GEO4920 – Predictability of Weather and Climate

Course content

This course focus on atmosphere as a dynamical system, and basic definitions of predictability of weather and climate. Data-assimilation in numerical weather prediction, probabilistic weather forecasting, and climate scenarios. Introduction to basic concepts from dynamic system therory such as: finite time growth of perturbations, sensitive dependence on initial conditions, deterministic chaos, predictions of the first and second kind, attractors, Lyapunov-vectors, and singular vectors. Verification of probabilistic forecasts.

Learning outcome

After taken this course, students

  • are familiar with selected methods for assimilation of observational data for the determination of initial states for numerical weather predictions,
  • are familiar with central concepts from the theory of dynamical systems applied to the atmosphere and the earth’s climate system,
  • have an understanding of the prospects and limitations of the forecasting of weather and climate.

Admission

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Prerequisites

Recommended previous knowledge

  • Error: java.lang.NullPointerException or Error: java.lang.NullPointerException 
  • Error: java.lang.NullPointerException, Error: java.lang.NullPointerException, Error: java.lang.NullPointerException

Overlapping courses

  • 10 credits overlap with include:ref: null
  • 10 credits overlap with include:ref: null
  • 10 credits overlap with include:ref: null

Teaching

Lectures and seminars – averaging to 4 hours per week will be given. A written obligatory assignment, which must be handed in around the middle of the semester, must be approved before you are allowed to take the final exam.

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 Students who fail to meet, are considered to have withdrawn from the course unless they have previously given notice to the Study administration, email address: studieinfo@geo.uio.no

Examination

  • A written obligatory assignment must be approved before you are allowed to take the final exam.
  • Final oral examination (appr. 30-35 min) counts for 100%.

Language of examination

You may write your examination paper in Norwegian, Swedish, Danish or English.

In this course any written exam questions or assignment questions may be available in English only.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Explanations and appeals

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.

Withdrawal from an examination

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 one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: Error: java.lang.NullPointerException, Error: java.lang.NullPointerException, and Error: java.lang.NullPointerException

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.

Evaluation

The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.

Other

This course changed code from the autumn of 2018 from GEF4220 - Predictability of Weather and Climate to GEO4920 - Predictability of Weather and Climate.

Facts about this course

Credits

10

Level

Master

Teaching

The course is not taught spring 2020.

Examination

Teaching language

Norwegian (English on request)