28 citations as recorded by crossref.

1. Spatial modelling of Cs-137 and Sr-90 fallout after the Fukushima Nuclear Power Plant accident S. Bilici et al. 10.1007/s10967-019-06713-4
2. European CO2 fluxes from atmospheric inversions using regional and global transport models L. Rivier et al. 10.1007/s10584-010-9908-4
3. On the assignment of prior errors in Bayesian inversions of CO2 surface fluxes F. Chevallier et al. 10.1029/2006GL026496
4. On the potential of the ICOS atmospheric CO2 measurement network for estimating the biogenic CO2 budget of Europe N. Kadygrov et al. 10.5194/acp-15-12765-2015
5. Inverse transport problem of estimating point-like source using a Bayesian parametric method with MCMC A. Hazart et al. 10.1016/j.sigpro.2013.08.013
6. Mapping of North American methane emissions with high spatial resolution by inversion of SCIAMACHY satellite data K. Wecht et al. 10.1002/2014JD021551
7. Evaluation of various observing systems for the global monitoring of CO2 surface fluxes K. Hungershoefer et al. 10.5194/acp-10-10503-2010
8. Atmospheric inversions for estimating CO2 fluxes: methods and perspectives P. Ciais et al. 10.1007/s10584-010-9909-3
9. Development of a Mesoscale Inversion System for Estimating Continental‐Scale CO2 Fluxes D. Wesloh et al. 10.1029/2019MS001818
10. The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: description and demonstration of capability B. Nathan et al. 10.5194/acp-21-14089-2021
11. On the parallelization of atmospheric inversions of CO2 surface fluxes within a variational framework F. Chevallier 10.5194/gmd-6-783-2013
12. Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
13. Toward Optimal Choices of Control Space Representation for Geophysical Data Assimilation M. Bocquet 10.1175/2009MWR2789.1
14. Smoothing Problems in a Bayesian Framework and Their Linear Gaussian Solutions E. Cosme et al. 10.1175/MWR-D-10-05025.1
15. Source Sector Attribution of CO2 Emissions Using an Urban CO/CO2 Bayesian Inversion System B. Nathan et al. 10.1029/2018JD029231
16. Inverse modelling-based reconstruction of the Chernobyl source term available for long-range transport X. Davoine & M. Bocquet 10.5194/acp-7-1549-2007
17. Reconstruction of an atmospheric tracer source using the principle of maximum entropy. I: Theory M. Bocquet 10.1256/qj.04.67
18. A comparison study of data assimilation algorithms for ozone forecasts L. Wu et al. 10.1029/2008JD009991
19. Assimilation of concentration measurements for retrieving multiple point releases in atmosphere: A least-squares approach to inverse modelling S. Singh & R. Rani 10.1016/j.atmosenv.2015.08.063
20. Parametric Bayesian estimation of point-like pollution sources of groundwater layers B. Ait-El-Fquih et al. 10.1016/j.sigpro.2019.107339
21. Source reconstruction of an accidental radionuclide release at European scale M. Krysta & M. Bocquet 10.1002/qj.3
22. Bayesian design of control space for optimal assimilation of observations. Part II: Asymptotic solutions M. Bocquet & L. Wu 10.1002/qj.841
23. Urban Emissions of CO2 from Davos, Switzerland: The First Real-Time Monitoring System Using an Atmospheric Inversion Technique T. Lauvaux et al. 10.1175/JAMC-D-13-038.1
24. High‐resolution reconstruction of a tracer dispersion event: application to ETEX M. Bocquet 10.1002/qj.64
25. Bayesian design of control space for optimal assimilation of observations. Part I: Consistent multiscale formalism M. Bocquet et al. 10.1002/qj.837
26. Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation M. Bocquet et al. 10.1175/2010MWR3164.1
27. Joint inverse estimation of fossil fuel and biogenic CO2 fluxes in an urban environment: An observing system simulation experiment to assess the impact of multiple uncertainties K. Wu et al. 10.1525/elementa.138
28. Constraining surface emissions of air pollutants using inverse modelling: method intercomparison and a new two-step two-scale regularization approach P. Saide et al. 10.1111/j.1600-0889.2011.00529.x