EGU

Using R in Hydrology – short course @EGU18

~ Louise Slater

We’re delighted to announce that the ‘Using R in Hydrology’ workshop will be running again (for a second year) at EGU 2018!

The session is organised in cooperation with the Young Hydrologic Society (YHS) and materials will be made available on the YHS GitHub page (rhydro_EGU18).

EGUR

Convener: Louise Slater
Co-Conveners: Shaun Harrigan, Claudia Vitolo, Tobias Gauster, Alexander Hurley, Guillaume Thirel.

  • Introduction to the short course – Louise Slater
  • Accessing hydrological data using web APIs (a demo of the rnrfa package) – Claudia Vitolo
  • Extracting netCDF climate data for hydrological analyses (reading and visualising gridded data) – Louise Slater
  • Processing, modelling and visualising hydrological data in R (tidyverse; piping, mapping and nesting) – Alexander Hurley
  • Hydrological modelling and teaching modelling (airGR and airGRteaching) – Guillaume Thirel
  • Typical hydrological tasks in R (List columns, Leaflet and coordinate transformation, Open Street Maps) – Tobias Gauster

The 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.

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

EGU 2017

~ Louise Slater

I’m delighted to have obtained funding from the British Hydrological Society to give two talks at the European Geosciences Union in Vienna in April:

  • Slater, L.J.. An early career researcher’s perspective on presenting flood risk research to the media (solicited). PICO on Wednesday, 26 Apr 2017 at 13:46 in this session (HS1.10 How my water research made the news, by invitation only).
  • Slater, L.J. and Villarini, G. Statistical-dynamical long-range seasonal forecasting of streamflow with the North-American Multi Model Ensemble (NMME). Oral on Friday, 28 Apr 2017 at 11:30 in this session (HS4.6/CL3.02;From sub-seasonal forecasting to climate projections: predicting hydrologic extremes and servicing water managers).