Rising Sea Level:  Future Projections & Regional Impacts
 
Observational evidence, such as from satellites, tide gauge, core sampling, etc., shows that over the past century global mean sea level has risen by 10 to 20 cm. The IPCC projected rise of 29 to 82 cm by the end of the century will have a devastating effect on coastal habitats and communities. This session aims to provide a comprehensive overview of future projections of sea level rise and to generate a discussion on the impacts of climate change on coastal environments.

 

Physical and biogeochemical ocean modeling: development, assessment and applications
 
Physical and biogeochemical numerical ocean models of varying complexity are used routinely by many oceanographers. Ocean models are often coupled to other models, such as sea-ice, land-ice and atmospheric models. This session provides a forum to discuss the “science behind the science” of ocean model development and associated fields.

 

The goal of the WWRP/THORPEX-WCRP joint Subseasonal-to-Seasonal (S2S) research project is to improve forecast skill and understanding on the subseasonal to seasonal timescale, and promote its uptake by operational centers and exploitation by the applications community. 
 
The conference will bring together research community, the operational centers, and the applications community interested in forecasts on subseasonal to seasonal timescale. 

 

The workshop aims to: 
 
  • Review regional sea level projections simulated for high-end climate change scenarios as they result from CIMIP5 and other computations 
  • Discuss implications for a range of regional sea level scenarios 
  • Analyze in depth inherent uncertainties of and consistencies among existing estimates 
  • Develop a strategy as to how to further improve regional sea level projections 
  • Present studies resulting from downscaling to better address regional sea level projections and their uncertainties, e.g. for the North Atlantic, Baltic/North Sea and Mediterranean 
  • Discuss the quality of models analyzed through dedicated model-data intercomparison studies