- UCAS course code
- FG31
- UCAS institution code
- M20
Bachelor of Science (BSc)
BSc Mathematics and Physics
- Typical A-level offer: A*A*A including specific subjects
- Typical contextual A-level offer: A*AA including specific subjects
- Refugee/care-experienced offer: AAA including specific subjects
- Typical International Baccalaureate offer: 38 points overall with 7,7,6 at HL, including specific requirements
Course unit details:
Meteorology and Forecasting
Unit code | EART31201 |
---|---|
Credit rating | 10 |
Unit level | Level 6 |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Overview
The module will cover three broad areas and skills, which are necessary for understanding and predicting weather; how to read and interpret weather observations and charts from different sources, what are the physical processes that drive different weather phenomena (especially high-impact weather), and how are environmental predictions, such as weather forecasts, produced.
Students will be applying these skills to understand what is happening with the weather around them throughout the course with weekly weather discussions and a weather-forecasting contest. Students will get feedback throughout the course, with short (non-assessed) quizzes each week, a mid-course assessed test, and through their weekly forecasts. Discussion boards and live sessions will also be used to answer questions and discuss any interesting weather news items that may arise during the course.
Aims
Learning outcomes
On the successful completion of the course, students will be able to: | Developed | Assessed | |
ILO 1 | Describe the formation and structure of different weather systems, with a focus on high-impact weather events such as convective storms and cyclones. |
X |
X |
ILO 2 |
Locate and interpret different weather observations and charts to identify and describe different weather phenomena and make simple weather predictions. |
X |
X |
ILO 3 |
Describe how weather forecasts are made, outline the different sources of forecast uncertainty and how they are quantified and minimized, and assess tradeoffs between different approaches given computational constraints. |
X |
X |
ILO 4 | Outline different approaches for communicating forecasts and explain their suitability for different audiences. |
X |
X |
ILO 5 | Apply your knowledge of weather forecast models to explain how you could develop a forecast model for other environmental systems. |
X |
X |
ILO 6 | Design forecasting and communications approaches to address different environmental problems and audiences. | X | X |
Syllabus
Week 1: Introduction and weather observations
Week 2: How weather forecasts get made
Week 3: Introduction to weather systems
Week 4: Deep convection
Week 5: Extratropical Cyclones; Jet Stream; Test #1
Week 6: NO LECTURE
Week 7: Tropical Cyclones
Week 8: Parameterisations in numerical weather forecasting
Week 9: Forecast uncertainty and effective communication
Week 10: Environmental prediction models
Week 11: How extreme weather will change in future climates
Week 12: Test #2
Teaching and learning methods
The course is delivered through a blended learning approach. Each week has its own set of ILOs for students to test their understanding. There will be 3-4 short videos to watch before the timetabled lecture, and a reading list, made up primarily of free online resources, to guide the student’s independent study time. Each live lecture will include a summary of the videos, with opportunity to ask any questions, a live formative quiz and a discussion of the current weather conditions using the latest charts. This will be followed by an exercise aimed at practicing that week’s ILOs (and by extension, possible test questions).
Throughout the course there will be a weekly eLearning-supported weather forecasting contest (MetCast). The course will also make use of ManUniCast.com, the first real-time weather and air-quality forecasting portal for the UK, built in part with eLearning support and funding. The forecasting contest and weekly weather discussions will provide a link between the classroom material and the weather experienced by students day to day. The contest will also be used to provide formative feedback on the student’s ability to find and interpret weather data.
The course will be assessed through a mid-semester test and an end-of-semester test. The first test will provide the opportunity to get feedback on the student’s understanding of the lectures so far, and to revise any material that students have struggled with. Marks are also awarded for participating in the forecasting contest.
Assessment methods
Assessment Type | Weighting % | Hand out and hand in dates | Length | How, when and what feedback is provided | ILO tested |
In-class tests | 85 | Weeks 5 and 12 | 1.5 hours | Written feedback on the students’ handwritten tests | 1,2,3,4,5,6 |
Forecast contest (individual) | 15 | Friday of Weeks 2-11 | 30 minutes a week | Weekly feedback in lecture on how previous forecasts verified | 2,3 |
Recommended reading
I will be signposting online resources for supplementary reading throughout the course.
In addition the following textbooks cover some of the material we cover but are not compulsory reading for the course.
- Ackerman and Knox: Meteorology: Understanding the Atmosphere, 2nd/3rd/4th ed.
Alternatives to the Ackerman and Knox textbook that cover similar material:
- Wallace and Hobbs (2006): Atmospheric Science: An Introductory Survey, 2nd ed.
- Any introductory meteorology textbook by Donald Ahrens in the library.
Textbooks covering specific lectures:
- Markowski and Richardson (2009): Mesoscale Meteorology in Midlatitudes.
- Inness and Dorling (2013): Operational Weather Forecasting
Study hours
Scheduled activity hours | |
---|---|
Lectures | 20 |
Independent study hours | |
---|---|
Independent study | 80 |
Teaching staff
Staff member | Role |
---|---|
David Schultz | Unit coordinator |
Additional notes