SC5.12

EDI
Using R in Hydrology

R is an open-source, versatile programming language that is suitable for multi-scale analyses from just a few observations to big data and high-performance computing. It has a growing, enthusiastic user-base (including hydrologists) that is responsible for a continuous stream of ever more efficient and useful packages and workflows.

Running for its fifth year, this EGU short course, co-organised by the Young Hydrologic Society (younghs.com), will introduce and showcase a selection of both core and recently developed R packages that can be applied to data analyses in hydrology, as well as other scientific disciplines.

The course will be delivered by hydrologists with wide experience in subjects including: hydrological modelling (including flood and drought analysis), forecasting, statistics, and eco-hydrology.

Topics covered in this years’ course include:
• Topic tbd (Claudia Brauer)
• Identification of hydrologic events (Conrad Wasko + Danlu Guo)
• Flood forecast verification in R (Andrea Ficchi)
• The (mis)use of colours in scientific visualizations (Michael Stoelzle)
• Machine learning for spatio-temporal modelling (Razi Sheikholeslami)

This course contributes new topics to those delivered in previous years, building upon the openly accessible Github repository for hydrologists using R in their work (https://github.com/hydrosoc).

Public information:

Detailed programme:

  • 8.30-8.50 Identification of hydrologic events (Conrad Wasko + Danlu Guo)
  • 8.50-9.10 Flood forecast verification in R (Andrea Ficchi)
  • 9.10-9.30 Machine learning for spatio-temporal modelling (Razi Sheikholeslami)
  • 9.30-9.50 The (mis)use of colours in scientific visualizations (Michael Stoelzle)
  • 9.50-10.00 Using R in education (Claudia Brauer)
Co-organized by HS11
Convener: Claudia Brauer | Co-conveners: Conrad Wasko, Danlu Guo, Andrea Ficchì
Thu, 26 May, 08:30–10:00 (CEST)
 
Room -2.61/62
Public information:

Detailed programme:

  • 8.30-8.50 Identification of hydrologic events (Conrad Wasko + Danlu Guo)
  • 8.50-9.10 Flood forecast verification in R (Andrea Ficchi)
  • 9.10-9.30 Machine learning for spatio-temporal modelling (Razi Sheikholeslami)
  • 9.30-9.50 The (mis)use of colours in scientific visualizations (Michael Stoelzle)
  • 9.50-10.00 Using R in education (Claudia Brauer)

Speakers

  • Conrad Wasko, University of Melbourne, Australia
  • Danlu Guo, University of Melbourne, Australia
  • Andrea Ficchì, Politecnico di Milano, Italy
  • Razi Sheikholeslami, University of Oxford, United Kingdom
  • Michael Stoelzle, University of Freiburg, Germany
  • Claudia Brauer, Wageningen University, Netherlands