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Photo by — @jordansteranka

Climate Modelling Clouds With AI

We Need To Look at the Clouds

If you are looking for a technical article on the topic of clouds the best paper award at NeurIPS within the climate change track is not the worst place to start. The article is called Cumulo: A Dataset for Learning Cloud Classes. It won within a track at one of the most prestigious AI conferences in the world, with such a large amount of papers submitted that is a feat worth recognition. Yet let us consider for a moment why this is important.

“One of the greatest sources of uncertainty in future climate projections comes from limitations in modelling clouds and in understanding how different cloud types interact with the climate system.”

One of the great aspects was Cumolo, the dataset they had provided:

“[…] enabling the Machine-Learning community to develop innovative new techniques which could greatly benefit the Climate community.”

Their dataset contains 105,120 geolocated and hyperspectral images and provides a combination of channels from different sources.

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Image from aforementioned arXiv paper retrieved the 13th of March 2020
  • There is a limited understanding of the mechanisms and relationships between clouds, climate and global circulation
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Image from aforementioned arXiv paper retrieved the 13th of March 2020

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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