Base de donnes open-access Johns Hopkins University

Dear colleague:
This email is to let you know about a novel on-line tool that may be useful in your turbulence research. This is the recently completed open-access Turbulence Database Cluster at Johns Hopkins University. It contains 27 Terabytes of data from a 10243 DNS of forced isotropic turbulence, with 1024 time-steps stored, covering a large-scale turn-over time. A Web services interface to the data permits numerical experiments to be run across the Internet. We invite you to visit the site

where the database and various methods to access it are explained in detail.

For example, you may run a program on your own computer that occasionally requires the velocities, pressure, various gradients, etc., anywhere in the 10244 space-time domain (e.g. if you are tracking particles). These can be obtained from a subroutine-like call from Fortran or C. You may download a directory from the website that includes the required wrapper subroutines, etc. Evaluation of velocity and pressure at arbitrary points and time is supported using interpolations (up to 8th order) executed on the database nodes. Spatial differentiation using various order approximations (up to 8th order) are also supported. Other functions such as spatial filtering are being developed. Manual web-based access is also provided.

We hope the open availability of a "large" canonical turbulence dataset will be useful to the research community, especially to our theoretical colleagues. This database enables sophisticated numerical experiments to be carried out on high-Reynolds-number turbulent flow data by anyone with a laptop computer and an internet connection.

You are welcome to use the database in your turbulence research. If you do, we would like to hear from you in order to be able to justify the continued support of the database from the funding agencies. We also ask that you cite the relevant publication (see Y. Li et al. (2008): A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence. Submitted for publication. Preprint also available at the preprint server, at href="

With best regards,

Charles Meneveau
Randal Burns
Shiyi Chen
Gregory Eyink
Alex Szalay

Johns Hopkins University

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