619 citations
- University of California San DiegoUS137 papers
- Massachusetts Institute of TechnologyUS12 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- Princeton UniversityUS8 papers
- University of EdinburghGB6 papers
- University of LeedsGB6 papers
- Australian National UniversityAU5 papers
- Maxwell Institute for Mathematical SciencesGB5 papers
- TU WienAT5 papers
- California Institute of TechnologyUS4 papers
- Center for Astrophysics Harvard & SmithsonianUS4 papers
- Columbia UniversityUS4 papers
13 papers · 1 filter
Penetration of wind-generated near-inertial waves into a turbulent ocean
Olivier Asselin, William R. Young
An idealized storm scenario is examined in which a wind-generated inertial wave interacts with a turbulent baroclinic quasi-geostrophic flow. The flow is initialized by spinning up…
Direct and Indirect Effects -- An Information Theoretic Perspective
Gabriel Schamberg, William Chapman, Shang-Ping Xie +1
Information theoretic (IT) approaches to quantifying causal influences have experienced some popularity in the literature, in both theoretical and applied (e.g. neuroscience and cl…
The Nusselt numbers of horizontal convection
Cesar. B. Rocha, Navid C. Constantinou, Stefan G. Llewellyn Smith +1
We consider the problem of horizontal convection in which non-uniform buoyancy, , is imposed on the top surface of a container and all other surfaces are insulating…
Wind-Induced Changes to Surface Gravity Wave Shape in Deep to Intermediate Water
Thomas Zdyrski, Falk Feddersen
Wave shape (i.e. skewness or asymmetry) plays an important role in beach morphology evolution, remote sensing, and ship safety. Wind's influence on ocean waves has been extensively…
The submesoscale, the finescale and their interaction at a mixed layer front
Vicky Verma, Hieu T. Pham, Sutanu Sarkar
The spindown of a geostrophically balanced density front in an upper-ocean mixed layer is simulated with a large eddy simulation (LES) model that resolves O(1000) m down to O(1) m…
Precision annealing Monte Carlo methods for statistical data assimilation and machine learning
Zheng Fang, Adrian S. Wong, Kangbo Hao +2
In statistical data assimilation (SDA) and supervised machine learning (ML), we wish to transfer information from observations to a model of the processes underlying those observat…