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MT2SWCNU-Statistics for Weather and Climate
Module Provider: Meteorology
Number of credits: 10 [5 ECTS credits]
Level:5
Semesters in which taught: Semester 2 module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded: MTMG06 Statistics for Weather and Climate Science
Current from: 2023/4
Module Convenor: Prof Ted Shepherd
Email: theodore.shepherd@reading.ac.uk
NUIST Module Lead: Getachew Dubache
Email: gechdubache@yahoo.com
Type of module:
Summary module description:
A module comprising both a lecture and a practical component, which together introduce students to the use of statistical methods in weather and climate science, and their practical application.
Ìý
Aims:
This module aims to introduce basic statistical concepts and reasoning relevant to environmental science, as well as provide experience in the proper use of statistical methods for the analysis of weather and climate data.
Assessable learning outcomes:
By the end of this module the student should be able to:
- Describe the main concepts in statisticalÌý science;
- Select and compare appropriate analysisÌý methods;
- Critically analyze data and draw correctÌý inferences;
- Use statistical software.
Additional outcomes:
- Discuss the development and importance ofÌý statistics;
- Appraise and criticize quoted statistics (transferable skill).
Outline content:
The lecture content covers:
- History of statistics;
- Exploratory data analysis;
- Probability distributions;
- Statistical inference;
- Linear modelling;
- Multivariate methods;
- Time series analysis.
- The practical content involves supervised hands-on experience using statistical software to analyze and interpret data.
Brief description of teaching and learning methods:
Lectures and computer practical classes.
ÌýReading:
Wilks, D.S., 1995: Statistical methods in the Atmospheric Sciences. AcademicÌý Press.
Storch, H. and Zwiers, F.W., 1999: Statistical analysis in climate research. Cambridge University Press.
Ìý | Semester 1 | Semester 2 |
Lectures | 16 | |
Practicals classes and workshops | 32 | |
Guided independent study: | 52 | |
Ìý | Ìý | Ìý |
Total hours by term | 0 | 100 |
Ìý | Ìý | Ìý |
Total hours for module | 100 |
Method | Percentage |
Written assignment including essay | 100 |
Summative assessment- Examinations:
Summative assessment- Coursework and in-class tests:
ÌýÌýPractical assignments.
Formative assessment methods:
Penalties for late submission:
The Support Centres will apply the following penalties for work submitted late:
- 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 five working days;
- where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.
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.
Assessment requirements for a pass:
40%
Reassessment arrangements:
ÌýResubmission of alternative practical assignment(s).
Additional Costs (specified where applicable):
Last updated: 17 April 2023
THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.