Difference between revisions of "大气气溶胶2024春"
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Revision as of 10:26, 12 February 2024
Contents
Lecturer
傅宗玫 (fuzm AT sustech DOT edu DOT cn, +86(755)8801-8872, 工学院北楼906)
Teaching Assistant
TBD
All students must send an email to the TA during the first week, including their name + year + major + student ID + cell phone number. There will also be a QQ group for the class.
Students
Graduate students in environmental sciences.
Time and location
Mondays 19:00-22:00 @三教404
Office hours
By email appointments
Course material
- 【CM】自编教材
- 【SP】Seinfeld, J. H., and Pandis, S. N., Atmospheric Chemistry and Physics: from Air Pollution to Climate Change, 3rd edition, J. Wiley, New York, USA, 1152 pp. ISBN: 978-1118947401
- Jacobson, M. Z., Fundamentals of Atmospheric Modeling, 2nd edition, Cambridge University Press, New York, ISBN: 0521548659. 章节投影片
- 大气气溶胶课程：其他参考资料
- Meteorology and Climatology: other material Check weekly! 其他参考资料，每周关注！
- Meteorology and Climatology Glossary 中英文名词对照
- Python resources
IPCC AR6 Reports
- IPCC AR6 Synthesis Report Summary for Policymakers
- IPCC AR6 Synthesis Report Longer Report
- WG1 Climate Change 2021: The Physical Science Basis;
- WG1 Full Report;
- WG1 Summary for policy makers;
Assessments
- Attendance (10%)
- Assignments and pop quizzes (40%)
- Literature review (15%)：
- Term project (35%)：
Assignments
Assignments will mostly be distributed on Mondays and are due in two weeks, BEFORE CLASS STARTS. Late assignments will NOT be graded.
Course schedule
| Week | Date | Subject | Assignment | Reading |
|---|---|---|---|---|
| 1 | 2/19 M First class | The Earth system and the Atmosphere (0rr8) | AS Ch1-2; MT Ch1 | |
| 2 | 2/26 M | Radiative transfer (li6o) | AS Ch4; MT Ch2 | |
| 3 | 3/4 M | Radiative transfer (li6o) | ESE315_Assignment 1 | AS Ch4; MT Ch2 |
| 4 | 3/11 M | 中秋节放假 | ||
| 5 | 3/18 M | Radiative transfer (li6o) | AS Ch4; MT Ch2 | |
| 6 | 3/25 M | Atmospheric thermodynamics (txdk)
Interactive demos of the stability of dry and moist air parcels |
AS Ch3; MT Ch3-4 | |
| 7 | 4/1 M | Atmospheric thermodynamics (txdk)
Interactive demos of the stability of dry and moist air parcels |
ESE315_Assignment 2 | AS Ch3; MT Ch3-4 |
| 8 | 4/8 M | Atmospheric thermodynamics (txdk) | Assignments 1 due | AS Ch3; MT Ch3-4 |
| 9 | 4/15 M | Thermodynamics and aerosols (ztif) | AS Ch3; MT Ch3-4 | |
| 10 | 4/22 M | Clouds and precipitation (48wt) | ESE315_Assignment 3 | AS Ch5 |
| 11 | 4/29 M | Clouds and precipitation (48wt) | Assignment 2 due | AS Ch6, 9; MT Ch 9-10 |
| 12 | 5/6 M | Atmospheric boundary layer and turbulence (5km9) | AS Ch8; MT Ch13-16 | |
| 13 | 5/13 M | ESE315 Tutorial 2 Tutorial 2 slides | ESE 315 Assignment 4 | AS Ch7, 9; MT Ch9, 11 |
| 14 | 5/20 M | Atmospheric motion (1un4) | Assignment 3 due | AS Ch7; MT Ch11 |
| 15 | 5/27 M | Term presentation | AS Ch7; MT Ch11 | |
| 16 | 6/3 M | AS Ch8; MT Ch13-16 |
Term project and presentation
Each student should independently complete a data analysis project using Python to demonstrate a phenomenon or answer a scientific question related to meteorology or climate. The student is free to choose his/her topic of interest and is fully responsible for finding and analyzing the data.
However, to ensure success, each student must meet with the Instructor before November 15th to discuss his/her plan and data for the term project.
Each student will give a 10 to 15-minute presentation (length of time depending on the number of students) at the end of the semester.
The term project and presentation will be graded with the following criteria:
- The relevance of phenomenon/scientific question (10%)
- The appropriateness of the data used and analysis methodology (30%)
- The degree to which the phenomenon/question is addressed by the data analysis (30%)
- Clarity of the presentation (30%)
Resources for learning python
Assignments and the term project require calculation and plotting using Python in Jupyter Notebooks. Python is a powerful programming language, while Jupyter Notebooks provide an easy, web-based way to combine code, plots, and descriptive text.
Students are encouraged to install Python and Jupyter using the popular Anaconda distribution. See our Python resources page for instructions. Students enrolled in this course will also be granted access to a SUSTech server running Jupyter, but this can only be used within the SUSTech network (but you can use a SUSTech VPN outside campus). Details will be announced in class.
If you are new to Python or to Jupyter, we recommend that you go through a few online tutorials. Check out our Python resources page.
