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 fourth year, this EGU short course, co-organised by the Young Hydrologic Society (, 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:
• Data retrieval
• Extremes modelling
• Hydrological modelling
• Hydrological forecasting
• Machine learning
• Open discussion and QA

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 (

Co-organized by HS11
Convener: Katie SmithECSECS | Co-conveners: Abdou Khouakhi, Ilaria Prosdocimi, Louise SlaterECSECS, Guillaume Thirel
Wed, 28 Apr, 10:00–11:00 (CEST)


  • Katie Smith, UK Centre for Ecology & Hydrology, United Kingdom
  • Louise Slater, University of Oxford, United Kingdom
  • Abdou Khouakhi, Cranfield University, United Kingdom
  • Guillaume Thirel, INRAE, France
  • Ilaria Prosdocimi, Ca Foscari University of Venice, Italy