The k−3 and k−5/3 Energy Spectrum of Atmospheric Turbulence: Quasigeostrophic Two-Level Model Simulation

By Ka-Kit Tung, Wendell Orlando. 2001

186 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Atmospheric Science, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/495f2ac03c9926c82309b0dda6ea9cdcb8e2f5dc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

1. G. Shutts
2. William C. Skamarock

In Atmospheric Science

1. G. Shutts
2. K. Hamilton
3. Wataru Ohfuchi
4. Y. Takahashi
5. Christiane Jablonowski
6. David L. Williamson
7. Tim N. Palmer
8. Martin Leutbecher

In Computational Mechanics

1. K. Hamilton
2. Wataru Ohfuchi
3. G. Shutts
4. Y. Takahashi

Citations in the corpus

• A kinetic energy backscatter algorithm for use in ensemble prediction systems (2005, methodology): “convective cloud clustering on a scale that would be functionally dependent on the local value of convective available potential energy (APE). In contrast, the CA used here is independent of the forecast model, i.e. it is simply a pattern generator. It does however have the potential to be coupled t”
• The energy cascade in a strongly stratified fluid (2006, unknown): “In this respect, we differ from Tung & Orlando (2003) who claim to have reproduced the whole spectrum range seen in figure 1, including both the k−3h -range and the k −5/3 h -range, in a quasi-geostrophic (rotationally dominated) two-level model simulation.”
• Mesoscale spectrum of atmospheric motions investigated in a very fine resolution global general circulation model (2008, background): “Tung and Orlando [2003] performed calculations in a two-layer quasi-geostrophic model and found a shallowing of the spectrum in the mesoscale.”