Skip to main content
MIT
Climate
Climate
  • Log In
  • Sign Up
  • Search

Main menu

  • Home
  • Explore
  • Community
Post

3Q: Machine learning and climate modeling

MIT Department of Earth Atmospheric and Planetary Sciences's picture
By MIT Department ...
Earth. Planets. Climate. Life.
Posted Feb 15, 2019

Paul O'Gorman, a professor in the MIT Department of Earth, Atmospheric, and Planetary Sciences (EAPS), received a 2017 ESI Seed Grant to use machine learning to reduce the uncertainty in climate models. In this article, he explains how machine learning is expanding into climate research and discusses the limits and challenges of climate modeling. Prof O'Gorman explains that machine learning can be especially helpful in the areas of climate densistivity and predicting regional trends, which are two of the greatest areas of uncertainty in climate modeling. 

Read the full article here: http://news.mit.edu/2019/mit-3q-paul-o-gorman-machine-learning-for-clima...

Photo credit: NASA Goddard Space Flight Center

 

 

18 Upvotes
18 likes
Write a comment
Share:
facebook linkedin twitter email compact

Topics 

  • Science
  • Technology

Related Posts

Post

Disseminating evaporative cooling technologies in rural Uganda

Post

Is silk the solution to growing crops in salty soil?

Post

We need to halve emissions by 2030. They rose again in 2019.

All Comments

Login or Signup to comment
  • About
  • Terms & Conditions
  • Community Guidelines
  • Privacy Policy
  • Send Feedback
MIT
Massachusetts Institute of Technology
Cambridge MA 02139-4307

The views and opinions expressed on this site do not necessarily reflect the official policies or positions of MIT.

  • Home
  • Community
  • Explore
  • Search

Report Content

You must have Javascript enabled to use this form.