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| [https://pan.baidu.com/s/1LdA2rQCUtgTWW3RdVLyEJw Severe weather, low-latitude weather] (miha)
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| [https://pan.baidu.com/s/1KuGJZ2nkHBZpIbf8bZMxkg Severe weather, low-latitude weather; weather forecasting] (phpn)
 
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| [https://pan.baidu.com/s/1vnn6g3IN3l0euDr3cO_AnQ Climate data analysis] (sm9t)
 
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| AS Ch7; MT Ch10, Ch17

Revision as of 16:06, 25 November 2019

Lecturer

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


Teaching Assistant

王欣驰 (11930633 AT mail DOT sustech DOT edu DOT cn)

All students must send an email to the TA by September 7, 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

Tuesdays 8:00-9:50 (every week), Fridays 10:20-12:10 (even 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:


Assessments

  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 on November 23 (Saturday). Participation is voluntary but highly recommended. Contact TA to sign up.


Course schedule

Week Date Subject Assignment Reading
1 9/3 T The Earth system and the Atmosphere (bx3g) AS Ch1-2; MT Ch1
2 9/10 T ESE315 Tutorial 1 @台州楼401-12 ESE315 Assignment 1
2 9/13 F 中秋节放假
3 9/17 T Radiative transfer (f2jt) AS Ch4; MT Ch2
4 9/24 T Radiative transfer (f2jt) ESE315 Assignment 2 AS Ch4; MT Ch2
4 9/27 F Atmospheric thermodynamics (qqc4) AS Ch3; MT Ch3-4
4 9/29 Sunday Atmospheric thermodynamics (qqc4) AS Ch3; MT Ch3-4
10/1 T 国庆放假
5 10/8 T Thermodynamics and aerosols (gfdv) ESE315 Assignment 3 AS Ch3; MT Ch3-4
5 10/12 Saturday Aerosols (gfdv) AS Ch5
6 10/15 T Clouds and precipitation (1v3z) AS Ch6; MT Ch5-7
6 10/18 F Clouds and precipitation (1v3z); atmospheric boundary layer (1ygh) AS Ch6, 9; MT Ch5-7, 9
7 10/22 T ESE315 Tutorial 2 @台州楼401-12 ESE 315 Assignment 4
8 10/29 T Atmospheric boundary layer and turbulence (1ygh), atmospheric motion (ai89) AS Ch7, 9; MT Ch9, 11
8 11/1 F Atmospheric motion (ai89) AS Ch7; MT Ch11
9 11/5 T Mid- and high-latitude weather (8hwg) ESE315 Assignment 5 AS Ch8; MT Ch12
10 11/12 T Severe weather, low-latitude weather; weather forecasting (phpn) AS Ch8; MT Ch13-16
10 11/15 F 校运会停课 AS Ch8; MT Ch13-16
11 11/19 T ESE315 Tutorial 3 @台州楼401-12 ESE315 Assignment 6
12 11/26 T Climate data analysis (sm9t) AS Ch7; MT Ch10, Ch17
12 11/29 F 调课至12/14(周六)10-12点@台州楼420 AS Ch7; MT Ch10, Ch17
13 12/3 T General circulation of the atmosphere and the ocean ESE315 Assignment 7 AS Ch7; MT Ch10, Ch17
14 12/10 T Climate system and variability (74gw) AS Ch10; MT Ch17-18
14 12/13 F Climate system and variability AS Ch10; MT Ch17-18
14 12/14 Sat @台州楼420 Climate change and hydrology AS Ch10; MT Ch17-18
15 12/17 T Term presentation ESE315 Assignment 8
16 12/24 T Climate modeling and atmospheric measurement
16 12/27 F Paleoclimate
17-18 12/30-1/10 期末考试周


Assignments

Assignments will be distributed on Tuesdays and are due in two weeks on Tuesday, 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-minute presentation (7-minute talk + 3-minute Q&A) 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.