[RegCNET] Submit your work to the Regional Climate Modeling session at Fall AGU
Raymond Arritt
rwarritt at gmail.com
Mon Jul 2 17:54:19 CEST 2018
Dear RegCNET friends,
We encourage you to present your research in the session "Regional
Climate Modeling" to be held at the Fall Meeting of the American
Geophysical Union (AGU). In past years this session has had a strong
turnout, making it an excellent opportunity to learn about new
developments in regional climate modeling and to present your work.
The AGU Fall Meeting will be held 10-14 December 2018 in Washington, DC,
USA. This differs from the usual San Francisco location because of
construction at the San Francisco meeting venue.
*The abstract deadline is Wednesday, 1 August 2018 at 23:59 U.S. Eastern
Daylight Time* (corresponding UTC is 2 August at 03:59). Please be aware
that AGU is very strict about deadlines and will not accept late
abstracts under ANY circumstances! We recommend that you submit your
abstract at least a day ahead of the deadline since the AGU system
sometimes becomes overloaded on the deadline day.
The web page for the session is
https://agu.confex.com/agu/fm18/prelim.cgi/Session/50391 and the session
description appears at the end of this message.
Please let us know if you have any questions. We look forward to
meeting you in Washington.
Wit best regards,
Ray Arritt
Ruby Leung
Session conveners
A089: Regional Climate Modeling
Session Description:
This session focuses on the state of the art in regional climate
modeling on seasonal to centennial time scales. Contributions are
solicited on coordinated experiments that focus on regional and high
resolution global modeling such as CORDEX; novel approaches for model
evaluation, especially process-oriented model verification and diagnosis
of climate extremes; new developments such as coupled earth system
modeling at regional scales and convection-permitting simulations;
ensemble methods and uncertainty analyses; and assessing the added value
of regional modeling. Results from use of regional models for process
understanding and downscaling of IPCC climate change scenarios are also
encouraged.
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