- Fortems-Cheiney, A. , Chevallier, F. , Pison, I. , Bousquet, P. , Saunois, M. and co-authors. 2012. The formaldehyde budget as seen by a global-scale multi-constraint and multi-species inversion system. Atmos. Chem. Phys. 12 , 6699–6721. https://www.atmos-chem-phys.net/12/6699/2012/.
- Fortems-Cheiney, A. , Pison, I. , Dufour, G. , Broquet, G. , Berchet, A. and co-authors. 2019. Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE. Geosci. Model Dev. Discuss. 2019 , 1–22. https://www.geosci-model-dev-discuss.net/gmd-2019-186/.
- Ganesan, A. L. , Rigby, M. , Zammit-Mangion, A. , Manning, A. J. , Prinn, R. G. and co-authors. 2014. Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods. Atmos. Chem. Phys. 14 , 3855–3864. https://www.atmos-chem-phys.net/14/3855/2014/.
- Hayman, G. D. , O’Connor, F. M. , Dalvi, M. , Clark, D. B. , Gedney, N. and co-authors. 2014. Comparison of the HadGEM2 climate–chemistry model against in situ and SCIAMACHY atmospheric methane data. Atmos. Chem. Phys. 14 , 13257–13280. https://acp.copernicus.org/articles/14/13257/2014/.
- Henne, S. , Brunner, D. , Oney, B. , Leuenberger, M. , Eugster, W. and co-authors. 2016. Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling. Atmos. Chem. Phys. 16 , 3683–3710. https://www.atmos-chem-phys.net/16/3683/2016/.
- Hourdin, F. , Musat, I. , Bony, S. , Braconnot, P. , Codron, F. and co-authors. 2006. The LMDZ4 general circulation model: climate performance and sensitivity to parametrized physics with emphasis on tropical convection. Clim. Dyn. 27 , 787–813. doi:10.1007/s00382-006-0158-0
- Hu, H. , Landgraf, J. , Detmers, R. , Borsdorff, T. , Aan de Brugh, J. and co-authors. 2018. Toward global mapping of methane with TROPOMI: first results and intersatellite comparison to GOSAT. Geophys. Res. Lett. 45 , 3682–3689. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2018GL077259.
- IPCC . 2013. Summary for policymakers. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (ed. T. F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P. M. Midgley), Cambridge, United Kingdom and New York, NY, USA. Cambridge University Press, pp. 1–30. www.climatechange2013.org.
- IPCC . 2006. IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme (ed. H. S. Eggleston, L. Buendia, K. Miwa, T. Ngara and K. Tanabe). Institute for Global Environmental Strategies, Japan.
- ISAP. 2019. Integrated Sustainability Action Plan. http://www.stpete.org/sustainability/integrated_sustainability_action_plan.php.
- Janssens-Maenhout, G. , Crippa, M. , Guizzardi, D. , Muntean, M. , Schaaf, E. and co-authors. 2019. EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012. Earth Syst. Sci. Data 11 , 959–1002. https://essd.copernicus.org/articles/11/959/2019/.
-
Jonas, M.
,
Marland, G.
,
Winiwarter, W.
,
White, T.
,
Nahorski, Z.
and co-authors. 2011.
Benefits of dealing with uncertainty in greenhouse gas inventories: introduction . In: Greenhouse Gas Inventories: Dealing with Uncertainty , Springer Netherlands, Dordrecht, pp. 3–18. https://doi.org/10.1007/978-94-007-1670-4_2. - Kaminski, T. , Rayner, P. , Heimann, M. , and and Enting, I. 2001. On aggregation errors in atmospheric transport inversion. J. Geophys. Res. 106 , 4703–4715. doi:10.1029/2000JD900581
- Koffi, E. , Bergamaschi, P. , Karstens, U. , Krol, M. , Segers, A. J. and co-authors. 2016. Evaluation of the boundary layer dynamics of the TM5 model. Geosci. Model Dev. Discuss. 9, 1–37.
- Kuenen, J. J. P. , Visschedijk, A. J. H. , Jozwicka, M. and Denier van der Gon, H. A. C. 2014. TNO-MACC_II emission inventory; a multi-year (2003–2009) consistent high-resolution European emission inventory for air quality modelling. Atmos. Chem. Phys. 14 , 10963–10976. https://www.atmos-chem-phys.net/14/10963/2014/.
- Locatelli, R. , Bousquet, P. , Chevallier, F. , Fortems-Cheney, A. , Szopa, S. and co-authors. 2013. Impact of transport model errors on the global and regional methane emissions estimated by inverse modelling. Atmos. Chem. Phys. 13 , 9917–9937. https://www.atmos-chem-phys.net/13/9917/2013/.
- Locatelli, R. , Bousquet, P. , Hourdin, F. , Saunois, M. , Cozic, A. and co-authors. 2015. Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling. Geosci. Model Dev. 8 , 129–150. https://gmd.copernicus.org/articles/8/129/2015/.
- Lunt, M. F. , Rigby, M. , Ganesan, A. L. and Manning, A. J. 2016. Estimation of trace gas fluxes with objectively determined basis functions using reversible-jump Markov chain Monte Carlo. Geosci. Model Dev. 9 , 3213–3229. https://www.geosci-model-dev.net/9/3213/2016/.
- Mailler, S. , Menut, L. , Khvorostyanov, D. , Valari, M. , Couvidat, F. and co-authors. 2017. CHIMERE-2017: from urban to hemispheric chemistry–transport modeling. Geosci. Model Dev. 10 , 2397–2423. https://www.geosci-model-dev.net/10/2397/2017/.
- Manders, A. , Builtjes, P. J. H. , Curier, L. , Denier van der Gon, H. , Hendriks, C. and co-authors. 2017. Curriculum vitae of the LOTOS-EUROS (v2.0) chemistry transport model. Geosci. Model Dev. Discuss. 10, 1–53.
- Manning, A. J. , Doherty, S. , O’ Jones, A. R. , Simmonds, P. G. and Derwent, R. G. 2011. Estimating UK methane and nitrous oxide emissions from 1990 to 2007 using an inversion modeling approach. J. Geophys. Res.: Atmos. 116 , D02305. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2010JD014763.
- Marécal, V. , Peuch, V.-H. , Andersson, C. , Andersson, S. , Arteta, J. and co-authors. 2015. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production. Geosci. Model Dev. 8 , 2777–2813. https://www.geosci-model-dev.net/8/2777/2015/.
- McNorton, J. , Bousserez, N. , Agustí-Panareda, A. , Balsamo, G. , Choulga, M. and co-authors. 2020. Representing model uncertainty for global atmospheric CO2 flux inversions using ECMWF-IFS-46R1. Geosci. Model Dev. Discuss. 2020 , 1–30. https://www.geosci-model-dev-discuss.net/gmd-2019-314/.
- Menut, L. , Bessagnet, B. , Khvorostyanov, D. , Beekmann, M. , Blond, N. and co-authors. 2013. CHIMERE 2013: a model for regional atmospheric composition modelling. Geosci. Model Dev. 6 , 981–1028. https://www.geosci-model-dev.net/6/981/2013/.
- National Academies of Sciences, Engineering, and Medicine . 2018. Improving Characterization of Anthropogenic Methane Emissions in the United States, 4 Addressing Uncertainties in Anthropogenic Methane Emissions. The National Academies Press, Washington, DC. https://www.ncbi.nlm.nih.gov/books/NBK519298/.
- Olivier, J. and Janssens-Maenhout, G. 2011. Part III: greenhouse gas emissions. In: CO2 emissions from fuel combustion. Paris (France): International Energy Agency (IEA). https://publications.jrc.ec.europa.eu/repository/handle/JRC67519.
- Peltola, O. , Vesala, T. , Gao, Y. , Räty, O. , Alekseychik, P. and co-authors. 2019. Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations. Earth Syst. Sci. Data 11 , 1263–1289. https://www.earth-syst-sci-data.net/11/1263/2019/.
- Pison, I. , Berchet, A. , Saunois, M. , Bousquet, P. , Broquet, G. and co-authors. 2018. How a European network may help with estimating methane emissions on the French national scale. Atmos. Chem. Phys. 18 , 3779–3798. https://www.atmos-chem-phys.net/18/3779/2018/.
- Ringeval, B. , de Noblet-Ducoudré, N. , Ciais, P. , Bousquet, P. , Prigent, C. and co-authors. 2010. An attempt to quantify the impact of changes in wetland extent on methane emissions on the seasonal and interannual time scales. Global Biogeochem. Cycles 24 , GB2003. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2008GB003354.
- Ringeval, B. , Friedlingstein, P. , Koven, C. , Ciais, P. , de Noblet, N. and co-authors. 2011. Climate-CH4 feedback from wetlands and its interaction with the climate-CO2 feedback. Biogeosciences 8 , 2137–2157. doi:10.5194/bg-8-2137-2011
- Saunois, M. , Bousquet, P. , Poulter, B. , Peregon, A. , Ciais, P. and co-authors. 2016a. The global methane budget 2000–2012. Earth Syst. Sci. Data 8 , 697–751. https://www.earth-syst-sci-data.net/8/697/2016/.
- Saunois, M. , Jackson, R. B. , Bousquet, P. , Poulter, B. and Canadell, J. G. 2016b. The growing role of methane in anthropogenic climate change. Environ. Res. Lett. 11 , 120207. doi:10.1088/1748-9326/11/12/120207
- Segers, A. and Houweling, S. Description of the CH4 Inversion Production Chain. ECMWF Copernicus Report, 2017. URL https://atmosphere.copernicus.eu/sites/default/files/2020-01/CAMS73_2018SC1_D73.5.2.2-2019_202001_production_chain_v1.pdf.
- Stohl, A. , Aamaas, B. , Amann, M. , Baker, L. H. , Bellouin, N. and co-authors. 2015. Evaluating the climate and air quality impacts of short-lived pollutants. Atmos. Chem. Phys. 15 , 10529–10566. https://www.atmos-chem-phys.net/15/10529/2015/.
- Tarantola, A. 2005. Inverse Problem Theory and Methods for Model Parameter Estimation . Society for Industrial and Applied Mathematics, Philadelphia, PA.
- Thompson, R. L. , Sasakawa, M. , Machida, T. , Aalto, T. , Worthy, D. and co-authors. 2017. Methane fluxes in the high northern latitudes for 2005–2013 estimated using a Bayesian atmospheric inversion. Atmos. Chem. Phys. 17 , 3553–3572. https://www.atmos-chem-phys.net/17/3553/2017/.
- Thompson, R. L. , Stohl, A. , Zhou, L. X. , Dlugokencky, E. , Fukuyama, Y. and co-authors. 2015. Methane emissions in East Asia for 2000–2011 estimated using an atmospheric Bayesian inversion. J. Geophys. Res.: Atmos. 120 , 4352–4369. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2014JD022394.
- Tsuruta, A. , Aalto, T. , Backman, L. , Hakkarainen, J. , van der Laan-Luijkx, I. T. and co-authors. 2017. Global methane emission estimates for 2000–2012 from CarbonTracker Europe-CH4 v1.0. Geosci. Model Dev. 10 , 1261–1289. https://www.geosci-model-dev.net/10/1261/2017/.
- Tsuruta, A. , Aalto, T. , Backman, L. , Krol, M. C. , Peters, W. and co-authors. 2019. Methane budget estimates in Finland from the CarbonTracker Europe-CH4 data assimilation system. Tellus B: Chem. Phys. Meteorol. 71 , 1–20. https://doi.org/10.1080/16000889.2018.1565030.
- Varon, D. J. , McKeever, J. , Jervis, D. , Maasakkers, J. D. , Pandey, S. and co-authors. 2019. Satellite discovery of anomalously large methane point sources from oil/gas production. Geophys. Res. Lett. 46 , 13507–13516. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019GL083798.
- Wang, F. , Maksyutov, S. , Tsuruta, A. , Janardanan, R. , Ito, A. and co-authors. 2019. Methane emission estimates by the global high-resolution inverse model using national inventories. Remote Sensing 11 , 2489. https://www.mdpi.com/2072-4292/11/21/2489.
- Wang, Y. , Broquet, G. , Ciais, P. , Chevallier, F. , Vogel, F. and co-authors. 2017. Estimation of observation errors for large-scale atmospheric inversion of CO2 emissions from fossil fuel combustion. Tellus B: Chem. Phys. Meteorol. 69 , 1325723. doi:10.1080/16000889.2017.1325723
- Wunch, D. , Jones, D. B. A. , Toon, G. C. , Deutscher, N. M. , Hase, F. and co-authors. 2019. Emissions of methane in Europe inferred by total column measurements. Atmos. Chem. Phys. 19 , 3963–3980. https://www.atmos-chem-phys.net/19/3963/2019/. doi:10.5194/acp-19-3963-2019
- Zheng, T. , French, N. H. F. , and and Baxter, M. 2018. Development of the WRF-CO2 4D-Var assimilation system v1.0. Geosci. Model Dev. 11 , 1725–1752. https://gmd.copernicus.org/articles/11/1725/2018/.
DOI: https://doi.org/10.1080/16000889.2021.1914989 | Journal eISSN: 1600-0889
Language: English
Page range: 1914989 - 1914989
Published on: Jan 1, 2021
Published by: Stockholm University Press
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© 2021 Barbara Szénási, Antoine Berchet, Grégoire Broquet, Arjo Segers, Hugo Denier Van Der Gon, Maarten Krol, Joanna J.S. Hullegie, Anja Kiesow, Dirk Günther, Ana Maria Roxana Petrescu, Marielle Saunois, Philippe Bousquet, Isabelle Pison, published by Stockholm University Press
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