Articles | Volume 20, issue 6
https://doi.org/10.5194/acp-20-3589-2020
https://doi.org/10.5194/acp-20-3589-2020
Research article
 | 
25 Mar 2020
Research article |  | 25 Mar 2020

Application of linear minimum variance estimation to the multi-model ensemble of atmospheric radioactive Cs-137 with observations

Daisuke Goto, Yu Morino, Toshimasa Ohara, Tsuyoshi Thomas Sekiyama, Junya Uchida, and Teruyuki Nakajima

Data sets

Database of Hourly Atmospheric Concentrations of Radiocesium (134Cs and 137Cs) in Suspended Particulate Matter Collected in March 2011 at 99 Air Pollution Monitoring Stations in Eastern Japan Y. Oura,M. Ebihara, H. Tsuruta, T. Nakajima, T. Ohara, M. Ishimoto, H. Sawahata, Y. Katsumura, and W. Nitta http://www.radiochem.org/paper/JN152/jn15201_Appendix_A_rev.pdf

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Short summary
To obtain reliable distribution of atmospheric Cs-137 emitted from the Fukushima accident, we proposed a multi-model ensemble (MME) method using observations. We found the MME-estimated Cs-137 concentrations using all available observations had lower bias, lower uncertainty, higher correlation and higher precision against the observations compared to single-model results. It can be applied not only to the Cs-137 distribution but also any atmospheric materials such as PM2.5 distribution.
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