Probabilistic Approaches to Data Assimilation for Earth Systems (13w5139)

Arriving in Banff, Alberta Sunday, February 17 and departing Friday February 22, 2013

Organizers

Mark Buehner (Environment Canada)

Alexandre Chorin (University of California, Berkeley)

(Université de Québec à Montréal)

(University of Maryland College Park)

Robert Miller (Oregon State University)

Description

The Banff International Research Station will host the "Probabilistic Approaches to Data Assimilation for Earth Systems" workshop from February 17th to February 22nd, 2013.


Estimation and prediction of the state of a system by combination of observations and model output is a task that is common to many scientific fields. In the earth science community, it is referred to as “data assimilation.” A familiar example is numerical weather prediction used by the operational centers to issue forecasts for the atmospheric state, from daily weather to extreme events such as hurricane prediction. Data assimilation plays a key role in monitoring and predicting the future of physical systems. As the Planet Earth and the society face important issues such as climate change, mathematics can contribute significantly to advance data assimilation beyond the state-of-the-art. In the workshop hosted by the Banff International Research Station, a group of prominent interdisciplinary specialists will participate in cutting-edge research activities. This workshop will be a part of the Mathematics of Planet Earth 2013 (http://www.mpe2013.org), an international activity of the year 2013 that aims to showcase the essential relevance of mathematics to planetary problems.




The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).