The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Interactive desktop analysis of high resolution simulations: application to turbulent plume dynamics and current sheet formation
Open accessAbstract
The ever increasing processing capabilities of the supercomputers available to computational scientists today, combined with the need for higher and higher resolution computational grids, has resulted in deluges of simulation data. Yet the computational resources and tools required to make sense of these vast numerical outputs through subsequent analysis are often far from adequate, making such analysis of the data a painstaking, if not a hopeless, task. In this paper, we describe a new tool for the scientific investigation of massive computational datasets. This tool (VAPOR) employs data reduction, advanced visualization, and quantitative analysis operations to permit the interactive exploration of vast datasets using only a desktop PC equipped with a commodity graphics card. We describe VAPORs use in the study of two problems. The first, motivated by stellar envelope convection, investigates the hydrodynamic stability of compressible thermal starting plumes as they descend through a stratified layer of increasing density with depth. The second looks at current sheet formation in an incompressible helical magnetohydrodynamic flow to understand the early spontaneous development of quasi two-dimensional (2D) structures embedded within the 3D solution. Both of the problems were studied at sufficiently high spatial resolution, a grid of 504 2 by 2048 points for the first and 1536 3 points for the second, to overwhelm the interactive capabilities of typically available analysis resources.
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DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains
Stevens, B., Satoh, M., Auger, L., Biercamp, J., Bretherton, C. S., Chen, X., Düben, P., Judt, F., Khairoutdinov, M., Klocke, D., et al. (2019) · Progress in Earth and Planetary Science · doi:10.1186/s40645-019-0304-z · Cited by 586
Maronga, B., Gryschka, M., Heinze, R., Hoffmann, F., Kanani-Sühring, F., Keck, M., Ketelsen, K., Letzel, M. O., Sühring, M., & Raasch, S. (2015) · Geoscientific Model Development · doi:10.5194/gmd-8-2515-2015 · Cited by 553
Large‐eddy simulations over Germany using ICON: a comprehensive evaluation
Heinze, R., Dipankar, A., Henken, C. C., Moseley, C., Sourdeval, O., Trömel, S., Xie, X., Adamidis, P., Ament, F., Baars, H., et al. (2017) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.2947 · Cited by 293
TURBULENT CONVECTION IN STELLAR INTERIORS. III. MEAN-FIELD ANALYSIS AND STRATIFICATION EFFECTS
Viallet, M., Meakin, C., Arnett, D., & Mocák, M. (2013) · The Astrophysical Journal · doi:10.1088/0004-637x/769/1/1 · Cited by 106
Metadata
- Authors
- Clyne, J., Mininni, P., Norton, A., & Rast, M.
- Venue
- New Journal of Physics
- Publisher
- IOP Publishing
- Published
- 2007-08-31
- Volume
- 9
- Issue
- 8
- Pages
- 301-301
- ISSN
- 1367-2630 (ISSN-L)
- OpenAlex
- W2126014082
- Cited by
- 286
- References
- 26
- FWCI
- 24.05
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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