Climate Indicators

The role of machine learning in helping to save the planet

machine learning can be used to fill in data 'gaps' from satellites, like this satellite here

It's impossible for humans to go through all the data from observation and climate models, but machine learning can help Image: Unsplash/SpaceX

Navid Constantinou
ARC DECRA Research Fellow, Australian National University
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Climate Indicators

this robot is 'machine learning'
AI and computers can greatly aid efforts to create accurate climate models for the future. Image: Josué Martínez-Moreno

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this diagram shows the area covered by the SWOT satellite after three days in orbit
This diagram shows the area covered by the SWOT satellite after three days in orbit. Although SWOT allows high-accuracy measurements, neighbouring areas in the ocean are not sampled as frequently. Image: C. Ubelmann/CLS
this diagram shows an artist’s impression of the SWOT satellite over the earth
An artist’s impression of the SWOT satellite. Image: NASA/CERN, CC BY

Here you can see ocean surface currents modelled at two different resolutions
maps showing ocean surface currents modelled at two different resolutions. On the left is a model akin to those typically used for climate projections. The model on the right is much more accurate and realistic, but is unfortunately too computationally restrictive to be used for climate projections. Image: COSIMA

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Climate IndicatorsData ScienceClimate Change
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