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Titel |
Ground-based remote sensing profiling and numerical weather prediction model to manage nuclear power plants meteorological surveillance in Switzerland |
VerfasserIn |
B. Calpini, D. Ruffieux, J.-M. Bettems, C. Hug, P. Huguenin, H.-P. Isaak, P. Kaufmann, O. Maier, P. Steiner |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1867-1381
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Measurement Techniques ; 4, no. 8 ; Nr. 4, no. 8 (2011-08-23), S.1617-1625 |
Datensatznummer |
250002079
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Publikation (Nr.) |
copernicus.org/amt-4-1617-2011.pdf |
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Zusammenfassung |
The meteorological surveillance of the four nuclear power plants in
Switzerland is of first importance in a densely populated area such as the
Swiss Plateau. The project "Centrales Nucléaires et
Météorologie" CN-MET aimed at providing a new security tool based
on one hand on the development of a high resolution numerical weather
prediction (NWP) model. The latter is providing essential nowcasting
information in case of a radioactive release from a nuclear power plant in
Switzerland. On the other hand, the model input over the Swiss Plateau is
generated by a dedicated network of surface and upper air observations
including remote sensing instruments (wind profilers and
temperature/humidity passive microwave radiometers). This network is built
upon three main sites ideally located for measuring the inflow/outflow and
central conditions of the main wind field in the planetary boundary layer
over the Swiss Plateau, as well as a number of surface automatic weather
stations (AWS). The network data are assimilated in real-time into the fine
grid NWP model using a rapid update cycle of eight runs per day (one
forecast every three hours). This high resolution NWP model has replaced the
former security tool based on in situ observations (in particular one
meteorological mast at each of the power plants) and a local dispersion
model. It is used to forecast the dynamics of the atmosphere in the
planetary boundary layer (typically the first 4 km above ground layer) and
over a time scale of 24 h. This tool provides at any time (e.g. starting
at the initial time of a nuclear power plant release) the best picture of
the 24-h evolution of the air mass over the Swiss Plateau and furthermore
generates the input data (in the form of simulated values substituting in situ observations)
required for the local dispersion model used at each of the nuclear power
plants locations. This paper is presenting the concept and two validation
studies as well as the results of an emergency response exercise performed
in winter 2009. |
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