Difference between revisions of "大气气溶胶2024春"
From atmoschem
| Line 62: | Line 62: | ||
| 2/19 M '''''First class''''' | | 2/19 M '''''First class''''' | ||
| Aerosol fundamentals | | Aerosol fundamentals | ||
| − | | [[ | + | | [[ESE5102 lab 1]] |
| | | | ||
|- | |- | ||
| Line 68: | Line 68: | ||
| 2/26 M | | 2/26 M | ||
| Aerosol microphysics and optics | | Aerosol microphysics and optics | ||
| − | | [[ | + | | [[ESE5102 lab 2]] |
| AS Ch4; MT Ch2 | | AS Ch4; MT Ch2 | ||
|- | |- | ||
| Line 74: | Line 74: | ||
| 3/4 M | | 3/4 M | ||
| Aerosol microphysics and optics | | Aerosol microphysics and optics | ||
| − | | [[ | + | | [[ESE5102 lab 3]] |
| | | | ||
|- | |- | ||
| Line 80: | Line 80: | ||
| 3/11 M | | 3/11 M | ||
| Aerosol chemistry: nucleation and condensational growth | | Aerosol chemistry: nucleation and condensational growth | ||
| − | | [[ | + | | [[ESE5102 lab 4]] |
| | | | ||
|- | |- | ||
| Line 86: | Line 86: | ||
| 3/18 M | | 3/18 M | ||
| Aerosol chemistry: aqueous phase chemistry | | Aerosol chemistry: aqueous phase chemistry | ||
| − | | [[ | + | | [[ESE5102 lab 5]] |
| | | | ||
|- | |- | ||
| Line 110: | Line 110: | ||
| 4/15 M | | 4/15 M | ||
| Thermodynamic models: ISORROPIA, E-AIM | | Thermodynamic models: ISORROPIA, E-AIM | ||
| − | | [[ | + | | [[ESE5102 lab 6]] |
| | | | ||
|- | |- | ||
| Line 122: | Line 122: | ||
| 4/29 M | | 4/29 M | ||
| Other models: CMB, PMF, etc | | Other models: CMB, PMF, etc | ||
| − | | [[ | + | | [[ESE5102 lab 7]] |
| | | | ||
|- | |- | ||
| Line 134: | Line 134: | ||
| 5/13 M | | 5/13 M | ||
| Aerosol observations: in situ and remote sensing | | Aerosol observations: in situ and remote sensing | ||
| − | | [[ | + | | [[ESE5102 lab 8]] |
| | | | ||
|- | |- | ||
| Line 140: | Line 140: | ||
| 5/20 M | | 5/20 M | ||
| Aerosol observations: in situ and remote sensing | | Aerosol observations: in situ and remote sensing | ||
| − | | [[ | + | | [[ESE5102 lab 8]] |
| | | | ||
|- | |- | ||
| Line 174: | Line 174: | ||
=Resources for learning python= | =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. | 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. | 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. | ||
Revision as of 11:07, 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 | Aerosol fundamentals | ESE5102 lab 1 | |
| 2 | 2/26 M | Aerosol microphysics and optics | ESE5102 lab 2 | AS Ch4; MT Ch2 |
| 3 | 3/4 M | Aerosol microphysics and optics | ESE5102 lab 3 | |
| 4 | 3/11 M | Aerosol chemistry: nucleation and condensational growth | ESE5102 lab 4 | |
| 5 | 3/18 M | Aerosol chemistry: aqueous phase chemistry | ESE5102 lab 5 | |
| 6 | 3/25 M | Aerosol chemistry: aqueous phase and heteorogeneous chemistry | ||
| 7 | 4/1 M | Aerosol chemistry: inorganics | ||
| 8 | 4/8 M | Aerosol chemistry: organics | ||
| 9 | 4/15 M | Thermodynamic models: ISORROPIA, E-AIM | ESE5102 lab 6 | |
| 10 | 4/22 M | Other models: VBS, MOSAIC | ||
| 11 | 4/29 M | Other models: CMB, PMF, etc | ESE5102 lab 7 | |
| 12 | 5/6 M | Aerosol observations, literature review | ||
| 13 | 5/13 M | Aerosol observations: in situ and remote sensing | ESE5102 lab 8 | |
| 14 | 5/20 M | Aerosol observations: in situ and remote sensing | ESE5102 lab 8 | |
| 15 | 5/27 M | Term presentation | ||
| 16 | 6/3 M | Climate and health effects |
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.
