Welcome to the course website for EASC10102, Earth's Atmospheric Composition. It contains all the material you need to complete the course.
Course administrator: Katerina Sykioti (0131 650 5430)
Week 1: Introduction/course overview/atmospheric properties/simple models
Week 2: Stratospheric chemistry
Week 3: Tropospheric chemistry 1 - CO, CH4, nitrogen oxides, ozone
Week 4: Tropospheric chemistry 2 - ozone pollution, acid rain
Week 5: Tropospheric chemistry 3 - emissions & dry/wet deposition
Week 6: Tropospheric chemistry 4 - aerosols
We are using Jupyter notebooks for the computer labs. We have three one-hour lab sessions. No prior computing experience necessary.
School of GeoSciences Jupyter Service: https://www.geos.ed.ac.uk/notebook/hub/home
You will be able to download a personal copy of the notebook to work individually in class.
Getting started:
The learning objectives for computing practicals:
Overarching objectives:
Specific objectives:
Laboratory 1 (Week 3): Orientation. E-folding lifetimes. Mass balance.
Laboratory 2 (Week 5): Horizontal and vertical distributions of atmospheric CO2; comparing models with data
Laboratory 3 (Week 7): Analysis of PM2.5 over Edinburgh UK, Delhi India, and Beijing China; relating changes to PM2.5 to human health.
You can can download these files from github:
"git clone https://github.com/paulpalmerlab/eac" or go to https://github.com/paulpalmerlab/eac and download a zip file containing the code.
Lecture times: Mondays 1210-1300; Tuesdays 1510-1600.
Revision classes: Weeks 3, 5, 7, and 9 on Tuesdays 1610-1700.
Computer practicals (NOTE TIMES): Week 3 on Tuesday 1300-1400 and Weeks 5, and 7 on Tuesdays 1510-1600.
A summary of the 19/20 teaching semester 2 for this course is shown below.
I use an inverted lecture model in which core (book-work) material is delivered on-line before the physical lecture that can then focus on understanding material, current science and problem solving (including computer practicals that do not require knowledge of coding).
We will make use of Tophat, which you may have used in previous classes. It will be used in lectures times and revision classes. Below are the relevant codes.
COURSE JOIN CODE: 216370
REVISION QUIZ JOIN CODE: 090639