[Wrf-users] 2008 AGU Joint Assembly Session (IN07): "Frameworks for Environmental Data Integration, Modeling and Analysis"

[Lloyd A Treinish]

In case you have not heard, we are chairing a session on Frameworks for 
Environmental Data Integration, Modeling and Analysis at the upcoming  AGU 
Joint Assembly in May in Fort Lauderdale.  In particular, we are 
soliciting contributions from diverse, multi-disciplinary developer and 
user groups within the AGU community, particularly with experience in both 
the scientific and technological issues in data model, management and 
archive systems, model development, observing systems, data analysis and 
assimilation, visualization, standards activities, and community software 
and data set development and support.

As background, consider that frameworks to support environmental data 
exchange and integration associated with modeling and analysis have 
recently been proposed in the Earth and Space Science community.  This 
notion should be extended beyond the enabling computing technology and 
infrastructure to address any data generator.  Hence, output from sensors 
(in situ and remote), simulations, analyses (e.g., data assimilation), 
visualization, etc. need to be treated in an uniform fashion, for which 
data exchange and coupling need to be addressed.  This session is intended 
to provide a forum for sharing algorithms, techniques, experience and best 
practices across such diverse considerations for which there is underlying 
commonality but not necessarily collaboration to date.  As you know, many 
research activities and operational decisions in environmental sciences 
require extensive computational modeling and data analysis.  Hence, 
questions of critical importance often require multiple models to be 
coupled, running either sequentially or in parallel, and the results 
compared to or integrated with observational data sets.  But the approach 
needs to focus on the rationale behind such questions and recognize the 
technology as an enabler.  For example, predicting the impact of certain 
land use decisions in a river basin might involve the coupling of water 
balance, water quality, carbon storage, crop production, and biodiversity 
models.  Prediction of impacts of global climate change on flooding 
patterns might involve perturbing numerical weather predictions, and 
coupling them to hydrological calculations based upon results of ensembles 
of climate models.  While the experience behind extant frameworks and data 
models is critical to this session, an important goal is to identify 
methodologies that can be more generalized and avoid a tight coupling 
between data representation and the architectures behind computation or 
observation (e.g., being able to capture the semantics of the data to 
enable proper utilization).  A further result will be recommendations for 
both research and development activities as well as case studies to help 
evaluate the methodologies that are identified.

Additional information is available at 
http://www.agu.org/meetings/ja08/?content=program.  We hope that you will 
consider a contribution to this session.

Thank you,
Barbara Eckman and Lloyd Treinish
IBM Big Green Innovations

--------------------------
Lloyd A. Treinish
Project Scientist, Big Green Innovations
IBM Systems & Technology Group
1101 Kitchawan Road, Yorktown Heights, NY 10598
914-945-2770, lloydt at us.ibm.com
http://www.research.ibm.com/people/l/lloydt/
http://www.research.ibm.com/weather/DT.html
http://www.ibm.com/technology/greeninnovations
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