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

Author
Organization
Abstract
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.
Keywords
Atmospheric transport modelling, Nuclear explosion monitoring, Medical isotope production, Radioxenon background, Model inter-comparison and evaluation, VARIATIONAL DATA ASSIMILATION, CTBT VERIFICATION, PRODUCTION FACILITIES, XENON ISOTOPES, SYSTEM, FLEXPART, IMPACT, RADIONUCLIDES, SUPPORT, EUROPE

Citation

Please use this url to cite or link to this publication:

MLA
Maurer, Christian, et al. “International Challenge to Model the Long-Range Transport of Radioxenon Released from Medical Isotope Production to Six Comprehensive Nuclear-Test-Ban Treaty Monitoring Stations.” JOURNAL OF ENVIRONMENTAL RADIOACTIVITY, vol. 192, 2018, pp. 667–86, doi:10.1016/j.jenvrad.2018.01.030.
APA
Maurer, C., Baré, J., Kusmierczyk-Michulec, J., Crawford, A., Eslinger, P. W., Seibert, P., … Bowyer, T. W. (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. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY, 192, 667–686. https://doi.org/10.1016/j.jenvrad.2018.01.030
Chicago author-date
Maurer, Christian, Jonathan Baré, Jolanta Kusmierczyk-Michulec, Alice Crawford, Paul W. Eslinger, Petra Seibert, Blake Orr, et al. 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.” JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 192: 667–86. https://doi.org/10.1016/j.jenvrad.2018.01.030.
Chicago author-date (all authors)
Maurer, Christian, 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 Quèlo, Anne Mathieu, Yuichi Kijima, Ariel Stein, Tianfeng Chai, Fong Ngan, Susan J. Leadbetter, Pieter De Meutter, Andy Delcloo, Rich Britton, Ashley Davies, Lee G. Glascoe, Donald D. Lucas, Matthew D. Simpson, Phil Vogt, Martin Kalinowski, and Theodore W. Bowyer. 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.” JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 192: 667–686. doi:10.1016/j.jenvrad.2018.01.030.
Vancouver
1.
Maurer C, Baré J, Kusmierczyk-Michulec J, Crawford A, Eslinger PW, Seibert P, et al. International challenge to model the long-range transport of radioxenon released from medical isotope production to six Comprehensive Nuclear-Test-Ban Treaty monitoring stations. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY. 2018;192:667–86.
IEEE
[1]
C. Maurer et al., “International challenge to model the long-range transport of radioxenon released from medical isotope production to six Comprehensive Nuclear-Test-Ban Treaty monitoring stations,” JOURNAL OF ENVIRONMENTAL RADIOACTIVITY, vol. 192, pp. 667–686, 2018.
@article{8746496,
  abstract     = {{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.}},
  author       = {{Maurer, Christian and Baré, Jonathan and Kusmierczyk-Michulec, Jolanta and Crawford, Alice and Eslinger, Paul W. and Seibert, Petra and Orr, Blake and Philipp, Anne and Ross, Ole and Generoso, Sylvia and Achim, Pascal and Schoeppner, Michael and Malo, Alain and Ringbom, Anders and Saunier, Olivier and Quèlo, Denis and Mathieu, Anne and Kijima, Yuichi and Stein, Ariel and Chai, Tianfeng and Ngan, Fong and Leadbetter, Susan J. and Meutter, Pieter De and Delcloo, Andy and Britton, Rich and Davies, Ashley and Glascoe, Lee G. and Lucas, Donald D. and Simpson, Matthew D. and Vogt, Phil and Kalinowski, Martin and Bowyer, Theodore W.}},
  issn         = {{0265-931X}},
  journal      = {{JOURNAL OF ENVIRONMENTAL RADIOACTIVITY}},
  keywords     = {{Atmospheric transport modelling,Nuclear explosion monitoring,Medical isotope production,Radioxenon background,Model inter-comparison and evaluation,VARIATIONAL DATA ASSIMILATION,CTBT VERIFICATION,PRODUCTION FACILITIES,XENON ISOTOPES,SYSTEM,FLEXPART,IMPACT,RADIONUCLIDES,SUPPORT,EUROPE}},
  language     = {{eng}},
  pages        = {{667--686}},
  title        = {{International challenge to model the long-range transport of radioxenon released from medical isotope production to six Comprehensive Nuclear-Test-Ban Treaty monitoring stations}},
  url          = {{http://doi.org/10.1016/j.jenvrad.2018.01.030}},
  volume       = {{192}},
  year         = {{2018}},
}

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