澳门六合彩开奖记录
MTMNUM: Numerical Modelling for Weather and Climate Science
Module code: MTMNUM
Module provider: Meteorology; School of Mathematical, Physical and Computational Sciences
Credits: 20
Level: Postgraduate Masters
When you'll be taught: Semester 2
Module convenor: Professor Pier Luigi Vidale, email: p.l.vidale@reading.ac.uk
Pre-requisite module(s):
Co-requisite module(s): IN THE SAME YEAR AS TAKING THIS MODULE YOU MUST TAKE MTMFMD (Compulsory)
Pre-requisite or Co-requisite module(s):
Module(s) excluded:
Placement information: NA
Academic year: 2024/5
Available to visiting students: Yes
Talis reading list: No
Last updated: 21 May 2024
Overview
Module aims and purpose
To show how numerical schemes can be designed to preserve fundamental properties of fluid flows. To bring you up to speed with the core components of state-of-the-art numerical models for the atmosphere and oceans and their use in predicting weather and climate. To bring you up to speed with experimental designs used in solving 鈥淕rand Challenge鈥 problems with geoscientific modelling.聽
Module learning outcomes
By the end of the module, it is expected that students will be able to:聽
- Recognise the strengths and weaknesses of the main numerical methods used to model the atmosphere and oceans and explain their derivation.聽
- Design numerical models to solve atmosphere/ocean problems, and聽
- Perform numerical analysis, prior to model implementation聽
- Implement idealised models by programming in Python, Julia, FORTRAN or C++, and
- Evaluate models using benchmark problems and known properties of the system聽
- Understand complex model design and process-based assessment聽
Module content
- History of numerical modelling: from first principles in the 1800s to today鈥檚 exascale challenges聽
- Finite difference methods: Advection and diffusion, CFL in 1-D and 2-D聽
- Advanced time schemes: from explicit to implicit and iterative schemes聽
- Fluids on rotating Earth: traditional 2-D finite difference schemes聽
- From Euler鈥檚 equations to the shallow water model聽
- Chaos and predictability in weather and climate聽
- Using complex nonlinear models: experimental designs and injection of uncertainty by design聽
- Wave dispersion in finite difference models: from 1D to 2D, to Arakawa grid staggering聽
- Alternative numerical methods for transport by the flow: finite volumes, finite elements, spectral elements聽
- Alternative numerical methods for transport by the flow: the spectral method聽
- Alternative numerical methods for transport by the flow: the Semi-Lagrangian method聽
- Parameterization of unresolved processes: radiation and aerosols聽
- Parameterization of unresolved processes: convective parametrisation and microphysics聽
- Parameterization of unresolved processes: turbulence, orographic and gravity wave drag聽
- Parameterization of unresolved processes: biophysics and carbon modelling on land and in the ocean聽
- Coupling of multiple Earth System components: model hierarchies and experimental design for solving Earth System prediction problems聽
- New methods to represent unresolved processes: stochastic physics, artificial intelligence, reduced precision numerical schemes聽
- Supercomputing at the exascale: parallelism,聽 scalability, new programming paradigms, Large Data strategies聽
- Supercomputing at the exascale: new dynamical cores, unstructured meshes.聽
Structure
Teaching and learning methods
The module counts on 20聽lectures which enable the students to tackle three practicals:聽
- On advanced time integration, starting with simple oscillation and going into the design and implementation of a simple model of ENSO, which includes ensemble prediction聽
- On simulation of an ocean gyre with a shallow water model, which teaches students about wave propagation in 2D and about coupled equations聽
- (Formative Practical): On designing and running a simple prediction problem with an idealised (simplified) version of a state-of-the-art numerical model.聽
Study hours
At least 50 hours of scheduled teaching and learning activities will be delivered in person, with the remaining hours for scheduled and self-scheduled teaching and learning activities delivered either in person or online. You will receive further details about how these hours will be delivered before the start of the module.
聽Scheduled teaching and learning activities | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Lectures | 20 | ||
Seminars | |||
Tutorials | |||
Project Supervision | 10 | ||
Demonstrations | |||
Practical classes and workshops | 30 | ||
Supervised time in studio / workshop | |||
Scheduled revision sessions | |||
Feedback meetings with staff | |||
Fieldwork | |||
External visits | |||
Work-based learning | |||
聽Self-scheduled teaching and learning activities | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Directed viewing of video materials/screencasts | 5 | ||
Participation in discussion boards/other discussions | |||
Feedback meetings with staff | |||
Other | |||
Other (details) | |||
聽Placement and study abroad | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Placement | |||
Study abroad | |||
聽Independent study hours | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Independent study hours | 135 |
Please note the independent study hours above are notional numbers of hours; each student will approach studying in different ways. We would advise you to reflect on your learning and the number of hours you are allocating to these tasks.
Semester 1 The hours in this column may include hours during the Christmas holiday period.
Semester 2 The hours in this column may include hours during the Easter holiday period.
Summer The hours in this column will take place during the summer holidays and may be at the start and/or end of the module.
Assessment
Requirements for a pass
Students need to achieve an overall module mark of 50% to pass this聽module.
Summative assessment
Type of assessment | Detail of assessment | % contribution towards module mark | Size of assessment | Submission date | Additional information |
---|---|---|---|---|---|
Written coursework assignment | Practical 1: computer project and scientific report | 40 | 6 weeks | ||
Written coursework assignment | Practical 2: computer project and scientific report | 40 | 6 weeks | ||
In-class test administered by School/Dept | Test | 20 | 1 hour |
Penalties for late submission of summative assessment
The Support Centres will apply the following penalties for work submitted late:
Assessments with numerical marks
- where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of three working days;
- the mark awarded due to the imposition of the penalty shall not fall below the threshold pass mark, namely 40% in the case of modules at Levels 4-6 (i.e. undergraduate modules for Parts 1-3) and 50% in the case of Level 7 modules offered as part of an Integrated Masters or taught postgraduate degree programme;
- where the piece of work is awarded a mark below the threshold pass mark prior to any penalty being imposed, and is submitted up to three working days after the original deadline (or any formally agreed extension to the deadline), no penalty shall be imposed;
- where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.
Assessments marked Pass/Fail
- where the piece of work is submitted within three working days of the deadline (or any formally agreed extension of the deadline): no penalty will be applied;
- where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension of the deadline): a grade of Fail will be awarded.
The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/qap/penaltiesforlatesubmission.pdf
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.
Formative assessment
Formative assessment is any task or activity which creates feedback (or feedforward) for you about your learning, but which does not contribute towards your overall module mark.
笔谤补肠迟颈肠补濒听
Reassessment
Type of reassessment | Detail of reassessment | % contribution towards module mark | Size of reassessment | Submission date | Additional information |
---|---|---|---|---|---|
Written coursework assignment | Practical: computer project and scientific report | 80 | During the University resit period | ||
In-class test administered by School/Dept | Test | 20 | During the University resit period |
Additional costs
Item | Additional information | Cost |
---|---|---|
Computers and devices with a particular specification | ||
Required textbooks | ||
Specialist equipment or materials | ||
Specialist clothing, footwear, or headgear | ||
Printing and binding | ||
Travel, accommodation, and subsistence |
THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.