63 citations as recorded by crossref.

1. Automated release rate inversion and plume bias correction for atmospheric radionuclide leaks: A robust and general remediation to imperfect radionuclide transport modeling S. Fang et al. 10.1016/j.scitotenv.2020.142140
2. Bayesian inverse modeling and source location of an unintended <sup>131</sup>I release in Europe in the fall of 2011 O. Tichý et al. 10.5194/acp-17-12677-2017
3. Joint release rate estimation and measurement-by-measurement model correction for atmospheric radionuclide emission in nuclear accidents: An application to wind tunnel experiments X. Li et al. 10.1016/j.jhazmat.2017.09.051
4. Estimating accidental pollutant releases in the built environment from turbulent concentration signals N. Ben Salem et al. 10.1016/j.atmosenv.2016.10.050
5. Modified ensemble Kalman filter for nuclear accident atmospheric dispersion: Prediction improved and source estimated X. Zhang et al. 10.1016/j.jhazmat.2014.07.064
6. Uncertainty quantification of pollutant source retrieval: comparison of Bayesian methods with application to the Chernobyl and Fukushima Daiichi accidental releases of radionuclides Y. Liu et al. 10.1002/qj.3138
7. Bayesian estimation of the observation‐error covariance matrix in ensemble‐based filters G. Ueno & N. Nakamura 10.1002/qj.2803
8. Parameter‐field estimation for atmospheric dispersion: application to the Chernobyl accident using 4D‐Var M. Bocquet 10.1002/qj.961
9. RETRACTED ARTICLE: Release, deposition and elimination of radiocesium (137Cs) in the terrestrial environment M. Ashraf et al. 10.1007/s10653-014-9620-9
10. Real-time air quality forecasting, part II: State of the science, current research needs, and future prospects Y. Zhang et al. 10.1016/j.atmosenv.2012.02.041
11. Towards the operational estimation of a radiological plume using data assimilation after a radiological accidental atmospheric release V. Winiarek et al. 10.1016/j.atmosenv.2010.12.025
12. Atmospheric behavior, deposition, and budget of radioactive materials from the Fukushima Daiichi nuclear power plant in March 2011 Y. Morino et al. 10.1029/2011GL048689
13. Source term inversion of short-lived nuclides in complex nuclear accidents based on machine learning using off-site gamma dose rate Y. Ling et al. 10.1016/j.jhazmat.2023.133388
14. Estimation of errors in the inverse modeling of accidental release of atmospheric pollutant: Application to the reconstruction of the cesium‐137 and iodine‐131 source terms from the Fukushima Daiichi power plant V. Winiarek et al. 10.1029/2011JD016932
15. Optimization of an urban monitoring network for emergency response applications: An approach for characterizing the source of hazardous releases P. Ngae et al. 10.1002/qj.3471
16. Potential of the International Monitoring System radionuclide network for inverse modelling M. Koohkan et al. 10.1016/j.atmosenv.2012.02.044
17. Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. 10.5194/acp-15-5325-2015
18. Toward Optimal Choices of Control Space Representation for Geophysical Data Assimilation M. Bocquet 10.1175/2009MWR2789.1
19. Atmospheric modeling and source reconstruction of radioactive ruthenium from an undeclared major release in 2017 O. Saunier et al. 10.1073/pnas.1907823116
20. Improving the estimation accuracy of multi-nuclide source term estimation method for severe nuclear accidents using temporal convolutional network optimized by Bayesian optimization and hyperband Y. Ling et al. 10.1016/j.jenvrad.2021.106787
21. Targeting of observations for accidental atmospheric release monitoring R. Abida & M. Bocquet 10.1016/j.atmosenv.2009.09.029
22. Ensemble-based release estimation for accidental river pollution with known source position X. Zhang & M. Huang 10.1016/j.jhazmat.2017.03.028
23. LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination O. Tichý et al. 10.5194/gmd-9-4297-2016
24. Hyperparameter estimation for uncertainty quantification in mesoscale carbon dioxide inversions L. Wu et al. 10.3402/tellusb.v65i0.20894
25. Analysis of the impact of various vertical release patterns on the atmospheric dispersion and total deposition of 137Cs from Chernobyl Nuclear Power Plant accident E. Bilgiç & O. Gündüz 10.1007/s11356-021-15211-8
26. Source term estimation of multi‐specie atmospheric release of radiation from gamma dose rates O. Tichý et al. 10.1002/qj.3403
27. Nuclear accident source term estimation using Kernel Principal Component Analysis, Particle Swarm Optimization, and Backpropagation Neural Networks Y. Ling et al. 10.1016/j.anucene.2019.107031
28. Estimation of the caesium-137 source term from the Fukushima Daiichi nuclear power plant using a consistent joint assimilation of air concentration and deposition observations V. Winiarek et al. 10.1016/j.atmosenv.2013.10.017
29. Sequential multi-nuclide emission rate estimation method based on gamma dose rate measurement for nuclear emergency management X. Zhang et al. 10.1016/j.jhazmat.2016.10.072
30. Atmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety X. Zhang & J. Wang 10.1016/j.jnlssr.2022.09.001
31. Improving Numerical Dispersion Modelling in Built Environments with Data Assimilation Using the Iterative Ensemble Kalman Smoother C. Defforge et al. 10.1007/s10546-020-00588-9
32. An inversion technique for the retrieval of single-point emissions from atmospheric concentration measurements M. Sharan et al. 10.1098/rspa.2008.0402
33. Subgrid‐scale treatment for major point sources in an Eulerian model: A sensitivity study on the European Tracer Experiment (ETEX) and Chernobyl cases I. Korsakissok & V. Mallet 10.1029/2009JD012734
34. Cesium-137: Radio-Chemistry, Fate, and Transport, Remediation, and Future Concerns M. Ashraf et al. 10.1080/10643389.2013.790753
35. Bayesian design of control space for optimal assimilation of observations. Part I: Consistent multiscale formalism M. Bocquet et al. 10.1002/qj.837
36. Probing ETEX-II data set with inverse modelling M. Krysta et al. 10.5194/acp-8-3963-2008
37. Measurement of Fukushima aerosol debris in Sequim and Richland, WA and Ketchikan, AK H. Miley et al. 10.1007/s10967-012-2231-y
38. Comparison of adjoint and analytical Bayesian inversion methods for constraining Asian sources of carbon monoxide using satellite (MOPITT) measurements of CO columns M. Kopacz et al. 10.1029/2007JD009264
39. Reconstructing height of an unknown point release using least‐squares data assimilation S. Singh et al. 10.1002/qj.2446
40. Source term inversion of nuclear accidents based on ISAO-SAELM model D. Xiao et al. 10.1016/j.net.2024.04.038
41. Reconstruction of an atmospheric tracer source in an urban‐like environment P. Kumar et al. 10.1002/2015JD024110
42. Estimation of an aerosol source in forced ventilation through prior identification of a convolutive model F. Chata et al. 10.1016/j.ijheatmasstransfer.2017.01.015
43. Xenon-133 and caesium-137 releases into the atmosphere from the Fukushima Dai-ichi nuclear power plant: determination of the source term, atmospheric dispersion, and deposition A. Stohl et al. 10.5194/acp-12-2313-2012
44. A spatiotemporally separated framework for reconstructing the sources of atmospheric radionuclide releases Y. Xu et al. 10.5194/gmd-17-4961-2024
45. Comment on "Global risk of radioactive fallout after major nuclear reactor accidents" by Lelieveld et al. (2012) J. Lelieveld et al. 10.5194/acp-13-31-2013
46. Inverse modeling of the Chernobyl source term using atmospheric concentration and deposition measurements N. Evangeliou et al. 10.5194/acp-17-8805-2017
47. AlN-induced reinforcement of nano-amorphous B–C–N compound for TiB2–B4C ceramic composite C. Wu & Y. Li 10.1016/j.jallcom.2020.154074
48. Inversion Method for Multiple Nuclide Source Terms in Nuclear Accidents Based on Deep Learning Fusion Model Y. Ling et al. 10.3390/atmos14010148
49. The wildfire problem in areas contaminated by the Chernobyl disaster A. Ager et al. 10.1016/j.scitotenv.2019.133954
50. Bayesian inverse modeling of the atmospheric transport and emissions of a controlled tracer release from a nuclear power plant D. Lucas et al. 10.5194/acp-17-13521-2017
51. A parabolic inverse convection–diffusion–reaction problem solved using space–time localization and adaptivity G. Deolmi & F. Marcuzzi 10.1016/j.amc.2013.02.040
52. Estimation of time-varying pollutant emission rates in a ventilated enclosure: inversion of a reduced model obtained by experimental application of the modal identification method M. Girault et al. 10.1088/0266-5611/24/1/015021
53. An inverse modeling method to assess the source term of the Fukushima Nuclear Power Plant accident using gamma dose rate observations O. Saunier et al. 10.5194/acp-13-11403-2013
54. Estimation of volatile organic compound emissions for Europe using data assimilation M. Koohkan et al. 10.5194/acp-13-5887-2013
55. Method to determine nuclear accident release category via environmental monitoring data based on a neural network Q. Yue et al. 10.1016/j.nucengdes.2020.110789
56. 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
57. Horizontal Resolution Dependence of Atmospheric Simulations of the Fukushima Nuclear Accident Using 15-km, 3-km, and 500-m Grid Models T. SEKIYAMA et al. 10.2151/jmsj.2015-002
58. Exploration of the impact of nearby sources on urban atmospheric inversions using large eddy simulation B. Gaudet et al. 10.1525/elementa.247
59. Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation M. Bocquet et al. 10.1175/2010MWR3164.1
60. Radiological modeling of the impacts of the Chernobyl nuclear power plant accident on Turkey and southwest Asia E. Bi̇lgi̇ç & O. Gündüz 10.1016/j.apr.2021.101308
61. On variational data assimilation for estimating the model initial conditions and emission fluxes for short-term forecasting of SOx concentrations J. Vira & M. Sofiev 10.1016/j.atmosenv.2011.09.066
62. On the tuning of atmospheric inverse methods: comparisons with the European Tracer Experiment (ETEX) and Chernobyl datasets using the atmospheric transport model FLEXPART O. Tichý et al. 10.5194/gmd-13-5917-2020
63. Source characterization of atmospheric releases using stochastic search and regularized gradient optimization B. Addepalli et al. 10.1080/17415977.2011.589901