Four direct numerical simulations of fully developed flow at
different Reynolds numbers in a plane channel have been performed with POONGBACK code which uses
the spectral numerical method of Kim, Moin and Moser (J. Fluid
Mech. vol 177, page 133). The friction Reynolds numbers of the
simulations are 180, 550, 1000, 2000 and 5200. The data may be added to from
time to time and corrections will be made if needed.

A comprehensive set of statistical data has been collected from these simulations and is available. It includes mean, Reynolds stress, terms in the Reynolds stress transport equations, etc. The data is in a series of text files.#### Acknowledgement

When publishing results obtained using the
channel flow fields provided here, we ask you to cite the source of
the data through the following publications

#### Raw data of velocity fields

Please, contact us for raw data.

#### Reference for simulation detail

#### Contact Information

*Preparing the data was supported by the National Science Foundation under
Award Number [OCI-0749223] and the Argonne Leadership Computing Facility at Argonne National Laboratory under Early Science Program(ESP) and Innovative and Novel
Computational Impact on Theory and Experiment Program(INCITE) 2013.

A comprehensive set of statistical data has been collected from these simulations and is available. It includes mean, Reynolds stress, terms in the Reynolds stress transport equations, etc. The data is in a series of text files.

- Data analysis :

Myoungkyu Lee and Robert D. Moser "Direct numerical simulation of turbulent channel flow up to Re_tau = 5200", Journal of Fluid Mechanics, 2015, vol. 774, pp. 395-415

- Code development & Optimization :

Myoungkyu Lee, Nicholas Malaya and Robert D. Moser, 2013, "Petascale direct numerical simulation of turbulent channel flow on up to 786K cores", Proc. SC13: Intâ€™l Conf. for High-Performance Computing, Networking, Storage and Analysis

- Code verification, I/O, & Running simulation :

Myoungkyu Lee, Rhys Ulerich, Nicholas Malaya, and Robert D. Moser, 2014, "Experiences from Leadership Computing in Simulations of Turbulent Fluid Flows", Computing in Sci & Eng

- Uncertainty estimation :

Todd Oliver, Nicholas Malaya, Rhys Ulerich, Robert D. Moser, 2014, "Estimating uncertainties in statistics computed from direct numerical simulation", Physics of Fluids