‘Using R in Hydrology’ workshop, EGU (April 2018)

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)

EGUR

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/)

http://meetingorganizer.copernicus.org/EGU2018/session/28914

Upcoming seminars

See here for an updated list of seminars (Hull, Maynooth, New Orleans, Durham..)

  • On Monday 22nd May we are hosting a Water Research Day at Loughborough University, as part of the Water@Lboro initiative.
  • On Wednesday 21st June I will be visiting the European Centre for Medium-Range Weather Forecasts (ECMWF) to talk about global statistical forecasting
  • On Thursday 16th November I will be visiting Oxford to give a talk on Fluvial geomorphology and flood risk management for Oxford Water Network‘s Michaelmas term seminar series

Seminars Feb-Mar 2016

On Thurs. 11 February 2016, I’ll present “Climatic, hydrologic and geomorphic drivers of trends in flood hazards (UK/USA)” for the University of Minnesota Department of Earth Sciences 2015-2016 Seminar Series.

On Wed. 23 March 2016, I will present our new model for “Seasonal discharge forecasting in an agricultural watershed” at the Iowa Flood Center.