The Data Challenge in Climate Science

author: Gavin Schmidt, NASA Goddard Institute for Space Studies
produced by: NASA Ames Video and Graphics Branch
published: June 27, 2012,   recorded: October 2011,   views: 3590

See Also:

Download slides icon Download slides: cidu2011_schmidt_climate_01.pdf (4.6┬áMB)

Help icon Streaming Video Help

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


I will discuss the challenges in analyzing data in climate science with ever-increasing observational streams from satellites and increasing complexity and resolution in climate models. I will describe specific challenges in climate model parameterization, dealing with multi-model ensembles, the rise of process-based diagnostics and data mining techniques, and the potential for computer science and machine learning to contribute to solving those problems.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: