Due to the considerable socio-economic and ecological impacts of the climate, many efforts have been made to predict year-to-year climate variability (e.g., ENSO) and climate changes over the past decades. In particular, advanced data assimilation techniques have been applied to weather-climate forecasting systems in order to generate realistic ensemble initial conditions for improved predictive skill. However, major challenges remain in reducing uncertainties in the initial conditions and errors in forecast models and external forcing, and in assessing predictability limit associated with multi-scale climate processes and nonlinearity. In this context, Advances in seasonal to decadal prediction have been selected as the topic for this year’s international conference of CAS-TWAS-WMO Forum on Climate Science (CTWF).
Topics :
1. Novel data assimilation and ensemble forecast approaches for improving S2D predictions
2.Impact of model systematic error on forecasts, and approaches to alleviate them
3. Mechanisms for atmosphere-ocean variability
4. Understanding of the fundamental limits of predictability
5.Atmosphere-ocean observing system evaluation for S2D predictions
6.Practical application of S2D predictions
09月18日
2017
09月20日
2017
摘要截稿日期
摘要录用通知日期
注册截止日期
2017年09月01日 中国 Beijing
16th CTWF International Symposium on Advances in Seasonal to Decadal Prediction2016年09月19日 中国 Beijing,China
第15届CTWF国际气候论坛2013年09月09日 中国 北京市
第12届中国科学院-第三世界科学院-世界气象组织国际气候论坛暨发展中国家业务化海洋学国际研讨会
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