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).
Novel data assimilation and ensemble forecast approaches for improving S2D predictions
Impact of model systematic error on forecasts, and approaches to alleviate them
Mechanisms for atmosphere-ocean variability
Understanding of the fundamental limits of predictability
Atmosphere-ocean observing system evaluation for S2D predictions
Practical application of S2D predictions
Sep 01
2017
Sep 22
2017
Abstract Submission Deadline
Registration deadline
2017-09-18 China 东城区
2017 CAS-TWAS-WMO Forum on Climate Science2016-09-19 China Beijing,China
CAS-TWAS-WMO Forum on Climate Science2013-09-09 China 北京市
the 12th CAS-TWAS-WMO Forum, the international workshop on operational oceanography for developing
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