EULAG is a numerical solver for all-scale geophysical flows. The underlying
anelastic equations are either solved in an EULerian (flux form),
or a LAGrangian (advective form) framework.
EULAG model is an ideal tool to perform numerical experiments in a
virtual laboratory with time-dependent adaptive meshes and within complex,
and even time-dependent model geometries. These abilities are due to the
unique model design that combines the nonoscillatory forward-in-time (NFT)
numerical algorithms and a robust elliptic solver with generalized
coordinates. The code is written as a research tool with numerous
options controlling the numerical accuracy and to allow for a wide
range of numerical sensitivity tests. These capabilities give the
researcher confidence in the numerical solutions of his/her problem.
The formulation of the model equations allow for various derivatives of
the code including codes for stellar atmospheres, ocean currents, sand
dune propagation or biomechanical flows. EULAG is a fully parallelized
code and is easily portable between different platforms.
All the model developments and details of the numerical
algorithms are documented in a number of peer reviewed papers by
Piotr Smolarkiewicz and his colleagues. The EULAG modeling system
is developed and supported by the Cloud Systems Group in the
Mesoscale and Microscale Meteorology Division, NCAR.
Example: QBO analogue simulation
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Current announcements:
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Past events:
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6th International EULAG Users Workshop on Efficient forward-in-time methods for geophysical
research and all-scale weather prediction was held at University of Warsaw, between 28-30 May 2018. Please send a short abstract until March, 9th, 2018.
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Special issues:
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The special issue of the Acta Geophysica:
Special volume 59 (6), 2011: Modeling Atmospheric Circulations with Sound-Proof Equations
The papers collected in the present volume of Acta Geophysica address the
capability of sound-proof equations to model all-scale atmospheric circulations.
Technical topics covered in this special issue range from theoretical numerical
analysis, model design, and massively-parallel programming to simulation of
cloud processes, regional weather and global atmospheric circulations.
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The special issue of the International Journal for Numerical Methods in Fluids:
Volume 50, Issue 10 (10 April 2006) is devoted to recent developments and
applications of high resolution methods based on MPDATA - Multidimensional Positive
Definite Advection Transport Algorithm (issue edited by Joanna Szmelter).
The papers published in this issue include the material presented during
the XIII Conference on Finite Elements for Flow Problems at Swansea UK (4-6 April 2005).
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