CLIVAR Working Group on Seasonal to Interannual Prediction

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.

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