Second predictability in climate models
Loading...
Authors
Chu, Peter C.
Lu, Shihua
Subjects
Advisors
Date of Issue
2003
Date
2003
Publisher
Language
Abstract
Atmospheric and oceanic numerical models are usually initial-value and/or boundary-value problems. Change
in either initial or boundary conditions leads to a variation of model solutions. Much of the predictability
research has been done on the response of model behavior to an initial value perturbation. Less effort has been
made on the response of model behavior to a boundary value perturbation. In this study, we use the latest
version of the National Center for Atmospheric Research (NCAR) Community Climate Model (CCM3) to
study the model uncertainty to tiny SST errors. The results show the urgency to investigate the second kind
predictability problem for the climate models.
Type
Conference Proceedings
Description
International Conference on Clean Environment, Cheonan, Korea, 27-32
Series/Report No
Department
Department of Oceanography
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Chu, P.C., and S.H. Lu, 2003: Second predictability in climate models. International Conference on Clean Environment, Cheonan, Korea, 27-32
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.