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Difference between revisions of "气象气候学2020秋"

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| 5
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| 10/15 Th
| 10/15 Th
| [ Aerosols] (gfdv)
| [ Aerosols] (vnmb)
| AS Ch5
| AS Ch5

Revision as of 09:38, 11 October 2020


傅宗玫 (fuzm AT sustech DOT edu DOT cn, +86(755)8801-8872, 台州楼414)

Teaching Assistant

蒲东川 (12049029 AT mail DOT sustech DOT edu DOT cn)

All students must send an email to the TA by September 14, including their name + year + major + student ID + cell phone number. There will also be a QQ group for the class.


Undergraduate students in hydrology, environmental sciences, oceanography, physics, chemistry, and other disciplines

Time and location

Mondays 10:20-12:10 (every week), Thursdays 8:00-9:50 (odd weeks). All classes will meet at 一教404, EXCEPT the tutorials, which will meet in the computer room in 台州楼401-12.

Office hours

By email appointments

Course material

The follow two textbooks are on reserve in the library:

In addition, we have put together a collection of course resources for your reference:


  1. Final exam (40%):
  2. Term project (20%):
  3. Assignments and pop quizzes (40%)

Field trip

We are planning a field trip to the Meteorological Bureau of Shenzhen Municipality in mid-November. Participation is voluntary but highly recommended. Contact TA to sign up.

Course schedule

Week Date Subject Assignment Reading
1 9/7 M The Earth system and the Atmosphere (naaj) AS Ch1-2; MT Ch1
1 9/10 Th Radiative transfer (p365) AS Ch4; MT Ch2
2 9/14 M ESE315 Tutorial 1 @台州楼401-12 ESE315_Assignment 1
3 9/21 M Radiative transfer (p365) AS Ch4; MT Ch2
3 9/24 Th Atmospheric thermodynamics (fcgw)

Interactive demos of the stability of dry and moist air parcels

AS Ch3; MT Ch3-4
3.5 9/28 M Atmospheric thermodynamics (fcgw) ESE315_Assignment 2 AS Ch3; MT Ch3-4
5 10/12 M Thermodynamics and aerosols (vnmb) ESE315_Assignment 3 AS Ch3; MT Ch3-4
5 10/15 Th Aerosols (vnmb) AS Ch5
6 10/19 M Clouds and precipitation (1v3z) AS Ch6; MT Ch5-7
7 10/26 M ESE315 Tutorial 2 @台州楼401-12 Assignment 4 AS Ch6, 9; MT Ch5-7, 9
7 10/29 Th Clouds and precipitation (1v3z); atmospheric boundary layer (1ygh)
8 11/2 M Atmospheric boundary layer and turbulence (1ygh), atmospheric motion (ai89) AS Ch7, 9; MT Ch9, 11
9 11/9 M Atmospheric motion (ai89) Assignment 5 AS Ch7; MT Ch11
9 11/12 Th Mid- and high-latitude weather (8hwg) AS Ch8; MT Ch12
10 11/16 M Severe weather, low-latitude weather; weather forecasting (phpn) AS Ch8; MT Ch13-16
11 11/23 M ESE315 Tutorial 3 @台州楼401-12 Assignment 6
11 11/26 Th Climate data analysis (sm9t) AS Ch7; MT Ch10, Ch17
12 11/30 M General circulation of the atmosphere and the ocean (wgkb) AS Ch7; MT Ch10, Ch17
13 12/7 M General circulation of the atmosphere and the ocean (wgkb) Assignment 7 AS Ch10; MT Ch17-18
13 12/10 Th Climate system and variability (yjtu) AS Ch7; MT Ch10, Ch17
14 12/14 M Global climate change (b47n) AS Ch10; MT Ch17-18
15 12/21 M Term presentation Assignment 8
15 12/24 Th Climate modeling and atmospheric measurement (98bg)
16/17 17 TBA Final exam 闭卷、英文答题、不需要计算器


Assignments will be distributed on Mondays and are due in two weeks on Monday, BEFORE CLASS STARTS. Late assignments will NOT be graded.

Term project and 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.

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.

The term project and presentation will be graded with the following criteria:

  • The relevance of phenomenon/scientific question (10%)
  • The appropriateness of the data used and analysis methodology (30%)
  • The degree to which the phenomenon/question is addressed by the data analysis (30%)
  • Clarity of the presentation (30%)

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.

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.