Climate forecasts on sub-seasonal to seasonal (S2S) timescales are an emerging and essential part of hydrological forecasting. With horizons ranging from two weeks to a season, these probabilistic forecasts are used in industries such as transport, energy, agriculture, forestry, health, insurance, tourism and infrastructure. Already today, many water sectors cope with extreme weather events, climate variability and change. Climate services provide science-based and user-specific information on possible impacts, based on weather forecasts and climate projections.
* making use of climate data for hydrological modelling (downscaling, bias correction, temporal disaggregation, spatial interpolation and other technical challenges),
* methods to improve forecasting of hydrological extremes,
* improved representations of hydrological extremes in a future climate,
* Discuss and compare seamless forecasting including downscaling and statistical post- and pre-processing
* propagation of climate model uncertainty to hydrological models and impact assessment,
* lessons learnt from forecasting and managing present day extreme conditions,
* effective methods to link stakeholder interests and scientific expertise.
* Implement operational climatic forecasting systems
We in particular will have presentations from WWRP/WCRP S2S projects that utilise the newly established S2S project database, and all hydrological relevant applications. In addition new initiative such as the Horizon 2020 IMRPEX and BINGO project will present an outline of their current and future activities.