View source for 大气气溶胶2024春

=Lecturer=
[https://fugroup.org/index.php/Tzung-May_FU 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. [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]]
*[[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==
*[https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6_SYR_SPM.pdf IPCC AR6 Synthesis Report Summary for Policymakers]
*[https://report.ipcc.ch/ar6syr/pdf/IPCC_AR6_SYR_LongerReport.pdf IPCC AR6 Synthesis Report Longer Report]
*[https://www.ipcc.ch/working-group/wg1/ WG1 Climate Change 2021: The Physical Science Basis];
*[https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_FullReport_small.pdf WG1 Full Report];
*[https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_SPM.pdf 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=
{| class="wikitable" border="1"
|-
! Week
! Date
! Topic
! Lab/Assignment
! Reading
|-
| 1
| 2/19 M '''''First class'''''
| Aerosol fundamentals
| [[
| 
|-
| 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:'''''
# 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.