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气象气候学2022秋

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Lecturer

傅宗玫 (fuzm AT sustech DOT edu DOT cn, +86(755)8801-8872, 工学院北楼906)


Teaching Assistant

To be determined

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.


Students

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


Time and location

Fridays 10:20-12:10 (every week), Wednesdays 10:20-12:10 (even weeks). All classes will meet at 荔园2栋207, EXCEPT the tutorials, which will meet in the computer room in 工学院南楼739.


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:


Assessments

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


Assignments

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


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 9/9 F The Earth system and the Atmosphere (gr55) AS Ch1-2; MT Ch1
2 9/14 W Radiative transfer (6xpy) AS Ch4; MT Ch2
2 9/16 F ESE315 Tutorial 1 @工学院南楼739 ESE315_Assignment 1
3 9/23 F Radiative transfer (6xpy) AS Ch4; MT Ch2
4 9/28 W Atmospheric thermodynamics (toez)

Interactive demos of the stability of dry and moist air parcels

ESE315_Assignment 2 AS Ch3; MT Ch3-4
4 9/30 F AS Ch4; MT Ch2
4.5 10/9 Sunday Atmospheric thermodynamics (0sik) @工学院南楼739 Assignments 1 & 2 due AS Ch3; MT Ch3-4
5 10/14 F Thermodynamics and aerosols (bhjl) ESE315_Assignment 3 due Nov 5 AS Ch3; MT Ch3-4
6 10/19 W Aerosols (j50l) AS Ch5
6 10/21 F Clouds and precipitation (udbw) AS Ch6; MT Ch5-7
7 10/28 F atmospheric boundary layer and turbulence (ihz6) @工学院南楼739 AS Ch6, 9; MT Ch 9-10
8 11/2 W ESE315 Tutorial 2@工学院南楼739 ESE 315 Assignment 4 due Nov 12
8 11/4 F Atmospheric motion (ozc4) AS Ch7, 9; MT Ch9, 11
9 11/11 F Mid- and high-latitude weather (4tcm) AS Ch7; MT Ch11
10 11/16 W Mid- and high-latitude weather (4tcm) ESE315_Assignment_5 due Nov 26 AS Ch8; MT Ch12
10 11/18 F 秋季运动会停课 AS Ch8; MT Ch13-16
11 11/25 F Climate data analysis (5kc1) Global SST animation (ffkz),

Global SST anomaly animation (yau8)

AS Ch8; MT Ch13-16
12 11/30 W ESE 315 Tutorial 3, ESE315 Tutorial 4 Tutorial 3 Slides (u8h6), General circulation of the atmosphere and the ocean (6irh) ESE315_Assignment_6 AS Ch7; MT Ch10, Ch17
12 12/2 F Severe weather, low-latitude weather; weather forecasting (1hzm) @工学院南楼739 AS Ch7; MT Ch10, Ch17
13 12/9 F General circulation of the atmosphere and the ocean (18f5) AS Ch10; MT Ch17-18
14 12/14 W Climate system and variability (j6t4) ESE315_Assignment_7 AS Ch7; MT Ch10, Ch17
14 12/16 F Climate system and climate change (4o5a) AS Ch10; MT Ch17-18
15 12/23 F Term presentation ESE315_Assignment_8
16 12/28 W Climate system and climate change (4o5a)
16 12/31 F Atmospheric measurement (6rvx)
17 TBD Final exam 闭卷、英文答题、不需要计算器


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.