Chaos theory provides hints for controlling the weather

Date:
March 28, 2022
Source:
RIKEN
Summary:
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.



FULL STORY ========================================================================== 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.


========================================================================== While weather predictions have reached levels of high accuracy thanks to methods such as supercomputer-based simulations and data assimilation,
where observational data is incorporated into simulations, scientists
have long hoped to be able to control the weather. Research in this area
has intensified due to climate change, which has led to more extreme
weather events such as torrential rain and storms.

There are methods at present for weather modification, but they have
had limited success. Seeding the atmosphere to induce rain has been demonstrated, but it is only possible when the atmosphere is already in a
state where it might rain. Geoengineering projects have been envisioned,
but have not been carried out due to concerns about what unpredicted
long-term effects they might have.

As a promising approach, researchers from the RIKEN team have looked to
chaos theory to create realistic possibilities for mitigating weather
events such as torrential rain. Specifically, they have focused on a
phenomenon known as a butterfly attractor, proposed by mathematician
and meteorologist Edward Lorentz, one of the founders of modern chaos
theory. Essentially, this refers to a system that can adopt one of two
orbits that look like the wings of a butterfly, but can change the orbits randomly based on small fluctuations in the system.

To perform the work, the RIKEN team ran one weather simulation, to serve
as the control of "nature" itself, and then ran other simulations, using
small variations in a number of variables describing the convection --
how heat moves through the system -- and discovered that small changes
in several of the variables together could lead to the system being in
a certain state once a certain amount of time elapsed.

According to Takemasa Miyoshi of the RIKEN Center for Computational
Science, who led the team, "This opens the path to research into
the controllability of weather and could lead to weather control
technology. If realized, this research could help us prevent and
mitigate extreme windstorms, such as torrential rains and typhoons,
whose risks are increasing with climate change." "We have built a new
theory and methodology for studying the controllability of weather," he continues. "Based on the observing system simulation experiments used in previous predictability studies, we were able to design an experiment to investigate predictability based on the assumption that the true values (nature) cannot be changed, but rather that we can change the idea of what
can be changed (the object to be controlled)." Looking to the future,
he says, "In this case we used an ideal low-dimensional model to develop
a new theory, and in the future we plan to use actual weather models to
study the possible controllability of weather." The work, published in Nonlinear Processes of Geophysics, was done as part of the Moonshot R&D Millennia program, contributing to the new Moonshot goal #8.


========================================================================== Story Source: Materials provided by RIKEN. Note: Content may be edited
for style and length.


========================================================================== Journal Reference:
1. Takemasa Miyoshi, Qiwen Sun. Control simulation experiment with
Lorenz's
butterfly attractor. Nonlinear Processes in Geophysics, 2022; 29
(1): 133 DOI: 10.5194/npg-29-133-2022 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2022/03/220328101303.htm

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