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Global Warming II: Create Your Own Models in Python, 芝加哥大学

34 个评分
13 个审阅


This class provides a series of Python programming exercises intended to explore the use of numerical modeling in the Earth system and climate sciences. The scientific background for these models is presented in a companion class, Global Warming I: The Science and Modeling of Climate Change. This class assumes that you are new to Python programming (and this is indeed a great way to learn Python!), but that you will be able to pick up an elementary knowledge of Python syntax from another class or from on-line tutorials....


创建者 IS

Feb 16, 2017

I would love some more excercises, more modeling concepts. A great experience after all!

创建者 SK

Jan 18, 2018

A challenging course that gives a basic insight to the world of climate modelling


12 个审阅

创建者 Adrienn Gyalus

Feb 27, 2019

Like others mentioned, it's a pity that the forums are no longer monitored (at least it was the case when I followed), because the instructions are sometimes hard to understand, even with the best effort to explain from the Professor. But don't let that discourage you - it's a great course where you can learn about basic climate process by DOING!

创建者 Marijana Milicevic

Mar 12, 2018

A very nice course! Thanks to the author(s)! I only find formulation of the problem a bit difficult to follow. At first we see a video of the code commented by the professor, but at that moment we know only vaguely what are the knowns and what the unknowns , so its a bit confusing. I think it would be nice to explicit that somehow and make formulation more fluent. Another thing, for some problems professor says that for Python is computationally hard to handle calculations with a big number of unit cells for example (if I understood well). What is hard for Python of course is to plot a lot of things in real time, for each step. If we plot only some number of iterations, or export results on another way its completely fine for python to do much more complex stuff. I'm sure professor knows this, but for new learners of Python its confusing what he says.

创建者 Smail Kozarcanin

Jan 18, 2018

A challenging course that gives a basic insight to the world of climate modelling

创建者 Amy Briffa

Jan 18, 2018

A great introduction to using python for numerical calculations and graph plotting. Level of course is pitched perfectly for someone with experience of computer programming but new to learning python. The course material is structured very well: the course writer clearly put in a lot of effort to create really interesting exercises which made learning python very engaging. There was a nice mix between the early weeks of the course which offered approachable exercises and later weeks which provided more challenging but very rewarding ones.

创建者 Bastin Jean

Aug 02, 2017

Really interesting and a good way to learn Python even if we don't have any experience with programming. Grecommended!

创建者 Arnaud Lemercinier

Jul 26, 2017

Very good content, learned a lot, notably in Python. Practical.


Feb 16, 2017

I would love some more excercises, more modeling concepts. A great experience after all!

创建者 Simon Crase

Nov 09, 2016

As far as I know, this course is unique: it is the only one that lets you build your knowledge of modeling climate change by building your own models. I'm giving it 4, not 5, as the forums are very quiet. Prof. Archer has done a great job of providing infrastructure so students can focus on the physics. Assessment is a combination of a grader, to check your code in particular cases, peer review, and quizzes that will be easy if you code works. You can probably bluff your way through the quizzes, but it's easier to get your code working and then read off the answers to the questions. Peer reviews also give you a chance to see how other students have solved the problems.

创建者 Frank Merritt

Aug 21, 2016

This contains some very interesting and challenging exercises related to "Global Warming I", which are fun to work on. It contains no real instructions about python, and I think it would be better to at least have some guidance there. However, the course info is at least totally up-front with that information.

Although this course is related to "Global Warming II", it is not correlated with it. It would be a mistake to take them concurrently, since GW-II moves much faster, and is a much shorter course. This was not clear to me when I signed up, and it should be made clear to students at the beginning.

I like Prof. Archer a lot, he seems like a good teacher. However, aside from brief introductory lectures (and the selection of great topics for simulation) he plays a rather small role in the course. The student is pretty much on his own. There is no TA or anyone monitoring Discussion questions. There are some places where the "Model Description" notes are incorrect and badly misleading (notably in Week 4). I pointed this out, with others, in the "Discussion Forum", but we got no response and there was no correction. There are other places where information is unclear, but there is no one to turn to for clarification.

创建者 Laura Melling

Aug 07, 2016

The course was an interesting way to explore writing models to explore climate change. The way the assignments are written was sometimes confusing.