Location: Online
Cost: Free – costs are covered by the collaborating projects
Date: 13th - 16th July 2026 (candidates are expected to be available between 0900 and 1700 BST on all four days)
This Summer School is an iteration of our successful past summer school Modelling Hydrology and Global Change. This Summer School has taken place yearly since July 2021.
Data-driven approaches to hydrological science is an interactive online course delivered by the following projects: Hydro-JULES, FDRI, NC-UK, NC-International, CANARI and Co-Centre for Climate+
This course is free for successful applicants.
In this online course, you will learn to find, prepare, manipulate, analyse, model and present hydrological data in a series of skills-focussed workshops and seminars. You will gain an understanding of hydrological modelling, machine learning, water resources modelling, and more.
We invite participants from across the globe to take part in this exciting opportunity to build confidence working with environmental data underpinning understanding and management of the hydrological cycle and its extremes. Be sure to apply early, as spaces are limited!
Learning objectives
Throughout the course you will:
- Learn about recent advances in Data Driven Approaches to Hydrological Science from leading experts who find, collect, manage, apply and communicate hydrological data to explore the most pressing environmental challenges
- Gain an overview of various techniques and technologies in hydrological data science and their various applications
- Use Python and Jupyter notebooks to access, manipulate, and view time series and gridded datasets related to Data Driven Approaches to Hydrological Science
- Gain an understanding of the FAIR (findable, accessible, interoperable and reusable) principles and the importance of applying FAIR to your research, by creating FAIR data outputs
Target audience:
- Postgraduate students or early career researchers who would like to advance their understanding of data-driven hydrological science and the tools and technologies that can support this.
- Consultancies, monitoring agencies and other industry professionals who would like to improve their ability to work with hydrological data and the tools and technologies that can support this.
Level:
Beginner to Intermediate
Places:
Maximum 25 learners
Hardware and software requirements:
No specialist software needed - the Summer School can be run in a web browser on your own computer. A stable internet connection is required.
Applications open soon!
