Chaos theory provides hints for controlling the weather
A research team led by Takemasa Miyoshi (Deputy Program Director, iTHEMS) has devised a new theory of control simulation experiments to study weather controllability.
Under a project led by the RIKEN Center for Computational Science, researchers have used computer simulations to show that weather phenomena such as sudden downpours could potentially be modified by making small adjustments to certain variables in the weather system. They did this by taking advantage of a system known as a “butterfly attractor” in chaos theory, where a system can have one of two states—like the wings of a butterfly—and that it switches back and forth between the two states depending on small changes in certain conditions.
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Reference
- Takemasa Miyoshi and Qiwen Sun, Control simulation experiment with Lorenz's butterfly attractor, Nonlin. Processes Geophys., 29, 133–139 (2022), doi: 10.5194/npg-29-133-2022