Difference between revisions of "大气气溶胶2024春"
From atmoschem
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| [https://pan.baidu.com/s/1sS9fO-NsJJNq9fOIjwMQKQ?pwd=u9sb Aerosol modeling (u9sb) ] | | [https://pan.baidu.com/s/1sS9fO-NsJJNq9fOIjwMQKQ?pwd=u9sb Aerosol modeling (u9sb) ] | ||
| − | | | + | | [[ESE5102 lab 5]] |
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Revision as of 16:27, 29 April 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
Yufan Chen (12232261 AT mail DOT sustech DOT edu DOT cn)
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
- 【YZ】Zhang, Y. et al., Aeorsols in Atmospheric Chemistry, ACS Publications, 154 pp, ISBN: 978-0-8412-9920-0.
- 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 | Topic | Lab/Assignment | Reading |
|---|---|---|---|---|
| 1 | 2/19 M First class | Aerosol fundamentals (gpgx) | ESE5102 Python tutorial | SP 1-3; YZ 1-2 |
| 2 | 2/26 M | Aerosol sizes (wp1g) and dynamics (cht5) | ESE5102 lab 1 | SP 8-9, 13; YZ 1 |
| 3 | 3/4 M | Aerosol optics (wzwn) | ESE5102 lab 2 | SP 15, 19-20 |
| 4 | 3/11 M | Aerosol chemistry: thermodynamics and nucleation (357c) | ESE5102 lab 3 | SP 10, 11 |
| 5 | 3/18 M | Aerosol chemistry: condensational growth (mrhn) and aqueous phase chemistry (1cam) | ESE5102 lab 4 | SP 6-7, 12 |
| 6 | 3/25 M | Aerosol chemistry: aqueous phase and heteorogeneous chemistry | SP 6-7; YZ 5; Zhang et al. (2020, 2023) | |
| 7 | 4/1 M | Organic aerosols (23bj) | ||
| 8 | 4/8 M | Organic aerosols (23bj) | SP 14; YZ 4 | |
| 9 | 4/15 M | Climate and health impacts of aerosols (vrd9) | SP 10 | |
| 10 | 4/22 M | Aerosol modeling (u9sb) | ||
| 11 | 4/29 M | Aerosol modeling (u9sb) | ESE5102 lab 5 | SP 25-26 |
| 12 | 5/6 M | Aerosol observations, literature review | ||
| 13 | 5/13 M | Aerosol observations: in situ and remote sensing | ||
| 14 | 5/20 M | Aerosol observations: in situ and remote sensing | ||
| 15 | 5/27 M | Term presentation | ||
| 16 | 6/3 M | Climate and health effects | SP 23-24; YZ 6 |
Literature review and term presentation
Each student should independently complete a term project to demonstrate a phenomenon or answer a scientific question related to aerosol physics and chemistry. The student is free to choose his/her topic of interest and is fully responsible for finding and analyzing the data.
This will be a 3-stage process:
- Before April 1st: discuss topic with the instructor and decide on a doable project
- May 6th: 5-10 minute literature review
- May 16th: 8-10 minute presentation
The term project and presentation will be graded with the following criteria:
- The relevance of phenomenon/scientific question (10%)
- Completeness and relevance of the literature review (30%)
- The degree to which the phenomenon/question is analyzed and addressed(40%)
- Clarity of the presentation (20%)
Resources for learning python
Some labs, assignments, and the term project may 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.
