Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 85-101 |
| Number of pages | 17 |
| Journal | GEOCHEMICAL JOURNAL |
| Volume | 52 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jan 1 2018 |
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All Science Journal Classification (ASJC) codes
- Geophysics
- Geochemistry and Petrology
Cite this
Lessons learned from atmospheric modeling studies after the Fukushima nuclear accident : Ensemble simulations, data assimilation, elemental process modeling, and inverse modeling. / Kajino, Mizuo; Sekiyama, Tsuyoshi Thomas; Mathieu, Anne; Korsakissok, Irène; Périllat, Raphaël; Quélo, Denis; Quérel, Arnaud; Saunier, Olivier; Adachi, Kouji; Girard, Sylvain; Maki, Takashi; Yumimoto, Keiya; Didier, Damien; Masson, Olivier; Igarashi, Yasuhito.
In: GEOCHEMICAL JOURNAL, Vol. 52, No. 2, 01.01.2018, p. 85-101.Research output: Contribution to journal › Review article
}
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
PY - 2018/1/1
Y1 - 2018/1/1
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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UR - http://www.scopus.com/inward/citedby.url?scp=85047509295&partnerID=8YFLogxK
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 -