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Call for Papers: "Regional Climate Modeling to Improve Climate Variability and Change Projections at the Local Scale" at AMS (USA)

Last modified July 31, 2012 15:02 expired

We would like to encourage you to submit an abstract to our session at the AMS 2013 Fall meeting to be held in Austin, TX, Jan 6-10, 2013. Session title : "Regional Climate Modeling to Improve Climate Variability and Change Projections at the Local Scale"

We would like to encourage you to submit an abstract to our session at the AMS 2013 Fall meeting to be held in Austin, TX, Jan 6-10, 2013. Session title : "Regional Climate Modeling to Improve Climate Variability and Change Projections at the Local Scale " Please refer to the session abstract below. Abstract submission is open and the deadline is August 1st. Looking forward to see you in Austin.

<http://annual.ametsoc.org/2013/>

Best regards, Francina Dominguez (University of Arizona, <francina@atmo.arizona.edu>) Ruby Leung (Pacific Northwest National Laboratory, <Ruby.Leung@pnnl.gov> Om Tripathi (University of Arizona, <tripathi@atmo.arizona.edu>) Hsin-I Chang (University of Arizona, <hchang@atmo.arizona.edu>) Christopher Castro (University of Arizona, <castro@atmo.arizona.edu>)

Session: Regional Climate Modeling to Improve Climate Variability and Change Projections at the Local Scale

Abstract: While climate variability and change are largely governed by global phenomena adaptation to climate phenomena is primarily a regional and local problem. Regional climate models (RCMs) play an important role in downscaling global climate model information to the regional and local scale - at which local stakeholders and decision makers operate. In this session, we solicit talks related to the development and application of RCMs. We welcome talks focusing on diagnosis and evaluation of RCMs with in situ and remote sensing observations, improved physical parameterizations, and the relationship between large-scale climate variability and change with local phenomena. Application of RCMs to hydrological, ecological, agricultural and water resources management problems, including the prediction of hydrologic extremes, are also welcome.

Hsin-I Chang
 Research Associate
 Department of Atmospheric Sciences
 University of Arizona

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