Accelerating-0.mp3
Accelerating-0.mp4
Accelerating-I.mp3
Accelerating-I.mp4<
Accelerating-II.mp3
Accelerating-II.mp4
Accelerating-Reggae.mp3
Accelerating-Reggae.mp4
Accelerating-intro.mp3
[Intro]
Not only moving
(Accelerating)
Accelerating
(At an exponential rate)
[Bridge]
We’ve cast our fate
(Great!)
[Verse 1]
So hard to hit
The target
Fast as (shh)…
It won’t beget
[Chorus]
Not only moving
(Accelerating)
Accelerating
(At an exponential rate)
[Outro]
We’ve cast our fate
(Great!)
A SCIENCE NOTE
Introduction
Research and development have long been at the heart of King Arthur’s work, encompassing the arts, economics, and the physical sciences. Over time, risk management became a central thread connecting these disciplines. By the 1990s, Arthur identified human activity as the greatest threat to humanity, with climate change emerging as the foremost existential crisis.
“We developed the hypothesis of the non-linear acceleration of climate change in the 1990s, which later became an established climate theory by the 2000s,” Arthur explains. “Initially, climate change impacts doubled every 100 years. Now, that timeframe has shrunk to just two years. We face immense challenges, but recognizing the severity of our situation compels us to act. Effective crisis management isn’t just necessary — it’s essential for humanity’s survival.”
Our greatest hope lies in love and the humanities — where the arts and sciences unite.
The Science
Global warming is caused by an increase in thermal energy in the climate system. The Earth is a climate system. Many subsystems make up our climate. Chaos theory emphasizes the complexity and nonlinearity of dynamic systems, and this complexity is inherent in the interactions between soil, atmosphere, and oceans in the Earth’s climate system.
Atmospheric circulation together with ocean circulation is how thermal energy is redistributed throughout the world. Chaos theory offers insights into the complex, nonlinear dynamics of climate systems role in the redistribution of thermal energy. The Earth’s climate is a highly complex and dynamic system, influenced by various factors such as ocean currents, atmospheric circulation, and feedback loops.
General Circulation Models for the earth climate are nonlinear and teleconnected. That means a small change in temperature or pressure or humidity in one small area on the globe can cause _large_ changes in conditions _anywhere_ on the globe. This is sometimes called the Butterfly effect. The complexity of these models can lead to chaotic behavior. Climate science must grapple with these models and extract results in spite of the mathematical difficulties, and there have been remarkable successes in some cases and sad failures in others. Nevertheless we must proceed.
Unintended Consequences and Inexplicable Consumer Behavior
Climate change is primarily driven by the escalation of thermal energy affecting biogeophysical and socio-economic systems. While biogeophysical factors can be studied using math, physics, and historical records, socio-economic systems pose greater challenges due to the unpredictable consequences of human behavior and inexplicable consumer choices, exacerbating tipping points and feedback loops.
Complex Feedback Loops:
Complex feedback loops in climate science refer to interactions between different components of the Earth’s climate system that can amplify or dampen the effects of initial changes, leading to non-linear and often unpredictable outcomes. These feedback loops play a crucial role in shaping the behavior of the climate system and can influence various climate phenomena, including temperature changes, ice melt, and precipitation patterns.
Tipping points are Critical Milestones that directly impact the rate of acceleration in climate change by multiplying the number and intensity of feedback loops. Identifying and understanding these tipping points is crucial for climate science and policymaking. Crossing multiple tipping points has led to a domino effect, resulting in a much more rapid and severe climate change than currently projected.
* Our climate model employs chaos theory to comprehensively consider human impacts and projects a potential global average temperature increase of 9°C above pre-industrial levels.
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