DNS 1-3 Storage Format: Difference between revisions

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= Storage Format =
= Storage Format =
Document describes the mandatory storage format and guidelines to store and classify the
The data provided is stored in HDF5 format. This can be easily read through the [https://www.hdfgroup.org/solutions/hdf5/ HDF5 library] or python's [https://www.h5py.org/ h5py]. The dataset consists of a master file which links a number of external files in the following way (in cursive the links to the external files):
data.
* '''Statistics.h5''', master file
** 01_Info
*** Dimensions
** 02_Entries
*** ''Inputs''
*** 01_Output
**** ''AdditionalQuantities''
**** ''Convection''
**** ''Production''
**** ''TurbulentDiffusion01''
**** ''TurbulentDiffusion02''
**** ''PressureStrain''
**** ''Dissipation''
**** ''TripleCorrelation''
**** ''PressureVelocity''
** 03_Nodes
*** ''Nodes''
Each of these external files contain an array of a certain number of positions (1 if scalar, 3 if vectorial or 6 if tensorial with the exception of the velocity triple correlation).
<br/>
<br/>
----
----
{{ACContribs
{{ACContribs
| authors=
| authors=Oriol Lehmkuhl, Arnau Miro
| organisation=
| organisation=Barcelona Supercomputing Center (BSC)
}}
}}
{{DNSHeaderLib
{{DNSHeaderLib

Revision as of 14:13, 15 February 2021


Front Page

Description

Computational Details

Quantification of Resolution

Statistical Data

Instantaneous Data

Storage Format

Storage Format

The data provided is stored in HDF5 format. This can be easily read through the HDF5 library or python's h5py. The dataset consists of a master file which links a number of external files in the following way (in cursive the links to the external files):

  • Statistics.h5, master file
    • 01_Info
      • Dimensions
    • 02_Entries
      • Inputs
      • 01_Output
        • AdditionalQuantities
        • Convection
        • Production
        • TurbulentDiffusion01
        • TurbulentDiffusion02
        • PressureStrain
        • Dissipation
        • TripleCorrelation
        • PressureVelocity
    • 03_Nodes
      • Nodes

Each of these external files contain an array of a certain number of positions (1 if scalar, 3 if vectorial or 6 if tensorial with the exception of the velocity triple correlation).



Contributed by: Oriol Lehmkuhl, Arnau Miro — Barcelona Supercomputing Center (BSC)

Front Page

Description

Computational Details

Quantification of Resolution

Statistical Data

Instantaneous Data

Storage Format


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