GEO4902 – Numerical Weather Prediction
Course description
Schedule, syllabus and examination date
Course content
Learning outcome
After completing this course, you are able to
- outline the main components of numerical weather prediction systems
- discuss applications for data assimilation
- use and analyze techniques to verify forecasts
- analyze ensemble forecasts and discuss atmospheric predictability
Admission to the course
Both master's students and PhD candidates can take this course.
Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other master's degree programmes can, on application, be admitted to the course if this is cleared by their own study programme.
Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.
PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb. If a course has limited intake capacity, priority will be given to master's students who follow an individual education plan where this particular course is included.
The course has a max capacity of 20 students. If there are more than 20 applicants for the course, applicants will be ranked after the following categories:
- Master's students in Geosciences admitted to one of the following programme options (not prioritized order):
- PhD candidates from the University of Oslo (MN-faculty)
- Other students
Applicants will be ranked by the number of ECTS-credits within each category: all applicants within category 1 are ranked before applicants in category 2. If there are space limitations in the course, available places will be given to students selected randomly within the same category.
Based on experience, there is generally room for everyone who applies for admission to the course within the deadline.
Recommended previous knowledge
Overlapping courses
- 10 credits overlap with GEO9902.
Teaching
Teaching consists of 4 hours of lectures per week during the semester. The students are expected to give one mandatory presentation of a paper in the class during the semester. In addition, there will be mandatory python-exercises to analyze and understand weather forecast characteristics. The results and analysis based on the programming will be handed in and approved.
Attendance at the first lecture is compulsory. Students who fail to meet are considered to have withdrawn from the course unless they have previously given notice to the course responsible.
We reserve the right to change the teaching form and examination of the course in semesters where 5 or fewer students have been admitted.
Examination
- Presentation of a paper and submitted results and analysis from Python exercises must be approved before you can sit the final exam.
- A final oral examination counts 100% towards the final grade.
Mandatory assignments are valid for 5 semesters starting from the semester they were approved the first time.
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
It will also be counted as 1 of the 3 attempts to sit the exam for this course if you sit the exam for the following course:
- GEO9902
Examination support material
Grading scale
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass, the original examination.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.