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Difference between revisions of "大气气溶胶2024春"

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*【CM】自编教材
 
*【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
 
*【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. [http://web.stanford.edu/group/efmh/jacobson/FAMbook2dEd/index.html 章节投影片]
 
*Jacobson, M. Z., Fundamentals of Atmospheric Modeling, 2nd edition, Cambridge University Press, New York, ISBN: 0521548659. [http://web.stanford.edu/group/efmh/jacobson/FAMbook2dEd/index.html 章节投影片]
 
*[[大气气溶胶课程:其他参考资料]]
 
*[[大气气溶胶课程:其他参考资料]]

Revision as of 12:08, 14 February 2024

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

IPCC AR6 Reports


Assessments

  1. Attendance (10%)
  2. Assignments and pop quizzes (40%)
  3. Literature review (15%):
  4. 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 ESE5102 Python tutorial
2 2/26 M Aerosol microphysics and optics ESE5102 lab 1, ESE5102 lab 2
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:

  1. Before April 1st: discuss topic with the instructor and decide on a doable project
  2. May 6th: 5-10 minute literature review
  3. 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.