STATMOS Summer School In Data Assimilation

Data assimilation refers to a class of methods that link physical and probability models with the goal of inference or prediction for often complex, nonlinear dynamical systems. Applications are many and include geophysical sciences, engineering, and computational sciences.

The Summer School will provide a mathematical introduction to a variety of data assimilation techniques; a flavor of the applied problems, modelling and methodological challenges in this area; and a workshop on computational tools used in their exploration.

workshop speakers:

Jeff Anderson

Nancy Collins

Michael Dowd

John Harlim

Tim Hoar

Ibrahim Hoteit

Kayo Ide

Doug Nychka

Jonathan Poterjoy

Jonathan Stroud

Fuqing Zhang

contact the organizers:

Mikyoung Jun (TAMU)

Oksana Chkrebtii (OSU)

Photo courtesy of Boulder, Colorado Hiking

Thank you to STATMOS and NCAR for this making this workshop possible!

Summary and photos:

Summary of the workshop

Photos

Presentation slides:

Jonathan Stroud

Understanding the Ensemble Kalman Filter;

Michael Dowd (Dalhousie)

Introduction to Particle Filters for Data Assimilation;

Miscellaneous Thoughts on Ocean Data Assimilation;

Ibrahim Hoteit (KAUST)

Data Assimilation in Oceanography: Successes and Remaining Challenges;

Targeted Sampling for Gaussian-Mixture Filtering High Dimensional Systems with Small Ensembles;

Mikyoung Jun (TAMU)

Robust Method for EnKF in the Presence of Observation Outliers / Multivariate Localization Methods for EnKF;

Jonathan Poterjoy (NCAR)

A Localized Particle Filter for Data Assimilation in High-Dimensional Nonlinear Systems;

Oksana Chkrebtii (OSU)

Bayesian Updating as a Probabilistic Differential Equation Solver;

Program information:

Summer school program;

Detailed program with abstracts;

Local information;

Venue.

Registration and funding:

Registration for participants and speakers. Registration closes April 24, 2015;

Travel funding for students and early career researchers at STATMOS institutions.

Accommodation details:

Venue information is available here. A block of rooms is reserved at Millennium hotel in Boulder for participants (please follow instructions to reserve your accommodation).

Computing requirements:

Participants will take part in a tutorial on the DART software. This will require use of a laptop that runs either OS X or Unix/Linux, and the MATLAB software. More details about software requirements can be found here. Please inform the organizers if you will require a temporary laptop to be provided.

Poster guidelines:

Participants are required to present a poster either about current research projects that they would like to examine using data assimilation, or about ongoing work in this area. Poster guidelines can he found here. We encourage all posters to be printed in advance, as printing facilities will not be available on site.