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| 1
 
| 1
 
| 2/19 M '''''First class'''''
 
| 2/19 M '''''First class'''''
−
| [https://pan.baidu.com/s/1v6dzQl2a_DmDB3VgCNCeHg?pwd=0rr8 The Earth system and the Atmosphere] (0rr8)
+
| Aerosol fundamentals
−
|
+
| [[Aerosol lab 1]]
−
| AS Ch1-2; MT Ch1
+
|  
 
|-
 
|-
 
| 2
 
| 2
 
| 2/26 M
 
| 2/26 M
−
| [https://pan.baidu.com/s/1NO22vgpVdCert5REUuv6SQ?pwd=li6o Radiative transfer] (li6o)
+
| Aerosol microphysics and optics
−
|  
+
| [[Aerosol lab 2]]
 
| AS Ch4; MT Ch2
 
| AS Ch4; MT Ch2
 
|-
 
|-
 
| 3
 
| 3
 
| 3/4 M
 
| 3/4 M
−
| [https://pan.baidu.com/s/1NO22vgpVdCert5REUuv6SQ?pwd=li6o Radiative transfer] (li6o)
+
| Aerosol microphysics and optics
−
[[ESE315 Tutorial 1]]
+
| [[Aerosol lab 3]]
−
| [[ESE315_Assignment 1]]
+
|  
−
| AS Ch4; MT Ch2
+
 
|-
 
|-
 
| 4
 
| 4
 
| 3/11 M
 
| 3/11 M
−
| '''''中秋节放假'''''
+
| Aerosol chemistry: nucleation and condensational growth
−
|  
+
| [[Aerosol lab 4]]
 
|
 
|
 
|-
 
|-
 
| 5
 
| 5
 
| 3/18 M  
 
| 3/18 M  
−
| [https://pan.baidu.com/s/1NO22vgpVdCert5REUuv6SQ?pwd=li6o Radiative transfer] (li6o)
+
| Aerosol chemistry: aqueous phase chemistry
−
[[ESE315 Tutorial 1]]  
+
| [[Aerosol lab 5]]
 
|  
 
|  
−
| AS Ch4; MT Ch2
 
 
|-
 
|-
 
| 6
 
| 6
 
| 3/25 M
 
| 3/25 M
−
| [https://pan.baidu.com/s/1iHZyGJPVxRx3i2Sjy290Zw?pwd=txdk Atmospheric thermodynamics] (txdk)
+
| Aerosol chemistry: aqueous phase and heteorogeneous chemistry
−
Interactive demos of the stability of [http://fugroup.org/misc/dry.html dry] and [http://fugroup.org/misc/moist.html moist] air parcels
+
|
 
|  
 
|  
−
| AS Ch3; MT Ch3-4
 
 
|-
 
|-
 
| 7
 
| 7
 
| 4/1 M
 
| 4/1 M
−
| [https://pan.baidu.com/s/1iHZyGJPVxRx3i2Sjy290Zw?pwd=txdk Atmospheric thermodynamics] (txdk)
+
| Aerosol chemistry: inorganics
−
Interactive demos of the stability of [http://fugroup.org/misc/dry.html dry] and [http://fugroup.org/misc/moist.html moist] air parcels
+
|  
−
| [[ESE315_Assignment 2]]
+
|  
−
| AS Ch3; MT Ch3-4
+
 
|-
 
|-
 
| 8
 
| 8
 
| 4/8 M
 
| 4/8 M
−
| [https://pan.baidu.com/s/1iHZyGJPVxRx3i2Sjy290Zw?pwd=txdk Atmospheric thermodynamics] (txdk)
+
| Aerosol chemistry: organics
−
| '''''Assignments 1 due'''''
+
|  
−
| AS Ch3; MT Ch3-4
+
|  
 
|-
 
|-
 
| 9
 
| 9
 
| 4/15 M
 
| 4/15 M
−
| [https://pan.baidu.com/s/1pUzcReHDzldRxrOjqylKsQ?pwd=ztif Thermodynamics and aerosols] (ztif)
+
| Thermodynamic models
 +
| [[Aerosol lab 6]]
 
|  
 
|  
−
| AS Ch3; MT Ch3-4
 
 
|-
 
|-
 
| 10
 
| 10
 
| 4/22 M
 
| 4/22 M
−
| [https://pan.baidu.com/s/190uMUUCNm23NdVfeKK3p2A?pwd=48wt Clouds and precipitation] (48wt)
+
| Other models: VBS, MOSAIC
−
| [[ESE315_Assignment 3]]
+
|
−
| AS Ch5
+
|  
 
|-
 
|-
 
| 11
 
| 11
 
| 4/29 M
 
| 4/29 M
−
| [https://pan.baidu.com/s/190uMUUCNm23NdVfeKK3p2A?pwd=48wt Clouds and precipitation] (48wt)
+
| Other models: CMB, PMF, etc
−
| '''''Assignment 2 due'''''
+
| [[Aerosol lab 7]]
 
| AS Ch6, 9; MT Ch 9-10
 
| AS Ch6, 9; MT Ch 9-10
 
|-
 
|-
 
| 12
 
| 12
 
| 5/6 M
 
| 5/6 M
−
| [https://pan.baidu.com/s/1tRjpQEwH_EnWCvX8PIp4QA?pwd=5km9 Atmospheric boundary layer and turbulence] (5km9)
+
| Literature review, aerosol observations
 +
|
 
|  
 
|  
−
| AS Ch8; MT Ch13-16
 
 
|-
 
|-
 
| 13
 
| 13
 
| 5/13 M  
 
| 5/13 M  
−
| [[ESE315 Tutorial 2]] [https://pan.baidu.com/s/1_MXa8qrRgYgZMwXIz21BJw?pwd=roup Tutorial 2 slides]
+
| Aerosol observations: in situ and remote sensing
−
|  [[ESE 315 Assignment 4]]  
+
|  [[Aerosol lab 8]]  
−
| AS Ch7, 9; MT Ch9, 11
+
|  
 
|-
 
|-
 
| 14
 
| 14
 
| 5/20 M
 
| 5/20 M
−
| [https://pan.baidu.com/s/1hmyW4GtDqlncErU_1rXohQ Atmospheric motion] (1un4)
+
| Aerosol observations: in situ and remote sensing
−
| '''''Assignment 3 due'''''
+
| [[Aerosol lab 8]]
−
| AS Ch7; MT Ch11
+
|  
 
|-
 
|-
 
| 15
 
| 15
Line 151: Line 147:
 
| '''''Term presentation'''''
 
| '''''Term presentation'''''
 
|  
 
|  
−
| AS Ch7; MT Ch11
+
|  
 
|-
 
|-
 
| 16
 
| 16
 
| 6/3 M  
 
| 6/3 M  
 +
| Climate and health effects
 
|  
 
|  
 
|  
 
|  
−
| AS Ch8; MT Ch13-16
 
 
|}
 
|}
  
−
=Term project and presentation=
+
=Literature review and term 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.  
+
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:
 +
#
  
 
'''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.'''
 
'''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.  
+
Each student will give a 10 to 15-minute presentation (length of time depending on the number of registered students) at the end of the semester.  
  
 
The term project and presentation will be graded with the following criteria:
 
The term project and presentation will be graded with the following criteria:
 
* The relevance of phenomenon/scientific question (10%)
 
* The relevance of phenomenon/scientific question (10%)
−
* The appropriateness of the data used and analysis methodology (30%)
+
* Completeness and relevance of the literature review (30%)
−
* The degree to which the phenomenon/question is addressed by the data analysis (30%)
+
* The degree to which the phenomenon/question is analyzed and addressed(40%)
−
* Clarity of the presentation (30%)
+
* Clarity of the presentation (20%)
  
  
 
=Resources for learning python=
 
=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.
+
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 10:57, 12 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 Subject Assignment Reading
1 2/19 M First class Aerosol fundamentals Aerosol lab 1
2 2/26 M Aerosol microphysics and optics Aerosol lab 2 AS Ch4; MT Ch2
3 3/4 M Aerosol microphysics and optics Aerosol lab 3
4 3/11 M Aerosol chemistry: nucleation and condensational growth Aerosol lab 4
5 3/18 M Aerosol chemistry: aqueous phase chemistry Aerosol 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 Aerosol lab 6
10 4/22 M Other models: VBS, MOSAIC
11 4/29 M Other models: CMB, PMF, etc Aerosol lab 7 AS Ch6, 9; MT Ch 9-10
12 5/6 M Literature review, aerosol observations
13 5/13 M Aerosol observations: in situ and remote sensing Aerosol lab 8
14 5/20 M Aerosol observations: in situ and remote sensing Aerosol 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:

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 registered 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%)
  • 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

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.

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