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Dive into the research topics where Alain Malo is active.

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Featured researches published by Alain Malo.


Journal of Environmental Radioactivity | 2016

International challenge to predict the impact of radioxenon releases from medical isotope production on a comprehensive nuclear test ban treaty sampling station.

Paul W. Eslinger; Ted W. Bowyer; Pascal Achim; Tianfeng Chai; Benoit Deconninck; Katie Freeman; Sylvia Generoso; Philip Hayes; Verena Heidmann; Ian Hoffman; Yuichi Kijima; Monika Krysta; Alain Malo; Christian Maurer; Fantine Ngan; Peter Robins; J. Ole Ross; Olivier Saunier; Clemens Schlosser; Michael Schöppner; Brian T. Schrom; Petra Seibert; Ariel F. Stein; Kurt Ungar; Jing Yi

The International Monitoring System (IMS) is part of the verification regime for the Comprehensive Nuclear-Test-Ban-Treaty Organization (CTBTO). At entry-into-force, half of the 80 radionuclide stations will be able to measure concentrations of several radioactive xenon isotopes produced in nuclear explosions, and then the full network may be populated with xenon monitoring afterward. An understanding of natural and man-made radionuclide backgrounds can be used in accordance with the provisions of the treaty (such as event screening criteria in Annex 2 to the Protocol of the Treaty) for the effective implementation of the verification regime. Fission-based production of (99)Mo for medical purposes also generates nuisance radioxenon isotopes that are usually vented to the atmosphere. One of the ways to account for the effect emissions from medical isotope production has on radionuclide samples from the IMS is to use stack monitoring data, if they are available, and atmospheric transport modeling. Recently, individuals from seven nations participated in a challenge exercise that used atmospheric transport modeling to predict the time-history of (133)Xe concentration measurements at the IMS radionuclide station in Germany using stack monitoring data from a medical isotope production facility in Belgium. Participants received only stack monitoring data and used the atmospheric transport model and meteorological data of their choice. Some of the models predicted the highest measured concentrations quite well. A model comparison rank and ensemble analysis suggests that combining multiple models may provide more accurate predicted concentrations than any single model. None of the submissions based only on the stack monitoring data predicted the small measured concentrations very well. Modeling of sources by other nuclear facilities with smaller releases than medical isotope production facilities may be important in understanding how to discriminate those releases from releases from a nuclear explosion.


Journal of Environmental Radioactivity | 2018

International challenge to model the long-range transport of radioxenon released from medical isotope production to six Comprehensive Nuclear-Test-Ban Treaty monitoring stations

Christian Maurer; Jonathan Baré; Jolanta Kusmierczyk-Michulec; Alice Crawford; Paul W. Eslinger; Petra Seibert; Blake Orr; Anne Philipp; Ole Ross; Sylvia Generoso; Pascal Achim; Michael Schoeppner; Alain Malo; Anders Ringbom; Olivier Saunier; Denis Quélo; Anne Mathieu; Yuichi Kijima; Ariel F. Stein; Tianfeng Chai; Fong Ngan; Susan Leadbetter; Pieter De Meutter; Andy Delcloo; Rich Britton; Ashley V. Davies; Lee Glascoe; Donald D. Lucas; Matthew Simpson; Phil Vogt

After performing a first multi-model exercise in 2015 a comprehensive and technically more demanding atmospheric transport modelling challenge was organized in 2016. Release data were provided by the Australian Nuclear Science and Technology Organization radiopharmaceutical facility in Sydney (Australia) for a one month period. Measured samples for the same time frame were gathered from six International Monitoring System stations in the Southern Hemisphere with distances to the source ranging between 680 (Melbourne) and about 17,000 km (Tristan da Cunha). Participants were prompted to work with unit emissions in pre-defined emission intervals (daily, half-daily, 3-hourly and hourly emission segment lengths) and in order to perform a blind test actual emission values were not provided to them. Despite the quite different settings of the two atmospheric transport modelling challenges there is common evidence that for long-range atmospheric transport using temporally highly resolved emissions and highly space-resolved meteorological input fields has no significant advantage compared to using lower resolved ones. As well an uncertainty of up to 20% in the daily stack emission data turns out to be acceptable for the purpose of a study like this. Model performance at individual stations is quite diverse depending largely on successfully capturing boundary layer processes. No single model-meteorology combination performs best for all stations. Moreover, the stations statistics do not depend on the distance between the source and the individual stations. Finally, it became more evident how future exercises need to be designed. Set-up parameters like the meteorological driver or the output grid resolution should be pre-scribed in order to enhance diversity as well as comparability among model runs.


Geophysical Research Letters | 2016

Direct injection of water vapor into the stratosphere by volcanic eruptions

Christopher E. Sioris; Alain Malo; Chris A. McLinden; Real D'Amours

While theoretical studies show that water vapor (WV) can be directly injected into the stratosphere during a volcanic eruption, few observations of such a phenomenon exist. The Microwave Limb Sounder observed stratospheric injection of WV following the 2015 Calbuco eruption. Lower stratospheric mixing ratios exceeded 10 ppmv for a few days downwind of the injection location. Plume transport is confirmed by back-trajectory modelling. Due to the short duration and limited spatial extent of the enhancement, climatic impact is expected to be negligible. This letter provides spatiotemporal analysis of a volcanogenic pulse of lower stratospheric WV as it dispersed. The inferred mass of stratospheric WV from this eruption of 2 Mt and the rapid evanescence of the enhancement is similar to what has been observed for other eruptions, suggesting that injection by moderately explosive eruptions is not an effective mechanism for large-scale stratospheric hydration.


Journal of Environmental Radioactivity | 2015

World Meteorological Organization's model simulations of the radionuclide dispersion and deposition from the Fukushima Daiichi nuclear power plant accident☆

Roland R. Draxler; D. Arnold; Masamichi Chino; Stefano Galmarini; Matthew C. Hort; Andy Jones; Susan Leadbetter; Alain Malo; Christian Maurer; Glenn D. Rolph; Kazuo Saito; Rene Servranckx; Toshiki Shimbori; Efisio Solazzo; Gerhard Wotawa


Atmospheric Environment | 2010

Characterisation of particulate exposure during fireworks displays

Alexandre Joly; Audrey Smargiassi; Tom Kosatsky; Michel Fournier; Ewa Dabek-Zlotorzynska; Valbona Celo; David Mathieu; Rene Servranckx; Real D'Amours; Alain Malo; Jeffrey R. Brook


Journal of Geophysical Research | 2010

Application of the atmospheric Lagrangian particle dispersion model MLDP0 to the 2008 eruptions of Okmok and Kasatochi volcanoes

Real D'Amours; Alain Malo; Rene Servranckx; Dov Bensimon; Serge Trudel; Jean-Philippe Gauthier-Bilodeau


Atmosphere-ocean | 2015

The Canadian Meteorological Centre's Atmospheric Transport and Dispersion Modelling Suite

R. d'Amours; Alain Malo; Thomas K. Flesch; John D. Wilson; Jean-Philippe Gauthier; René Servranckx


Archive | 2004

A Zeroth Order Lagrangian Particle Dispersion Model MLDP0

Real D'Amours; Alain Malo


Archive | 2014

Bayesian Inference for Source Term Estimation: Application to the International Monitoring System Radionuclide Network

Eugene Yee; Ian Hoffman; Kurt Ungar; Alain Malo; Nils Ek; Pierre Bourgouin


Geophysical Research Letters | 2016

Direct injection of water vapor into the stratosphere by volcanic eruptions: VOLCANIC WATER IN THE STRATOSPHERE

Christopher E. Sioris; Alain Malo; Chris A. McLinden; Real D'Amours

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Real D'Amours

Meteorological Service of Canada

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Rene Servranckx

Meteorological Service of Canada

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Ariel F. Stein

Air Resources Laboratory

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Paul W. Eslinger

Pacific Northwest National Laboratory

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Tianfeng Chai

Air Resources Laboratory

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Chris A. McLinden

Meteorological Service of Canada

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