activity
20182022
most citedModelling uncertainty using stochastic transport noise in a 2-layer quasi-geostrophic model

56 citations · 155 across the 9 of their papers we have counts for

collaborators

9 papers

math.AP2022

Theoretical analysis and numerical approximation for the stochastic thermal quasi-geostrophic model

Dan Crisan, Darryl D. Holm, Oana Lang +2

This paper investigates the mathematical properties of a stochastic version of the balanced 2D thermal quasigeostrophic (TQG) model of potential vorticity dynamics. This stochastic…

physics.flu-dyn2022★ 5 cited

Deterministic and Stochastic Euler-Boussinesq Convection

Darryl D. Holm, Wei Pan

Stochastic parametrisations of the interactions among disparate scales of motion in fluid convection are often used for estimating prediction uncertainty, which can arise due to in…

math.PR2022★ 5 cited

A pathwise parameterisation for stochastic transport

Oana Lang, Wei Pan

In this work we set the stage for a new probabilistic pathwise approach to effectively calibrate a general class of stochastic nonlinear fluid dynamics models. We focus on a 2D Eul…

math.AP2021

Theoretical and computational analysis of the thermal quasi-geostrophic model

Dan Crisan, Darryl D. Holm, Erwin Luesink +2

This work involves theoretical and numerical analysis of the Thermal Quasi-Geostrophic (TQG) model of submesoscale geophysical fluid dynamics (GFD). Physically, the TQG model invol…

physics.flu-dyn2020★ 32 cited

Stochastic mesoscale circulation dynamics in the thermal ocean

Darryl D. Holm, Erwin Luesink, Wei Pan

In analogy with similar effects in adiabatic compressible fluid dynamics, the effects of buoyancy gradients on incompressible stratified flows are said to be `thermal'. The thermal…

cs.GR2020

Gaussian Curvature Filter on 3D Meshes

Wenming Tang, Yuanhao Gong, Kanglin Liu +4

Minimizing the Gaussian curvature of meshes can play a fundamental role in 3D mesh processing. However, there is a lack of computationally efficient and robust Gaussian curvature o…