Responsible: Marvin Kähnert, Nadine Steiger, Sonja Wahl, Leilane Passos (UiB)
Credit points: 1 ETCS
Max no. of participants: 20
Registration deadline: 9 October, 2020
Registration form is here.
Participant submission list
Numerical models are crucial to scientific advancement. They compel scientific hypotheses to provide repeatable results, which can then be validated against measurements. However, few model training programs cover the spectra of existing models or prepare students for the practical use of models. Therefore, many PhD students are ‘stuck’ with a ‘learning-by-doing’ approach. What are the consequences of moving from the continuous to a discrete world and how is it handled? How does the interplay between hypotheses, models, and measurements look like in the form of schemes, data assimilation, and verification? How are model experiments designed?
This course aims to give insight into such question in a balanced mix between theoretical concepts and practical applications.
The course will be held at the geophysical institute at UiB. For the bigger part of the lectures, the expert will be present whereas the international lecturers will be giving virtual lectures for the students in the classroom.
The course will start by introducing the basic concepts of numerical modelling and will then proceed to focus on specialized models such as climate, ocean and operational weather prediction models. Further, essential concepts like Data Assimilation, verification as well as innovative model diagnostics such as tracers or trajectory analysis will be covered. Students will get hands on experience with available tools for the efficient work with model data. Each lecture will be given by a respective expert from multiple institutions such as the University of Bergen, MET Norway, ETH Zürich or the Nansen Center. Poster/PICO sessions will further propel discussions between and among the participants and lecturers.
The participants are expected to have a keen interest in the concept and/or work with numerical models. Basic knowledge about working with Linux is appreciated. Upon registration the participants will be asked to give at least one pressing question of theirs regarding modelling. These questions will be integrated into the discussions and lectures.
* More efficient use of numerical models on a daily work basis
* Broader awareness of and knowledge about different types of models within geosciences
* Introduction to different ways of combining observations and models
* Networking among PhD students from different fields with modelling interest
Looking forward to welcoming you all in Bergen