Module manager: Steven Dobbie
Email: J.S.E.Dobbie@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
SOEE1400 Introduction to Meteorology and Weather Forecasting
This module is approved as a discovery module
This module is a general, non-mathematical, introduction to meteorology and weather forecasting. The course emphasises the basic physical concepts and processes that underlie our weather, explaining the nature of important features such as warm and cold 'fronts', depressions, cloud types, and the weather associated with them. It explains how to understand and interpret the wide range of publicly available weather information and how to use this information to make your own forecasts.
On completion of this module students will:
- have a basic understanding of the fundamental physical processes that drive our weather, the structure of important atmospheric features - such as centres of high and low pressure and frontal systems - and the weather associated with them;
- be able to interpret standard meteorological charts, observation reports, and satellite imagery, and to use these to make basic forecasts.
The course will emphasise physical concepts and the practical application of these concepts to making forecasts, rather than formal theoretical or mathematical treatments of atmospheric processes.
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1 demonstrate a basic understanding of the fundamental physical processes that drive our weather, the structure of important atmospheric features - such as centres of high and low pressure and frontal systems - and the weather associated with them;
2 interpret standard meteorological charts, observation reports, and satellite imagery, and to use these to make basic forecasts.
Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
3 analysing, synthesising and summarising information critically, including prior research;
4 applying knowledge and understanding to address familiar and unfamiliar problems;
5 receiving and responding to a variety of information sources (eg textual numerical, verbal, graphical);
6 communicating appropriately to a variety of audiences in written, verbal and graphical form;
7 appreciating issues of sample selection, accuracy, precision and uncertainty during collecting, recording and analysis of data in the field and laboratory.
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Practicals | 6 | 1 | 6 |
| Lecture | 12 | 1 | 12 |
| Private study hours | 82 | ||
| Total Contact hours | 18 | ||
| Total hours (100hr per 10 credits) | 100 | ||
Verbal feedback on work completed in preparation for, and during workshop classes: worksheets and forecasting exercises.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Assignment | Coursework | 30 |
| Total percentage (Assessment Coursework) | 30 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 1.0 Hrs 0 Mins | 70 |
| Total percentage (Assessment Exams) | 70 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 4/23/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team