activity
20192026
most citedAnalytical Properties for a Stochastic Rotating Shallow Water Model under Location Uncertainty

19 citations · 34 across the 14 of their papers we have counts for

collaborators

14 papers

math.PR2026

Well-posedness and Hurst parameter estimation for fluid equations driven by fractional transport noise

Alexandra Blessing Neamtu, Dan Crisan, Oana Lang

We study a two-dimensional incompressible vorticity equation on the torus driven by transport-type fractional Brownian noise with Hurst parameter . The model capture…

math.NA2024

Bayesian inference for geophysical fluid dynamics using generative models

Alexander Lobbe, Dan Crisan, Oana Lang

Data assimilation plays a crucial role in numerical modeling, enabling the integration of real-world observations into mathematical models to enhance the accuracy and predictive ca…

stat.ML2024

Generative Modelling of Stochastic Rotating Shallow Water Noise

Dan Crisan, Oana Lang, Alexander Lobbe

In recent work, the authors have developed a generic methodology for calibrating the noise in fluid dynamics stochastic partial differential equations where the stochasticity was i…

math.AP2024

Global solutions for stochastically controlled fluid dynamics models

Dan Crisan, Oana Lang

For a class of evolution equations that possibly have only local solutions, we introduce a stochastic component that ensures that the solutions of the corresponding stochastically…

math.DS2023

Noise calibration for the stochastic rotating shallow water model

Dan Crisan, Oana Lang, Alexander Lobbe +2

Stochastic partial differential equations have been used in a variety of contexts to model the evolution of uncertain dynamical systems. In recent years, their applications to geop…

math.DS2023

Comparison of Stochastic Parametrization Schemes using Data Assimilation on Triad Models

Bertrand Chapron, Dan Crisan, Darryl Holm +3

In recent years, stochastic parametrizations have been ubiquitous in modelling uncertainty in fluid dynamics models. One source of model uncertainty comes from the coarse graining…

math.AP2022★ 1 cited

Existence and Uniqueness of Maximal Solutions to SPDEs with Applications to Viscous Fluid Equations

Daniel Goodair, Dan Crisan, Oana Lang

We present two criteria to conclude that a stochastic partial differential equation (SPDE) posseses a unique maximal strong solution. This paper provides the full details of the ab…

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…

math.AP2022★ 19 cited

Analytical Properties for a Stochastic Rotating Shallow Water Model under Location Uncertainty

Oana Lang, Dan Crisan, Etienne Mémin

The rotating shallow water model is a simplification of oceanic and atmospheric general circulation models that are used in many applications such as surge prediction, tsunami trac…

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.NA2021

Bayesian Inference for Fluid Dynamics: A Case Study for the Stochastic Rotating Shallow Water Model

Peter Jan van Leeuwen, Dan Crisan, Oana Lang +1

In this work, we use a tempering-based adaptive particle filter to infer from a partially observed stochastic rotating shallow water (SRSW) model which has been derived using the S…

math.AP2021★ 4 cited

Well-posedness Properties for a Stochastic Rotating Shallow Water Model

Dan Crisan, Oana Lang

In this paper, we study the well-posedness properties of a stochastic rotating shallow water system in which the noise is chosen according to the Stochastic Advection by Lie Transp…

math.AP2020★ 4 cited

Local well-posedness for the great lake equation with transport noise

Dan Crisan, Oana Lang

This work is a continuation of the authors' work for the stochastic 2D Euler equation driven by transport type noise. Here we lift the incompressibility constraint. Instead we assu…

math.AP2019★ 1 cited

Well-posedness for a stochastic 2D Euler equation with transport noise

Dan Crisan, Oana Lang

We prove the existence of a unique global strong solution for a stochastic two-dimensional Euler vorticity equation for incompressible flows with noise of transport type. In partic…