Difference between revisions of "气象气候学2019秋"
From atmoschem
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==Resources for learning python== | ==Resources for learning python== | ||
If you are new to Python or Jupyter, we recommend that you go through a few online tutorials. Here are a few recommendations: | If you are new to Python or Jupyter, we recommend that you go through a few online tutorials. Here are a few recommendations: | ||
+ | *[https://www.learnpython.org/ On short online Python tutorial] | ||
*[http://www.johnny-lin.com/pyintro/ A Hands-on Introduction to Using Python in the Atmospheric and Oceanic Sciences] This is a Python textbook geared specifically for use in atmospheric and oceanic sciences. The writing is extremely clear and useful. Highly recommended. The PDFs can be downloaded for free. | *[http://www.johnny-lin.com/pyintro/ A Hands-on Introduction to Using Python in the Atmospheric and Oceanic Sciences] This is a Python textbook geared specifically for use in atmospheric and oceanic sciences. The writing is extremely clear and useful. Highly recommended. The PDFs can be downloaded for free. | ||
*[https://unidata.github.io/online-python-training/ Unidata's online Python tutorial for atmospheric science.] | *[https://unidata.github.io/online-python-training/ Unidata's online Python tutorial for atmospheric science.] |
Revision as of 08:28, 4 May 2019
Contents
Syllabus
Lecturer
傅宗玫 (fuzm@sustech.edu.cn +86(755)88018872,台州楼414)
Teaching Assistant
待定
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:
- AS: Atmospheric Science, An Introductory Survey, J. M. Wallace and P. V. Hobbs, Academic Press, ISBN:012732951X
- MT: Meteorology Today, C. D. Ahrens and R. Henson, Brooks Cole, ISBN:1305113586
- Meteorology and Climatology: other material (check weekly!)
Assessments
- Final exam (50%):
- Term project (20%):
- 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
The assignment for this requires calculations and plottings using Python in Jupyter Notebooks. Python is a powerful programming language. Jupyter Notebooks provide an easy, web-based way to combine code, plots, and descriptive text.
Resources for learning python
If you are new to Python or Jupyter, we recommend that you go through a few online tutorials. Here are a few recommendations:
- On short online Python tutorial
- A Hands-on Introduction to Using Python in the Atmospheric and Oceanic Sciences This is a Python textbook geared specifically for use in atmospheric and oceanic sciences. The writing is extremely clear and useful. Highly recommended. The PDFs can be downloaded for free.
- Unidata's online Python tutorial for atmospheric science.
- Dr McCray (McGill University) put together a few Python tutorials for atmospheric science.
- A guide for python plotting with Matplotlib