Workshops > DAS13

2013 Interdisciplinary Summer School: Data Assimilation in Geosciences

Burgers Program for Fluid Dynamics & Center for Scientific Computation and Mathematical Modeling
University of Maryland, College Park

 June 3-14, 2013

CSIC Building (#406), Seminar Room 4122.

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There will be a live webcast of this school. The webcast will be open to all, with no prior registration needed.
Click HERE to join the webcast. Recording of previous days can be found HERE.


Name Affiliation Email
Jeffrey Anderson National Center for Atmospheric Research (NCAR), Data Assimilation Res. Section
Kayo Ide University of Maryland, CSCAMM, AOSC, ESSIC & IPST
Eitan Tadmor University of Maryland, CSCAMM, Mathematics & IPST



Data assimilation (DA) aims at determining and predicting the state of a dynamical system as accurately as possible by combining heterogeneous sources of information in an optimal way. The mathematical problem of DA is both fundamental in that it aims at the estimation of an unknown, true state and challenging as it does not naturally afford a clean solution. The mathematical methods of DA describe algorithms for combining observations of a dynamical system, a computational model that describes its evolution, and appropriate prior information. From its beginning in the 50s, numerical weather prediction lead the development of DA. It has now become an intensive field of research, with applications in oceanography and atmospheric chemistry, and extensions to other geophysical sciences.

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This summer school targets primarily researchers at an early stage of their career with previous experience in data assimilation. It will focus on interdisciplinary exposure to advanced methods in data assimilation, while lectures by operational experts will provide an overview of current cutting-edge techniques in this field.

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Jeff Anderson National Center for Atmospheric Research (NCAR)
Brian Hunt University of Maryland
Kayo Ide University of Maryland
Eugenia Kalnay University of Maryland
Andrew Majda New York University
Andrew Stuart University of Warwick


Name Affiliation
John Walter Acevedo Valencia Freie Universität Berlin
Jeffrey Anderson National Center for Atmospheric Research (NCAR)
Tyrus Berry George Mason University
Theresa Bick University of Bonn
Nan Chen New York University
Levi DeVries University of Maryland
Ardeshir (Mohammad) Ebtehaj University of Minnesota
Alexander Fisher University of Maryland Center for Environmental Science
Mariangel Garcia San Diego State University
Guoqing Ge University of Oklahoma
Brian Hunt University of Maryland
Kayo Ide University of Maryland
Eugenia Kalnay University of Maryland
David Kelly University of Warwick
Reza Khatami SUNY-ESF
Homa Kheyrollah Pour University of Waterloo
Frank Lagor University of Maryland
Yoonsang Lee University of Texas at Austin
Lili Lei NCAR
Liao-Fan Lin Georgia Institute of Technology
John Lu NIST
Midhun Madhavan Physical Research Laboratory
Andrew Majda New York University
Reza Malek-Madani Office of Naval Research
Vasily Mizyak Hydrometeorological Research Centre of Russian Federation
Safa Motesharrei University of Maryland
Akihiko Nishimura Duke University
Jong-Im Park KIAPS(Korea Institue of Atmospheric Prediction Systems)
Di Qi Courant Institute
Mónica Rodrigues University of Aveiro
Naratip Santitissadeekorn University of North Carolina-Chapel Hill
Min Shao George Mason University
Laura Slivinski Brown University
Jacob Stroh University of Alaska Fairbanks
Andrew Stuart University of Warwick
Eitan Tadmor University of Maryland
Robin Weber Catalan Institute of Climate Sciences (IC3)
Li Yang Michigan State University

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A limited amount of travel and local lodging is available for researchers in the early stages of their career who want to attend the full program, especially for graduate students and post-doctoral fellows.

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CSCAMM Visitor Guide:


Center for Scientific Computation And Mathematical Modeling (CSCAMM)
Computer Science Instructional Center (Building #406)
University of Maryland, College Park
College Park, MD 20742-3289


Web: /programs/das13


Poster is available here.


Group Photo 1 Group Photo 2
DAS Group Photo DAS Group Photo


Partial funding is provided by the National Science Foundation, Office of Naval Research, Burgers Program for Fluid Dynamics, and the University of Maryland.


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CSCAMM is part of the
College of Computer, Mathematical & Natural Sciences (CMNS)