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CLIVAR
CLIMATE VARIABILITY AND PREDICTABILITY

International CLIVAR Project Office
National Oceanography Centre
European Way
Southampton, SO14 3ZH, UK
Phone: +44-2380 596777
Fax: +44-2380 596204
Email:

CLIVAR Working Group on Seasonal to Interannual Prediction

News | Terms of reference | Members | Projects | Climate-system Historical Forecast Project (CHFP) | Meetings | Publications

Projects

WGSIP aims to develop a programme of numerical experimentation for seasonal-to-interannual variability and predictability, paying special attention to assessing and improving predictions. Further research aims are to develop appropriate data assimilation, model initialization and forecasting procedures for seasonal-to-interannual predictions, and to consider such factors as observing system evaluation, use of ensemble and probabilistic methods and statistical and empirical enhancements, and measures of forecast skill.

The WGSIP has most recently set up the Seasonal prediction Model Intercomparison Project (SIMP). These coordinated numerical experiments clearly demonstrate that successful seasonal prediction is a multi-model and multi-institutional problem.

 

Click on the boxes below for more information on the SMIP and previous projects, and on the Acrobat icons to download the end-of-project publication.

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- Seasonal Prediction Intercomparison Project
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- El Nino Simulation Intercomparison Project
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- Study of Tropical Oceans in Coupled Models
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- Global Land-Atmosphere Coupling Experiment
- - Global Land-Atmosphere Coupling Experiment 2

Final call for contributions to the SMIP data archive and invitation to participate in diagnostic subprojects


last updated Wed, Dec 19, 2007 by Anna Pirani