Login

Mathematics of Planet Earth 2013

  • Home
  • Programs
    • Long Term Programs
    • Summer Schools
    • Workshops
    • Meetings
    • Special Sessions
    • Colloquia and Seminars
    • Public Lectures
  • Education
    • Public Lectures
    • Speakers Bureau
    • Summer Schools
    • Resources
    • Posters
    • Curriculum Materials
    • Academic programs
  • Events
    • MPE Day at UNESCO
    • Public Lectures
    • Exhibitions
    • Competitions
    • Awareness events
  • Partners
    • Societies
    • International Bodies
    • Institutes
    • Research Centers
    • Scientific Journals
    • Teacher Associations
    • Academic
    • Magazines
    • Science Centers
    • Others
    • Becoming a Partner
  • Learn More
    • Books
    • Articles
    • Educational Resources
    • Videos and Podcasts
    • Speakers Bureau
  • Newsroom
  • MPE2013+
  • Daily Blog
  • Calendar
  • Français

Search

Categories

Third Simons Public Lecture

Professor Inez Fung visits South Africa to deliver the third in the international series of MPE2013 Simons Public Lectures on March 26 in Capetown. Read more →

Recent Posts

Predecessors of MPE2013

March 16th, 2013

Psychologists analyzing the evolution of human societies might discuss and argue the following fact: It took approximately 40 [...]

The Great Wave Explained by Directional Focusing

March 13th, 2013

One of the most famous images in Japanese art is the Great Wave off Kanagawa, a woodblock print [...]

MPE2013 Newsletter

Summer Schools

Data Assimilation in Geosciences

Climate / Meteorology / Ocean

Organized by Jeff Anderson (NCAR), Kayo Ide (CSCAMM, UMd), Eitan Tadmor (CSCAMM, UMd), Olivier Talagrand (ENS)

http://www2.cscamm.umd.edu/programs/das13/

06/03/13 - 06/14/13

Center for Scientific Computation and Math. Modeling, University of Maryland, College Park

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.

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.

  • Contact

IMU UNESCO ICIAM ICSU