Published June 28, 2023
| Version 1.0
Dataset
Open
Dataset for large-scale self-organisation in dry turbulent atmospheres
Authors/Creators
- 1. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Fı́sica, & CONICET - Universidad de Buenos Aires, Instituto de Fı́sica Interdisciplinaria y Aplicada (INFINA); Ciudad Universitaria, 1428 Buenos Aires, Argentina
- 2. Laboratoire de Physique de l'Ecole normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris-Diderot; Sorbonne Paris Cité, Paris
- 3. Université de Lyon, CNRS, École Centrale de Lyon, INSA Lyon, Université Claude Bernard Lyon 1, Laboratoire de Mécanique des Fluides et d'Acoustique, UMR5509 - F-69134; Écully, France
- 4. Department of Physics, University of California, Berkeley, 366 Physics North MC 7300; Berkeley, 94720, California, USA
Description
Datasets for all figures in "Large-scale self-organisation in dry turbulent atmospheres". The data comes from a simulation of the Boussinesq equations in a triply periodic domain of vertical height H and horizontal dimension L = 32H, in the presence of gravity, a stable mean density gradient, and solid body rotation in the vertical direction. Datasets are in TXT format except for two dimensional spectra, which are stored in NetCDF format.
Files
FIGURE2_A_left.txt
Files
(20.6 MB)
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md5:a55a68d1f94620eb4dff0f378660bd7e
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479.4 kB | Preview Download |
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md5:a98356b6ea989cb390b7262ee0c7680f
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md5:9f2ab6c9f75aa4eb8055d46e81759310
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250 Bytes | Preview Download |
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md5:5196d9611430f2aa5341fab15b63637b
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479.4 kB | Preview Download |
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md5:ec0e3d43dc62735fc2c4263401ae4c1b
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md5:88fe4ab4dd8b87c1204d7731080c861c
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md5:e28f8842725d1a4d2885d3cbc6a370a7
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md5:9f7829417f30ab34f7e5fc04c7682899
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9.5 MB | Download |
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md5:dcb51f7fe6cc3bce2c03e41859f58cf7
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9.5 MB | Download |