Dan Crisan

Dan Crisan

Imperial College London

H-index: 39

Europe-United Kingdom

About Dan Crisan

Dan Crisan, With an exceptional h-index of 39 and a recent h-index of 26 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Stochastic Analysis, Data Assimilation, SPDEs, Particle Approximations, Data Assimilation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sequential Discretization Schemes for a Class of Stochastic Differential Equations and their Application to Bayesian Filtering

Data assimilation for the stochastic Camassa-Holm equation using particle filtering: a numerical investigation

Approximation of non-linear SPDEs with additive noise via weighted interacting particles systems: the stochastic McKean-Vlasov equation

Stochastic Transport in Upper Ocean Dynamics II

Generative Modelling of Stochastic Rotating Shallow Water Noise

Global solutions for stochastically controlled fluid dynamics models

On energy-aware hybrid models

Sequential Markov Chain Monte Carlo for Lagrangian Data Assimilation with Applications to Unknown Data Locations

Dan Crisan Information

University

Position

Professor of Mathematics

Citations(all)

6627

Citations(since 2020)

2684

Cited By

4911

hIndex(all)

39

hIndex(since 2020)

26

i10Index(all)

71

i10Index(since 2020)

55

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Dan Crisan Skills & Research Interests

Stochastic Analysis

Data Assimilation

SPDEs

Particle Approximations

Data Assimilation

Top articles of Dan Crisan

Title

Journal

Author(s)

Publication Date

Sequential Discretization Schemes for a Class of Stochastic Differential Equations and their Application to Bayesian Filtering

SIAM Journal on Numerical Analysis

Ö Deniz Akyildiz

Dan Crisan

Joaquin Miguez

2024/4/30

Data assimilation for the stochastic Camassa-Holm equation using particle filtering: a numerical investigation

arXiv preprint arXiv:2402.06927

Colin John Cotter

Dan Crisan

Maneesh Kumar Singh

2024/2/10

Approximation of non-linear SPDEs with additive noise via weighted interacting particles systems: the stochastic McKean-Vlasov equation

arXiv preprint arXiv:2404.07488

Letizia Angeli

Dan Crisan

Martin Kolodziejczyk

Michela Ottobre

2024/4/11

Stochastic Transport in Upper Ocean Dynamics II

Bertrand Chapron

Dan Crisan

Darryl Holm

Etienne Mémin

Anna Radomska

2024

Generative Modelling of Stochastic Rotating Shallow Water Noise

arXiv preprint arXiv:2403.10578

Dan Crisan

Oana Lang

Alexander Lobbe

2024/3/15

Global solutions for stochastically controlled fluid dynamics models

arXiv preprint arXiv:2403.05923

Dan Crisan

Oana Lang

2024/3/9

On energy-aware hybrid models

arXiv preprint arXiv:2402.13328

Igor Shevchenko

Dan Crisan

2024/2/20

Sequential Markov Chain Monte Carlo for Lagrangian Data Assimilation with Applications to Unknown Data Locations

Quarterly Journal of the Royal Meteorological Society

Hamza Ruzayqat

Alexandros Beskos

Dan Crisan

Ajay Jasra

Nikolas Kantas

2024/9/1

Modelling multiperiod carbon markets using singular forward-backward SDEs

Mathematics of Operations Research

Jean-François Chassagneux

Hinesh Chotai

Dan Crisan

2023/2

Forecast error growth: A stochastic differential equation model

EGU General Assembly Conference Abstracts

Michael Ghil

Eviatar Bach

Dan Crisan

2023/5

Existence and uniqueness of maximal solutions to SPDEs with applications to viscous fluid equations

Stochastics and Partial Differential Equations: Analysis and Computations

Daniel Goodair

Dan Crisan

Oana Lang

2023/7/6

On the 3D Navier-Stokes Equations with Stochastic Lie Transport Check for updates

Stochastic Transport in Upper Ocean Dynamics II: STUOD 2022 Workshop, London, UK, September 26–29

Daniel Goodair

Dan Crisan

2023/10/3

Asymptotic behavior of the forecast–assimilation process with unstable dynamics

Chaos: An Interdisciplinary Journal of Nonlinear Science

Dan Crisan

Michael Ghil

2023/2/1

Analytical properties for a stochastic rotating shallow water model under location uncertainty

Journal of Mathematical Fluid Mechanics

Oana Lang

Dan Crisan

Étienne Mémin

2023/5

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

Stochastics and Partial Differential Equations: Analysis and Computations

Oana Lang

Dan Crisan

2023/6

Theoretical and computational analysis of the thermal quasi-geostrophic model

Journal of nonlinear science

Dan Crisan

Darryl D Holm

Erwin Luesink

Prince Romeo Mensah

Wei Pan

2023/10

Well-posedness properties for a stochastic rotating shallow water model

Journal of Dynamics and Differential Equations

Dan Crisan

Oana Lang

2023/1/20

A Class of Spatial Filtering Problems with Unknown Spatial Observations

arXiv preprint arXiv:2305.00484

Hamza Ruzayqat

Alexandros Beskos

Dan Crisan

Ajay Jasra

Nikolas Kantas

2023/4/30

The zero viscosity limit of stochastic navier-stokes flows

arXiv preprint arXiv:2305.18836

Daniel Goodair

Dan Crisan

2023/5/30

Observation-Based Noise Calibration: An Efficient Dynamics for the Ensemble Kalman Filter

Benjamin Dufée

Etienne Mémin

Dan Crisan

2023/9/24

See List of Professors in Dan Crisan University(Imperial College London)

Co-Authors

H-index: 70
Darryl D Holm

Darryl D Holm

Imperial College London

H-index: 58
Thomas G. Kurtz

Thomas G. Kurtz

University of Wisconsin-Madison

H-index: 57
TOUZI Nizar

TOUZI Nizar

École Polytechnique

H-index: 35
Colin Cotter

Colin Cotter

Imperial College London

H-index: 33
Ajay Jasra

Ajay Jasra

King Abdullah University of Science and Technology

H-index: 24
Alexandros Beskos

Alexandros Beskos

University College London

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