arXiv
Open Access
2014
Predicting 2D Turbulence
Rory Cerbus
Walter Goldburg
Abstrak
Prediction is a fundamental objective of science. It is more difficult for chaotic and complex systems like turbulence. Here we use information theory to quantify spatial prediction using experimental data from a turbulent soap film. At high Reynolds number $Re$ where a cascade exists, turbulence is becoming easier to predict as the inertial range broadens. A transition corresponding to the emergence of a cascade at low $Re$ is detected by looking at turbulence through prediction.
Topik & Kata Kunci
Penulis (2)
R
Rory Cerbus
W
Walter Goldburg
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2014
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓