I’m delighted to announce that I have just taken on the role of Chair for the Oxford Water Network (OWN), which includes 150 academics across the university. The role involves setting the agenda for water research across the University, heading the OWN leadership team, overseeing our events (seminars, conferences, and other activities), and growing the network (partners, members, and beyond). OWN is also one of Oxford’s Networks for the Environment (ONE). Please do reach out if you are interested!
Our two-day workshop in Loughborough on Seasonal Forecasting of Water Resources – Meeting User Needs (24-25 January) was attended by 43 participants from a diverse range of organisations (CEH, ECMWF, EA, SEPA, NRW, NCAS, National Farmers’ Union, Canal & River Trust, SMHI, Civil Protection Agency), water agencies/ consultancies (Anglian Water Services, Scottish Water, CH2M, South West Water Ltd), and universities (Maynooth, Reading, Coventry, Loughborough, Colima, Newcastle, West of England, WSL), with delegates from six countries (UK, Ireland, Mexico, Italy, Switzerland, Sweden). The event was co-sponsored by the RCUK Drought Programme, Water@Loughborough, Water@Reading, and the British Hydrological Society.
We are planning to write a summary of the meeting for the British Hydrological Society’s newsletter Circulation, a Letter to NERC, and an opinion paper.
For more pictures of the event, please see the #SeasonalForecasting hashtag on Twitter!
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.
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
Two new NERC-funded PhD positions starting in 2018 are available with me and colleagues at Loughborough University, as part of the CENTA Doctoral Training Programme.
Applications for 2018 entry are now live. Further details on how to apply can be found here. Please see the links above for further details. The application deadline is 22 January 2018.
Looking forward to presenting my research at the Oxford Water Network seminar series! More details here.
On October 12th, I will be giving a talk at Maynooth university on ‘Disentangling streamflow drivers and forecasting water hazards using Earth Observation’ (details here).
Two papers accepted this month:
Slater, L.J., Villarini, G. (2017) Evaluating the drivers of seasonal streamflow rates in the U.S. Midwest, Water (MDPI). Open Access. PDF.
Villarini, G., Slater, L.J. (2017) Examination of Changes in Annual Maximum Gage Height in the Continental United States Using Quantile Regression, Journal of Hydrologic Engineering (ASCE)