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Tellus B: Chemical and Physical Meteorology Volume 68, 2016 - Issue 1

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Original Research Articles

Using the Wasserstein distance to compare fields of pollutants: application to the radionuclide atmospheric dispersion of the Fukushima-Daiichi accident

Alban FarchiCEREA, Joint Laboratory École des Ponts ParisTech and EDF R&D, Université Paris-Est, 77455 Marne la Vallée, FranceCorrespondence[email protected]

Marc BocquetCEREA, Joint Laboratory École des Ponts ParisTech and EDF R&D, Université Paris-Est, 77455 Marne la Vallée, France

Yelva RoustanCEREA, Joint Laboratory École des Ponts ParisTech and EDF R&D, Université Paris-Est, 77455 Marne la Vallée, France

Anne MathieuInstitut de Radioprotection et de Sûreté Nucléaire (IRSN), PRP-CRI, SESUC, BMCA, FR-92262 Fontenay-aux-Roses, France

Arnaud QuérelInstitut de Radioprotection et de Sûreté Nucléaire (IRSN), PRP-CRI, SESUC, BMCA, FR-92262 Fontenay-aux-Roses, France

Article: 31682 | Received 01 Mar 2016, Accepted 14 Aug 2016, Published online: 20 Sep 2016

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https://doi.org/10.3402/tellusb.v68.31682
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Gregor Skok. (2023) Precipitation attribution distance. Atmospheric Research 295, pages 106998.
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Elissar Al Aawar, Samah El Mohtar, Issam Lakkis, Abdulilah K. Alduwais & Ibrahim Hoteit. (2023) Bayesian source identification of urban-scale air pollution from point and field concentration measurements. Computational Geosciences 27:4, pages 605-626.
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Pierre J. Vanderbecken, Joffrey Dumont Le Brazidec, Alban Farchi, Marc Bocquet, Yelva Roustan, Élise Potier & Grégoire Broquet. (2023) Accounting for meteorological biases in simulated plumes using smarter metrics. Atmospheric Measurement Techniques 16:6, pages 1745-1766.
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Jared C. Magyar & Malcolm Sambridge. (2023) Hydrological objective functions and ensemble averaging with the Wasserstein distance. Hydrology and Earth System Sciences 27:5, pages 991-1010.
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Dominik Brunner, Gerrit Kuhlmann, Stephan Henne, Erik Koene, Bastian Kern, Sebastian Wolff, Christiane Voigt, Patrick Jöckel, Christoph Kiemle, Anke Roiger, Alina Fiehn, Sven Krautwurst, Konstantin Gerilowski, Heinrich Bovensmann, Jakob Borchardt, Michal Galkowski, Christoph Gerbig, Julia Marshall, Andrzej Klonecki, Pascal Prunet, Robert Hanfland, Margit Pattantyús-Ábrahám, Andrzej Wyszogrodzki & Andreas Fix. (2023) Evaluation of simulated CO 2 power plant plumes from six high-resolution atmospheric transport models . Atmospheric Chemistry and Physics 23:4, pages 2699-2728.
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Alice Crawford. (2020) The Use of Gaussian Mixture Models with Atmospheric Lagrangian Particle Dispersion Models for Density Estimation and Feature Identification. Atmosphere 11:12, pages 1369.
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Ming Li, Huidong Jin & Jaclyn N. Brown. (2020) Making the Output of Seasonal Climate Models More Palatable to Agriculture: A Copula-Based Postprocessing Method. Journal of Applied Meteorology and Climatology 59:3, pages 497-515.
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Peter Stucki, Paul Froidevaux, Marcelo Zamuriano, Francesco Alessandro Isotta, Martina Messmer & Andrey Martynov. (2020) Simulations of the 2005, 1910, and 1876 Vb cyclones over the Alps – sensitivity to model physics and cyclonic moisture flux. Natural Hazards and Earth System Sciences 20:1, pages 35-57.
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. 2019. Environmental Contamination from the Fukushima Nuclear Disaster. Environmental Contamination from the Fukushima Nuclear Disaster 62 111 .

Yoann Robin, Mathieu Vrac, Philippe Naveau & Pascal Yiou. (2019) Multivariate stochastic bias corrections with optimal transport. Hydrology and Earth System Sciences 23:2, pages 773-786.
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Long Li, Arthur Vidard, François-Xavier Le Dimet & Jianwei Ma. (2019) Topological data assimilation using Wasserstein distance. Inverse Problems 35:1, pages 015006.
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Sabine Radanovics, Jean-Philippe Vidal & Eric Sauquet. (2018) Spatial Verification of Ensemble Precipitation: An Ensemble Version of SAL. Weather and Forecasting 33:4, pages 1001-1020.
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Nelson Feyeux, Arthur Vidard & Maëlle Nodet. (2018) Optimal transport for variational data assimilation. Nonlinear Processes in Geophysics 25:1, pages 55-66.
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Y. Liu, J.‐M. Haussaire, M. Bocquet, Y. Roustan, O. Saunier & A. Mathieu. (2017) Uncertainty quantification of pollutant source retrieval: comparison of Bayesian methods with application to the Chernobyl and Fukushima Daiichi accidental releases of radionuclides. Quarterly Journal of the Royal Meteorological Society 143:708, pages 2886-2901.
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Using the Wasserstein distance to compare fields of pollutants: application to the radionuclide atmospheric dispersion of the Fukushima-Daiichi accident

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Using the Wasserstein distance to compare fields of pollutants: application to the radionuclide atmospheric dispersion of the Fukushima-Daiichi accident

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