LANS Informal Seminar
"Incorporation of Stochastic Effects in Climate Models"
DATE: October 12, 2011
TIME: 15:00:00 - 16:00:00 Description:
SPEAKER: J. Clayton Kerce, Argos Intelligence, Marietta GA
LOCATION: Building 240, 1404-1405, Argonne National Laboratory
Stochastic parameterization of large scale models is becoming an important tool for evaluating climate predictability and for enabling accurate representation of the effects of micro-scale and short time physics on climate model statistics. Implementation of numerical schemes that properly handle these stochastic effects in large scale software is highly non-trivial. A systematic process is needed to apply stochastic parameterization techniques to representative climate models in an automated or semi-automated way. The source code transformation techniques pioneered by the automatic differentiation community are being investigated to address this problem.
In this talk I will review current research on stochastic parameterization, highlight some of the difficulties, and discuss the source code transformation approach.
TIME: 15:00:00 - 16:00:00
Please send questions or suggestions to Krishna: snarayan at mcs.anl.gov.