activity
20062026
most citedSingular solutions, momentum maps and computational anatomy

15 citations · 28 across the 7 of their papers we have counts for

collaborators

7 papers

physics.flu-dyn2026

Variational derivation of a moist thermal rotating shallow water model

Colin J. Cotter, Darryl D. Holm, Oliver D. Street

We introduce a new energy-conserving, moist shallow water model with thermal stratification and rotation. The model is derived from a variational principle, using a Lagrangian expr…

math.NA2025

Entropic approximations of the semigeostrophic shallow water equations

Jean-David Benamou, Colin J. Cotter, Jacob J. M. Francis +1

We develop a discretisation of the semigeostrophic rotating shallow water equations, based upon their optimal transport formulation. This takes the form of a Moreau-Yoshida regular…

math.NA2025

A vertical slice frontogenesis test case for compressible nonhydrostatic dynamical cores of atmospheric models

Hiroe Yamazaki, Colin Cotter

A new test case is presented for evaluating the compressible dynamical cores of the atmospheric models. The test case is based on a compressible vertical slice model that can be ob…

math.OC2024

Examining Entropic Unbalanced Optimal Transport and Sinkhorn Divergences for Spatial Forecast Verification

Jacob J. M. Francis, Colin J. Cotter, Marion P. Mittermaier

An optimal transport (OT) problem seeks to find the cheapest mapping between two distributions with equal total density, given the cost of transporting density from one place to an…

math.NA2024★ 1 cited

A mixed finite-element, finite-volume, semi-implicit discretisation for atmospheric dynamics: Spherical geometry

Thomas Melvin, Ben Shipway, Nigel Wood +11

The reformulation of the Met Office's dynamical core for weather and climate prediction previously described by the authors is extended to spherical domains using a cubed-sphere me…

stat.ME2016★ 12 cited

On the Calibration of Multilevel Monte Carlo Ensemble Forecasts

Alastair Gregory, Colin Cotter

Multilevel Monte Carlo can efficiently compute statistical estimates of discretized random variables, for a given error tolerance. Traditionally, only a certain statistic is comput…