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Difference between revisions of "气象气候学2019秋"

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=Assignments=
 
=Assignments=
 
'''''Assignments are due 1 week from the day they are distributed, BEFORE CLASS STARTS. No late assignments will be graded.'''''
 
'''''Assignments are due 1 week from the day they are distributed, BEFORE CLASS STARTS. No late assignments will be graded.'''''
 
Most assignments 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 given access to a SUSTech servre running Jupyter, but this can only be used within the SUSTech network (but you can use a SUSTech VPN).
 
  
 
*[[ESE315 Assignment 1: Learning Python in Jupyter]]
 
*[[ESE315 Assignment 1: Learning Python in Jupyter]]
Line 155: Line 151:
  
 
==Resources for learning python==
 
==Resources for learning python==
 +
Most assignments 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 given access to a SUSTech servre running Jupyter, but this can only be used within the SUSTech network (but you can use a SUSTech VPN).
 +
 
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.
  
  
 
=Term project=
 
=Term project=

Revision as of 21:14, 2 July 2019

Syllabus

Lecturer

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


Teaching Assistant

TBD

9/27前发邮件给助教,以便助教发布通知。邮件主题:姓名+年级+专业+学号+手机号


Students

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


Time and location

待定


Discussions

By email appointments


Course material

The follow two textbooks are on reserve in the library:


Assessments

  1. Final exam (50%):
  2. Term project (20%):
  3. Assignment and pop quizzes (30%)


Field trip

TBD


Course schedule (to be updated)

Date Subject Reading Assignment
9/20 1. 地球、大气及大气的演化 AS Ch1, Ch2;作业第二题数据链接,注意选用SI单位的数据
9/27 2. 辐射和地气系统的能量收支 AS Ch4; MT Ch2, Ch3; 作业第四题下次做
10/4 国庆
10/11 3. 大气热力学和大气稳定度 AS Ch3; 本章作业第1,2,3题+上一章第4题
10/18 4. 云和降水 AS Ch6; MT Ch10; 本周作业略有调整,点此下载作业题目。暂时不要做上课课件里的题目
10/25 5. 云和降水 AS Ch6; MT Ch6, Ch8 冰晶成长视频
11/1 6. 大气气溶胶 AS Ch5; MT Ch17
11/8 7. 大气化学 AS Ch5; MT Ch17
11/15 8. 大气边界层和大气湍流 AS Ch5; 本章作业做1,2,3题;第4题下次做
11/22 9. 大气运动的基本原理 AS Ch7; MT Ch9, 10; 本章作业+上一章第4题
11/29 10. 锋面和气旋 AS Ch8; MT Ch12,13, 14
12/6 11. 雷暴、龙卷和台风 AS Ch8; MT Ch15, 16
12/13 12. 大气环流和大洋环流 AS Ch10; MT Ch10,17
12/20 13. 气候系统和气候变化 MT Ch17, Ch18
12/27 14. 古气候及行星大气 MT Ch 19
1/2 (周三晚上) 答疑 @物理北楼539 18:00-19:00
1/3 15. 大气探测 本章内容不在期末考试范围内
 ? Final exam


Assignments

Assignments are due 1 week from the day they are distributed, BEFORE CLASS STARTS. No late assignments will be graded.

Resources for learning python

Most assignments 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 given access to a SUSTech servre running Jupyter, but this can only be used within the SUSTech network (but you can use a SUSTech VPN).

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.


Term project