New paper in GRL: statistical-dynamical forecasting of seasonal streamflow

Pleased to say that our paper has just been accepted in Geophysical Research Letters.

Slater, L.J., Villarini, G. (2018Enhancing the predictability of seasonal streamflow with a statistical dynamical approach. doi:10.1029/2018GL077945

Key words: Seasonal forecasting, Streamflow, NMME, Precipitation, Temperature, Land cover.

https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018GL077945

Seasonal Forecasting Workshop (January 2018)

A workshop on ‘Seasonal forecasting: Meeting User Needs’ is being held on 24th-25th January 2018 at Loughborough University (UK), co-sponsored by the British Hydrological Society, the RCUK Drought and Water Scarcity Programme, Water @ Loughborough, and Water @ Reading.

The aim of this workshop is to focus on the seasonal forecast needs of users and practitioners, and to identify ways of improving the dissemination, uptake and operationalisation of seasonal forecasts by the water and agricultural sectors.

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Confirmed speakers include:

  • The EFAS seasonal forecasting system (Louise Arnal, European Centre for Medium-Range Weather Forecasts)
  • Advancing the science behind operational seasonal forecasting: the Hydrological Outlook UK (Jamie Hannaford, Centre for Ecology and Hydrology)
  • Seasonal forecasting for effective water management on the canal network (David Mould, Canal & River Trust)
  • Seasonal weather forecasts and British farming (Ceris Jones, National Farmers’ Union)
  • The Global Flood Awareness System (Rebecca Emerton, Water @ Reading University)
  • Ensemble projections, scenarios and forecasts: operational assessment of water resources prospects (Richard Davis and Karen James, Environment Agency)
  • Improving seasonal drought forecasting for user-decision making: The IMPETUS, EdGE and ENDOWS projects (Shaun Harrigan, Simon Parry, Centre for Ecology and Hydrology)

Abstract submission: Abstracts for oral and poster presentations are welcomed. Please send your abstract (up to 300 words) including title, authors and affiliations to SeasonalForecasting@lboro.ac.uk by Friday 15th December 2017.

For more information, please email: SeasonalForecasting@lboro.ac.uk

Further details/registration: https://www.ice.org.uk/events/seasonal-forecasting-meeting-user-needs