TY - JOUR
T1 - Lessons learned from atmospheric modeling studies after the Fukushima nuclear accident
T2 - Ensemble simulations, data assimilation, elemental process modeling, and inverse modeling
AU - Kajino, Mizuo
AU - Sekiyama, Tsuyoshi Thomas
AU - Mathieu, Anne
AU - Korsakissok, Irène
AU - Périllat, Raphaël
AU - Quélo, Denis
AU - Quérel, Arnaud
AU - Saunier, Olivier
AU - Adachi, Kouji
AU - Girard, Sylvain
AU - Maki, Takashi
AU - Yumimoto, Keiya
AU - Didier, Damien
AU - Masson, Olivier
AU - Igarashi, Yasuhito
N1 - Funding Information:
This research was mainly supported by JSPS and MAEDI under the Japan-France Integrated Action Program (SAKURA) and the Japanese Radioactivity Survey from the Nuclear Regulation Authority, Japan. It was partly supported by the Fundamental Research Budget of MRI (C3), JSPS KAKENHI Grant Number JP17K00533, and the Grants-in-Aid for Scientific Research on Innovative Areas (JP24110002 and JP20110003) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT).
Funding Information:
Acknowledgements—This research was mainly supported by JSPS and MAEDI under the Japan-France Integrated Action Program (SAKURA) and the Japanese Radioactivity Survey from the Nuclear Regulation Authority, Japan. It was partly supported by the Fundamental Research Budget of MRI (C3), JSPS KAKENHI Grant Number JP17K00533, and the Grants-in-Aid for Scientific Research on Innovative Areas (JP24110002 and JP20110003) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT).
Funding Information:
More than six years have passed and we have come to know a considerable amount about the behavior of radiocesium in the atmosphere, as mentioned above. However, while we know that wet deposition is one of the key processes, the size of its influence is unknown. We also know that the simulation results vary, but we do not know exactly why. Multi-model intercomparison studies can show the magnitude of uncertainty but they cannot identify the cause of uncertainty. Therefore, in order to understand the atmospheric processes, especially that of wet deposition, and to quantify the uncertainties of each component of the simulation, a research collaboration was initiated in 2013 between l’Institut de Radioprotection et de Sûreté Nucléaire (IRSN) and the Meteorological Research Institute (MRI). Our collaboration was funded by the Japan-France integrated action program (SAKURA) of the Japan Society for the Promotion of Science (JSPS) and the Ministère des Affaires Étrangères et du Développement International (MAEDI) from September 2014 to August 2016.
Publisher Copyright:
Copyright © 2018 by The Geochemical Society of Japan.
PY - 2018
Y1 - 2018
N2 - Modeling studies on the atmospheric diffusion and deposition of the radiocesium associated with the Fukushima Daiichi Nuclear Power Plant accident is reviewed here, with a focus on a research collaboration between l’Institut de Radioprotection et de Sûreté Nucléaire (IRSN)—the French institute in charge of evaluating the consequences of nuclear accidents and advising authorities in case of a crisis—and the Meteorological Research Institute (MRI) of the Japan Meteorological Agency—an operational weather forecasting center in Japan. While the modelers have come to know that wet deposition is one of the key processes, the size of its influence is unknown. They also know that the simulation results vary, but they do not know exactly why. Under the research collaboration, we aimed to understand the atmospheric processes, especially wet deposition, and to quantify the uncertainties of each component of our simulation using various numerical techniques, such as ensemble simulations, data assimilation, elemental process modeling, and inverse modeling. The outcomes of these collaborative research topics are presented in this paper. We also discuss the future directions of atmospheric modeling studies: data assimilation using the high temporal and spatial resolution surface concentration measurement data, and consideration of aerosol properties such as size and hygroscopicity into wet and dry deposition schemes.
AB - Modeling studies on the atmospheric diffusion and deposition of the radiocesium associated with the Fukushima Daiichi Nuclear Power Plant accident is reviewed here, with a focus on a research collaboration between l’Institut de Radioprotection et de Sûreté Nucléaire (IRSN)—the French institute in charge of evaluating the consequences of nuclear accidents and advising authorities in case of a crisis—and the Meteorological Research Institute (MRI) of the Japan Meteorological Agency—an operational weather forecasting center in Japan. While the modelers have come to know that wet deposition is one of the key processes, the size of its influence is unknown. They also know that the simulation results vary, but they do not know exactly why. Under the research collaboration, we aimed to understand the atmospheric processes, especially wet deposition, and to quantify the uncertainties of each component of our simulation using various numerical techniques, such as ensemble simulations, data assimilation, elemental process modeling, and inverse modeling. The outcomes of these collaborative research topics are presented in this paper. We also discuss the future directions of atmospheric modeling studies: data assimilation using the high temporal and spatial resolution surface concentration measurement data, and consideration of aerosol properties such as size and hygroscopicity into wet and dry deposition schemes.
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U2 - 10.2343/geochemj.2.0503
DO - 10.2343/geochemj.2.0503
M3 - Review article
AN - SCOPUS:85047509295
VL - 52
SP - 85
EP - 101
JO - Geochemical Journal
JF - Geochemical Journal
SN - 0016-7002
IS - 2
ER -