A novel Python module for statistical analysis of turbulence (P-SAT) in geophysical flows
Abstract We present Python Statistical Analysis of Turbulence (P-SAT), a lightweight, Python framework that can automate the process of parsing, filtering, computation of various turbulent statistics, spectra computation for steady flows. P-SAT framework is capable to work with single as well as on...
Guardado en:
Autores principales: | Mayank Agarwal, Vishal Deshpande, David Katoshevski, Bimlesh Kumar |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/94913bda813f4319b1c987930d4df691 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Investigation of the Effect of Vegetation on Flow Structures and Turbulence Anisotropy around Semi-Elliptical Abutment
por: Seyedeh Fatemeh Nabaei, et al.
Publicado: (2021) -
CRAPPY: Command and Real-Time Acquisition in Parallelized Python, a Python module for experimental setups
por: Victor Couty, et al.
Publicado: (2021) -
OpenMechanochem: A Python module for mechanochemical simulations
por: Danjo De Chavez, et al.
Publicado: (2021) -
A Fast and Generic Method to Identify Parameters in Complex and Embedded Geophysical Models: The Example of Turbulent Mixing in the Ocean
por: Clement Aldebert, et al.
Publicado: (2021) -
In-Orbit Attitude Determination of the UVSQ-SAT CubeSat Using TRIAD and MEKF Methods
por: Adrien Finance, et al.
Publicado: (2021)