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ACP | Articles | Volume 20, issue 6
Atmos. Chem. Phys., 20, 3589–3607, 2020
https://doi.org/10.5194/acp-20-3589-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 20, 3589–3607, 2020
https://doi.org/10.5194/acp-20-3589-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

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.
To obtain reliable distribution of atmospheric Cs-137 emitted from the Fukushima accident, we...
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