Research Interests
I use theory, observations, and analytical and numerical models to pursue research in mesoscale to large scale geophysical fluid dynamics, especially ocean dynamics and climate dynamics. See the publications below for specific examples. Most recently I've started working on mesoscale atmospheric turbulence.

I'm interested in theory insofar as it makes predictions that can be observed. The excuse "but this is highly idealized so we cannot observe this in nature" makes the theory, or idealized model results, rather uninteresting to me.

Some questions I'm interested in are:

• what aspects of two-dimensional turbulence are present in the real ocean and the atmosphere?

• what drives interannual and longer timescale climate variability?

• what data analysis tools are best used to reveal mechanisms of variability?

I've used analytical techniques to address the generality of the inverse energy cascade. I'm especially interested in using satellite altimeter data to see whether the upper ocean behaves like a 2D turbulent flow. See Scott and Wang 2005 below for results from this effort.

Stochastic climate models can be particularly helpful in gaining an understanding of how the upper ocean responds to atmospheric forcing. Simple stochastic models can be solved analytically (Barsugli and Battisti, 1998; Saravanan and McWilliams 1998; Bretherton and Battisti, 2000; Scott 2002a,b) and are useful for revealing novel mechanisms and also for making sense of data analysis tools. It is also part of my research goal to clarify what data analysis techniques are really telling us.

Currently Funded Research Projects
CMG: Advancement of Parameterization of Eddy-Topography Effects in Ocean Circulation Models

Quantifying the Contribution of Ocean Dynamics to SST Anomaly Formation

Numerical Modeling of the Climate System: Comparison of Sea Surface Temperature Anomaly Generation Mechanisms With Observed Data

Quantifying the Oceanic Kinetic Energy Cascade with Altimeter Data and Ocean Circulation Models

Old Publications
R.B. Scott (1999): Ph.D. Thesis. See Table 4.2 on p.78 for the wind power input to the geostrophic flow and quantitative error estimates due to geoid slope errors, estimated from the full error covariance matrix of the JGM-3 gravity model, and the time mean NCEP wind stress field.

P Before printing, think about the environment

Recent Publications
Arbic, B.K., and R.B. Scott (2007): Quadratic drag and dissipation of ocean eddies, J. Phys. Oceanogr., in press.

Arbic, B.K., Glenn R. Flierl, and R.B. Scott (2007): Cascade inequalities for forced-dissipatived geostrophic turbulence, J. Phys. Oceanogr., Vol. 27, Issue 6, pp. 1470 -- 1487.

Scott, R. B. and B.K. Arbic (2007): Spectral energy fuxes in geostrophic turbulence: implications for ocean energetics, J. Phys. Oceanogr., Vol. 37, Issue 3, pp. 673--688.

Merryfield, W.J. and R.B. Scott (2007) : Bathymetric influence on mean currents in two high-resolution near-global ocean models, Ocean Modelling, Vol. 16, Issues 1-2, pp. 76-94.

Holland, C.L. and Robert B. Scott and Soon-Il An and Frederick W. Taylor (2007): Propagating decadal sea surface temperature signal identified in modern proxy records of the tropical Pacific, Clim. Dyn., DOI 10.1007/s00382-006-0174-0, Vol. 28, pp. 163--179.

Rob's UTIG contributions (Publications)