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
We’re delighted to announce that the ‘Using R in Hydrology’ workshop will be running again (for a second year) at EGU 2018!
Session SC1.19/HS12.4 – Using R in Hydrology (co-organized)
Convener: Louise Slater
Co-Conveners: Shaun Harrigan, Tobias Gauster, Alexander Hurley, Guillaume Thirel.
Wondering why or how to use R in hydrology? You’re in the right place! In this short course, you will learn how R is applied in a range of hydrological research settings from a number of guest lecturers.
Topics for 2018 include:
– Recent R updates and packages
– Statistical analysis of hydroclimatic time-series
– Data visualisation
– An introduction to the ‘lfstat’ (low flow statistics) package
– Hydrological modelling (airGR) and teaching modelling (airGRteaching)
This session is aimed at researchers who are interested in hearing more about R as well as those who are advanced R programmers wanting to discuss recent developments in an open environment.
This session is organised in cooperation with the Young Hydrologic Society (YHS; https://younghs.com/)
Two research grants from Loughborough University, from the Institute of Advanced Studies and the SSPGS Seedcorn fund, totalling almost £5K, will enable me to purse research on the Predictability of hydrometeorological extremes using remotely-sensed data. (Thank you Loughborough!) Further details to come.
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.
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).
Our paper has just been accepted in Journal of Climate (American Meteorological Society)!
Zhang, W., Villarini, G., Slater, L., Vecchi, G.A., Bradley, A.A. (2017), Improved ENSO Forecasting using Bayesian Updating and the North American Multi Model Ensemble (NMME), Journal of Climate