To exclude the uncertainties of the model results originated from the emission inventory, all models used the same emission inventory (Katata et al. 2015). The meteorological data with fine spatiotemporal resolution, which was calculated by the simulation of Japanese operational weather forecast model (JMANHM, Saito et al. 2006) coupled with the local ensemble transform Kalman Filter (LETKF) data assimilation system (NHM-LETKF), was applied for all models to reduce the uncertainties originated from the difference in the meteorological field. These points are one of the distinct differences of 2nd FDNPP-MIP from the first model intercomparson of FDNPP (Science Council of Japan, 2014), in which each model used the different emission inventory and different meteorological data. As well as the comparison among the models, the comparison between the models and in-situ measurement obtained from the aerosol sampling of the national suspended particle matter (SPM) network (Oura et al. 2015) are conducted.
The comparisons between the model results and SPM data indicate that the 137Cs concentration near the FDNPP transported without precipitation process was relatively well reproduced by using the meteorological data with fine spatiotemporal resolution. On the contrary, 137Cs concentration accompanied with precipitation has large inter-model spread. In the presentation, we will discuss the more detailed analyses about the physical process to determine the 137Cs concentration.
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