[RegCNET] Regional Climate Modeling at AGU Fall Meeting

Raymond Arritt rwarritt at gmail.com
Tue Jul 11 17:08:35 CEST 2017


Dear RegCNET colleagues,

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 11-15 December 2017 in New Orleans, 
Louisiana, USA.  This differs from the usual San Francisco location 
because of construction at the San Francisco meeting venue.  New Orleans 
is known as the "birthplace of jazz" amongst other cultural distinctions.

The abstract deadline is Wednesday, 2 August 2017 at 23:59 U.S. Eastern 
Daylight Time (corresponding UTC is 3 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 time since the AGU system sometimes 
becomes overloaded on the deadline day.

The web page for the session is 
https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session22574 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 New 
Orleans.

Regards,

Ray Arritt
Ruby Leung
Session conveners
(with apologies for any cross postings)


A088:   Regional Climate Modeling

Session ID#: 22574

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; 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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