Full name: Daan Crommelin
Formal name: Dr. D. T. Crommelin
Function: Scientific Staff Member

Email: Daan.Crommelin@cwi.nl
Telephone: +31(0)20 592 4194
Room: L118
Homepage:  http://www.cwi.nl/~dtc
Research groups: Computational Dynamics

Research

Daan Crommelin works in the group Computational and Stochastic Dynamics at CWI. His research focuses on stochastic methods for multiscale dynamical systems, estimation of stochastic models and applications in atmosphere-ocean science. Recent research topics include stochastic parameterization of subgrid scale processes in numerical models, estimation of Markov processes from multiscale data, and analysis of metastability in atmospheric datasets using hidden Markov models.

Career

2013 -	Scientific staff member CD - Computational dynamics
2010 - 2013	Scientific staff member MAC1 - Computational and Stochastic Dynamics
2006 - 2009	Scientific staff member MAS1 - Dynamical Systems and Numerical Analysis
2003 - 2006	Postdoc and instructor, Courant Institute of Mathematical Sciences, New York University
1998 - 2002	PhD student, Royal Netherlands Meteorological Institute (KNMI) and Mathematics Department, Utrecht University

Selected Awards and Honours

2012	Vidi Innovational Research Grant NWO

Selected Academic Activities

2013 -	Associate editor Journal: Multiscale Modeling and Simulation - [MMS]
2009	Organizer Leiden, The Netherlands - Workshop Mathematical challenges in climate science
2008	Member program committee Dynamics Days Europe
2007	Organizer Vienna, Austria - Minisymposium on Nonlinear Low-Frequency Variability in Atmosphere, Ocean and the Climate System

Selected Publications

J. Dorrestijn, D.T. Crommelin, A. P. Siebesma, H. J. J. Jonker. Stochastic parameterization of shallow cumulus convection estimated from high-resolution data. Theoretical and Computational Fluid Dynamics, 2012.

D.T. Crommelin, E. Vanden-Eijnden. Diffusion Estimation from Multiscale Data by Operator Eigenpairs. Multiscale Modeling and Simulation 9, 1588–1623, 2011.

D.T. Crommelin, E. Vanden-Eijnden. Data-based inference of generators for Markov jump processes using convex optimization. Multiscale Modeling and Simulation 7, 1751–1778, 2009.

A.J. Majda, C. Franzke, D.T. Crommelin. Normal forms for reduced stochastic climate models. Proceedings of the National Academy of Sciences of the United States of America 106, 3649–3653, 2009.

D.T. Crommelin, E. Vanden-Eijnden. Subgrid-scale parameterization with conditional Markov chains. Journal of the Atmospheric Sciences 65, 2661–2675, 2008.

A.J. Majda, C. Franzke, A. Fischer, D.T. Crommelin. Distinct metastable atmospheric regimes despite nearly Gaussian statistics: A paradigm model. National Academy of Sciences USAProceedings of the National Academy of Sciences of the United States of America, 8309–8314, 2006.

All publications (link to repository)