ΑΙhub.org
 

Machine learning for climate science and Earth observation – a webinar from Climate Change AI

by
16 November 2021



share this:

earth
The most recent webinar in the Climate Change AI series covered machine learning for climate science and Earth observation. We heard from two experts in the field, and you can watch the recording below. Maike Sonnewald spoke about trustworthy AI for climate analysis, and Gustau Camps-Valls talked about physics-aware machine learning for Earth sciences.

A robust blueprint for trustworthy AI for climate analysis

Maike Sonnewald, Princeton University.

In her presentation, Maike put forward a blueprint for a transparent machine learning application that reveals 3D ocean current structures from surface fields in climate models. She talked about how she applies this to predict ocean current changes. As a result of climate change there is great variability in global heat transport and this application can aid in understanding that variability. The application is designed to be interpretable and explainable so that it can deliver actionable insights in support of climate decision making.

Physics-aware machine learning for Earth sciences

Gustau Camps-Valls, Universitat de València.

When it comes to Earth science problems, it is desirable to build models that are physically interpretable. Machine learning models are excellent approximators, but very often do not have the laws of physics in-built. This means that consistency and trustworthiness can be compromised. In this talk, Gustau reviewed the main challenges in the field of physics-aware machine learning, and introduced several ways to carry out research at the interface of physics and machine learning.

Useful links

Climate Change AI webpage
Events from Climate Change AI
Webinars from Climate Change AI

AIhub focus issue on climate action

tags: , ,


Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



AIhub monthly digest: November 2021 – avoiding hype, musical dissonance, and AI thanksgiving

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
30 November 2021, by

What’s coming up at NeurIPS 2021?

Find out about the talks, workshops, tutorials, and other events scheduled at NeurIPS this year, taking place from 6-14 December, 2021.
29 November 2021, by

EMNLP 2021 in tweets

We bring you the livetweeted keynotes and papers from EMNLP in different languages.
26 November 2021, by

AIhub coffee corner: AI thanksgiving

The AIhub coffee corner captures the musings of AI experts over a 30-minute conversation.
25 November 2021, by

Interview with Tao Chen, Jie Xu and Pulkit Agrawal: CoRL 2021 best paper award winners

The award-winning authors describe their work on a system for general in-hand object re-orientation.
24 November 2021, by

Machine learning in chemistry – a symposium

Four talks demonstrate the variety of ways in which machine learning can be applied to chemistry problems.
23 November 2021, by





©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association