Next Generation Climate Data Products Workshop

July 15-19, 2013

National Center for Atmospheric Research, Boulder CO.

Graduate student and early career scientist abstracts due April 30, 2013.  
Travel funds are available.

This workshop will bring together statistical and data scientists with those 
modeling climate and climate impacts to share ideas on improving the 
creation of data products.

Workshop goals:

*Identify data products and analytical tools needed by the climate impact 
research communities.

*Explore and address challenges to creating high spatial- and temporal-
resolution data products, with associated uncertainty.

*Facilitate collaboration among the statistics, climate modeling, and 
climate impact communities, and, where appropriate, form working groups on 
specific topics that will persist beyond the workshop.

Even with the availability of homogeneous and quality controlled 
observations, the challenge remains to create data products that are of 
sufficient spatial and temporal quality to address a broad range of problems 
in climate research. In particular, there is a need to attach various 
measures of uncertainty to these products to facilitate comparison to, and 
among, numerical experiments, or when used as input to other models for 
climate impact assessment. While there are rich methodologies for 
incorporating spatial and space-time data into models it is unclear how much 
complexity is merited in practice and what methods are most appropriate and 
consistent with process knowledge for these climate data problems.

Real world climate applications provide insight into the kinds of data 
products needed to actually support decisions and planning. Creation of 
these next generation data products require innovative modeling methodology 
and collaboration among disciplines. The Next Generation Climate Data 
Workshop, as part of the IMAGe 2013 Climate Analytics Theme-of-the-Year, 
will bring together the necessary knowledge and tools to evaluate, improve, 
and implement better science products and decision-support structures.

Information about participating in the workshop will be available on the 
website.  For more information, to get involved, or to sign up to receive 
announcements, please contact Andrew Finley at [email protected].

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