Data-driven approaches to hydrological science
This 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.
Being able to access and use a range of data related to the terrestrial hydrological cycle and associated risks (e.g. climate, meteorological, hydrological) is crucial for planning, analysis and management in sectors such as insurance, energy, agriculture, conservation, public policy, scientific research and many more. In this online course, students will learn to find, prepare, manipulate, analyse, model and present hydrological data in a series of skills-focussed workshops and seminars. Students will gain practical experience in collecting, modelling, managing, analysing, storing and visualising hydrological data 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 collect, manage, study, 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 visualise point time series and gridded datasets related to Data Driven Approaches to Hydrological Science
Develop skills in creating outputs that are findable, accessible, interoperable, and reusable (FAIR) while maintaining effective version control
Engage with experts in hydrological data science to exchange knowledge and develop skills essential for collaboration, communication, and innovation in the field.
Target audience:
Upper-level undergraduate or 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:
You will need a laptop, desktop or tablet and access to the internet
Course Coordinator:
Alanna Bodo, Education, Outreach and Project Support Officer
Workshop Leaders:
Amulya Chevuturi, Hydroclimate Data Scientist
Matt Fry, Environmental Informatics Manager
Kit Macleod, Specialist Science Lead (Digital Tools)
Tom Keel, Hydrological Data Analyst
The course will run 14th-16th July 2025.
Applications close 9th May 2025.
