[Narccap-announce] NARCCAP special session at AGU - CFP
arosati at ucar.edu
Wed Jun 29 11:34:34 MDT 2011
Greetings NARCCAP friends,
We encourage you to show your latest results in AGU special
GC10 on "Regional Climate Impacts 1. Studies Based on Simulations
the North American Regional Climate Change Assessment Program."
specifically looking for research on climate analyses, impacts
and adaptation studies, and further
dynamical and statistical downscaling.
The session will be held at the AGU Fall Meeting, 5-9 December
San Francisco, California, USA. The session description is at
and is appended below. Notice that the session description
specifically mentions NARCCAP as a focus.
For instructions on abstract submission please see the AGU web
The abstract deadline is 5 August 2011 at 03:59 UTC (note this
the afternoon or evening of 4 August in the Western Hemisphere).
Please be aware that AGU is very strict about deadlines and they
will not accept late abstracts under any circumstances! We urge
to submit your abstract at least few days ahead of time as the
system sometimes becomes overloaded on the deadline date.
Please let the NARCCAP team know if you have any questions. We
forward to seeing you in San Francisco!
narccap at ucar.edu
The session description follows:
GC10: Regional Climate Impacts 1. Studies Based on Simulations
the North American Regional Climate Change Assessment Program
1. William Gutowski
Iowa State Univ
gutowski at iastate.edu
2. Linda Mearns
lindam at ucar.edu
NARCCAP is investigating the uncertainties in regional scale
projections of future climate and producing high resolution
change scenarios using multiple regional climate models (RCMs)
multiple global model responses to a future emission scenario, by
nesting the RCMs (at 50 km spatial resolution)within global
models over a domain covering most of N. America. The project
includes an evaluation phase through nesting the participating
within NCEP Reanalysis. Over 400 registered users are working on
climate analyses, impacts and adaptation studies, and further
dynamical and statistical downscaling. We invite papers using
data in any of these types of studies.
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