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Titel |
Anelastic approach for mesoscale numerical weather prediction - a validation of the EULAG model |
VerfasserIn |
Marcin J. Kurowski, Bogdan Rosa, Zbigniew Piotrowski, Michal Ziemianski |
Konferenz |
EGU General Assembly 2010
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 12 (2010) |
Datensatznummer |
250043549
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Zusammenfassung |
Numerical weather prediction (NWP) is a basic tool supporting operational weather
forecasting. Among the issues related to modeling of complex atmospheric flows,
one of the most important is a conservation of dynamical variables such as mass,
momentum and energy. Other problem regards numerical stability of the flow over
steep orography. As the spatial resolution of NWP models increases, approaching
~1km, the presence of steep slopes might result in an emergence of numerical
problems.
The above issues were successfully solved in the frame of the EULAG model, making it a
prospective candidate for the future dynamical core of a new generation regional NWP
models. EULAG is a non-hydrostatic anelastic code employing the finite-volume
non-oscillatory positive definite transport algorithm MPDATA, able to solve the flow
equations both in Eulerian and Lagrangian framework.
In order to verify an applicability of anelastic approximation for representation of
mesoscale flows and examine the robustness of the EULAG solver, a series of benchmark
tests was conducted. Here, we present the results of the idealized tests, including: cold
density current along with complimentary orographics experiments, inertia-gravity waves and
mountain waves. The results of the experiments confirm the applicability of anelastic
approximation for mesoscale NWP since all characteristic features of the solutions obtained
with fully-compressible reference models were accurately reconstructed using EULAG. |
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