Atmospheric Predictability: Why Butterflies Are Not of Practical Importance
By Dale R. Durran, Mark Gingrich. 2014
138 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/7dd464acacaeb4c722990f3c76cebc42fb2db237
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Roberto Buizza
- Martin Leutbecher
- B. Grisogono
- Alexander Gohm
- Mathias W. Rotach
- Joan Cuxart
- Tim N. Palmer
In Global and Planetary Change
- Roberto Buizza
- Martin Leutbecher
- B. Grisogono
- Alexander Gohm
- Dino Zardi
- Stephan F. J. De Wekker
- Joan Cuxart
- James W. Taylor
Citations in the corpus
- The forecast skill horizon (2015, methodology): “It may be a worthwhile exercise to attempt this with the refined error saturation model of Durran and Gingrich (2014) and using the mixed K−3 and K−5/3 kinetic energy spectrum observed in the atmosphere.”
- Exchange Processes in the Atmospheric Boundary Layer Over Mountainous Terrain (2018, background): “However, the lack of mesoscale detail in the initial conditions of the forecasts, the fast growth of forecast errors at small spatial scales [229,230], and the rapid downscale propagation of small initial errors at the large scales [231] imply that high-resolution predictions are not necessarily mor”