Transport and deposition of radionuclides after the Fukushima nuclear accident: international model inter-comparison in the framework of a WMO Task Team
In the framework of a Task Team set up after the Fukushima accident sponsored by WMO, the atmospheric transport
and deposition models (ATDMs) FLEXPART (Austria), HYSPLIT (U.S.), MLDP0 (Canada), NAME (UK)
and RATM (Japan) were inter-compared. These models are well-known and widely used for emergency response
activities. As alternative model input data, JMA made available a Meso-Analysis with 5 km/ 3 hour resolution, and
a radar/rain gauge precipitation analysis with 1 km and 30 minutes resolution. To allow maximum flexibility regarding
the release rates of key nuclides, the computations were based on the concept of source-receptor matrices,
in this connection also called transfer coefficient matrices (TCM). The matrices are calculated every 3 hours after
11 March 2011 00 UTC, based on unit emissions, and thus can be overlaid with any present and future release
scenario that becomes established. As computational species, the model considered tracers, depositing gases and
depositing aerosols, allowing accounting for the range of substances emitted during a nuclear accident. The model
comparison was based on observed deposition patterns of Cesium-137 in the Fukushima province as collected by
MEXT/USDOE shortly after the accident, and a few available in situ stations measuring radioactive isotopes. To
perform a statistical comparison, established parameters like correlation coefficient (r), fractional bias (FB) and
figure of merit in space (FMS) were used. A further ensemble analysis was performed to determine what subset
of model results out of all available would provide non-redundant information and thus is optimal to describe the
transport and deposition during the accident. The investigation showed (i) that a TCM-based calculation approach
has a lot of merits due to its flexibility, (ii) that models tended to perform better if they were run in improved resolution
or directly with the Japanese Meso-analysis, (iii) that the model results depend on the selection of the source
term with the term provided by JAAE ranking best in terms of reproducing local deposition patterns, and (iv) that
the ensemble analysis is a very useful approach to select optimized subsets of models in case that measurement
data are already available.
WOTAWA Gerhard;
DRAXLER Roland;
ARNOLD Delia;
GALMARINI Stefano;
HORT Mathew;
JONES A.;
LEADBETTER Susan;
MALO Alain;
MAURER Christian;
ROLPH Glenn;
KAZUO Saito;
SERVRANCKX Rene;
SHIMBORI Toshiki;
SOLAZZO Efisio;
2014-01-31
Copernicus
JRC78501
1607-7962,
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