Stochastic Models of Quasigeostrophic Turbulence

By T. Delsole. 2004

136 citations recorded by the source corpus.

Subfields: Atmospheric Science, Computational Mechanics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/716644e963bb9584c0d19db0e9c1ffdfe758d68f

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

1. Andrew J. Majda
2. Raffaele Ferrari
3. M. Nikurashin
4. Michael K. Tippett
5. Christian L. E. Franzke
6. T. Delsole
7. P. Sura
8. Eric Vanden-Eijnden

In Computational Mechanics

1. Andrew J. Majda
2. Raffaele Ferrari
3. Michael K. Tippett
4. M. Nikurashin
5. P. Sardeshmukh
6. P. Sura
7. Christian L. E. Franzke
8. Eric Vanden-Eijnden

In Global and Planetary Change

1. Andrew J. Majda
2. Michael K. Tippett
3. M. Nikurashin
4. T. Delsole
5. Raffaele Ferrari
6. Christian L. E. Franzke
7. P. Sura
8. Eric Vanden-Eijnden

Citations in the corpus

• Low-Order Stochastic Mode Reduction for a Realistic Barotropic Model Climate (2005, background): “There is a recent survey of such strategies (Delsole 2004).”
• Reconciling Non-Gaussian Climate Statistics with Linear Dynamics (2009, background): “…to capture many features of the second-order statistics of observed synoptic variability, such as the geographical structures of eddy variances and covariances and momentum and heat fluxes (e.g., Farrell and Ioannou 1995; Hall and Sardeshmukh 1998; Whitaker and Sardeshmukh 1998; DelSole 2004).”
• Colour of turbulence (2016, unknown): “Another modification adds a source of constant (Farrell & Ioannou 1993 c ; DelSole & Farrell 1995, 1996; DelSole 2004) or dynamical (Kraichnan 1959, 1971) dissipation.”
• Suppression of Eddy Diffusivity across Jets in the Southern Ocean (2010, methodology): “There is an extensive literature on stochastic models of turbulence (e.g., Farrell and Ioannou 1993; DelSole 2004).”
• FUNDAMENTAL LIMITATIONS OF AD HOC LINEAR AND QUADRATIC MULTI-LEVEL REGRESSION MODELS FOR PHYSICAL SYSTEMS (2012, unknown): “low frequency variability ([11] and references therein) and suitable improved versions have very high skill for active data assimilation of turbulent signals ([12] and references therein) as well as some skill for the low frequency response to changes in external forcing [13, 14].”
• Stochastic climate theory and modeling (2015, unknown): “The first practical attempts at stochastic climate modelling were made using Linear Inverse Models (LIM) 127,128,166,176 and dynamically based linear models with additive white noise forcing 26,27,34,35,179 .”
• Predictability: Recent insights from information theory (2007, methodology): “This section derives these identifications; for further details about stochastic models we recommend the work of Gardiner [1990] and DelSole [2004b] .”