Broken symmetry and long-term forecasting

Research output: Contribution to journalArticle

Abstract

[1] This paper takes a novel approach to a known basic difficulty with computer simulations of nonlinear dynamical systems relevant to climate modeling. Specifically, we show by minimal examples how small systematic modeling errors might survive averaging over an ensemble of initial conditions. The resulting predictive errors can grow slowly enough initially that they may be overlooked without contradicting known behaviors on middle scales. However, they may nonetheless be significant on long timescales, given our current knowledge. Mathematical symmetry, which has been investigated for improving accuracy in computational algorithms, turns out to provide a novel perspective to this issue.

Details

Authors
  • Christopher Essex
  • Silvana Ilie
  • Robert M. Corless
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Mathematics
Original languageEnglish
JournalJournal of Geophysical Research
Volume112
Issue numberD24
Publication statusPublished - 2007
Publication categoryResearch
Peer-reviewedYes

Bibliographic note

The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Numerical Analysis (011015004)