
The Turbulence Numerics TeamProgress in the understanding of turbulent flows is somewhat limited, except in the experimental and observational domains. Following Moore's law of doubling of computing power every 18 months, doubling the grid resolution in three dimensions occurs every six years, so direct numerical simulations (DNS) of turbulence advance slowly in Reynolds number (Re). This, and the fact that turbulent behavior may be dominated by intermittent structures, are the driving forces behind one of the main objectives of the team, i.e. to develop adaptive mesh refinement codes for the community. Combining such codes, in a quasiDNS way, with different kinds of modeling, where hopefully the behavior of the flow at a given Re (in contrast to the limit of large Re) can be approached, represent our main directions of research. In this context, the work in TNT is organized around two main themes. The forte of the team may be in the investigation of the dynamics of
turbulent flows, in particular when coupled to magnetic fields, with
applications to the generation of such fields (the dynamo problem, e.g.,
in the context of the Earth and the Sun), and to solarterrestrial interactions
in the Solar Wind, both issues being NCAR priorities as well. It is also
in the dialectic approach of considering different flows and contrasting
their properties, in the hope of learning from both what is universal
and what is specific to a given configuration in a parameter space that
is large. The challenge is to pursue this approach incorporating realistic
conditions that pertain to the many facets of geophysical turbulence,
as per the agenda of NCAR. We deal more with fundamental geophysics than
applied mathematics, but one driving force of our research is indeed
to give the applied mathematics community the most accurate data at the
highest possible Reynolds number possible. The staff in TNT is composed of
The main focus areas of TNT, with emphasis on present developments, can be found in the white paper. 

Button image courtesy of P. Mininni et al., arXiv:physics/0602148, using VAPOR software  Top image courtesy of Prof. M. GadelHak, UVA (efluids.com)  
UCAR  NSF  CISL  Last modified November 23rd 2006 by amelie@purdue.edu 