DNS 1-3 Storage Format: Difference between revisions
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= Storage Format = | = Storage Format = | ||
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): | |||
* '''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
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
- 01_Info
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)
© copyright ERCOFTAC 2024