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AI generated list of negative feedbacks in the real world

GregLocock

Automotive
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None of these are accounted for in the models h/t Willie Eschenbach who painstakingly walked an AI through the options. This list may not be accurate but does at least need to be evaluated if modellers are pursuing Gold Standard Science. I've only included the names, the entire article is too long to post https://wattsupwiththat.com/2025/06/21/the-emergence-of-emergence/

Comprehensive Synopsis of Emergent Thermoregulatory Weather Phenomena

Thunderstorms

Cirrus Cloud Fields

Rayleigh-Bénard Overturning

Cyclones

El Niño-Southern Oscillation (ENSO)

Tornadoes

Dust Devils

Cumulus Convection

Madden-Julian Oscillation (MJO)

Monsoon Circulation

Sea Breeze Circulation

Stratocumulus Cloud Decks

Reflective Tropical Cloud Shields

Intertropical Convergence Zone (ITCZ)

Mesoscale Convective Systems (MCSs)

Hadley Cell Expansion

Polar Vortex Dynamics

Cumulus-to-Cumulonimbus Transition

Tropical Sky Clearing

Atmospheric Blocking

Open/Closed-Cell Stratocumulus

Synoptic-Scale Air Advection

Heat Bursts

Haboobs

Chinook/Foehn Winds

Quasi-Resonant Amplification (QRA)

Tropical Easterly Waves

Atmospheric Rivers

Derechos

Virga

Cold-Air Pool Formation

Bow Echoes

Gust Fronts

Fair-Weather Gale (California)

Diablo Winds

Oceanic Bénard Cells

Synthesis of Thermoregulatory Networks


Earth’s climate stability arises from interconnected emergent phenomena operating across scales. Each process exhibits nonlinear threshold behavior, where small forcings trigger disproportional responses that redistribute heat. This network—from microscale dust devils to planetary-scale ENSO—forms a self-regulating system where local interactions constrain global temperature extremes through complementary cooling/warming feedbacks. The diversity of mechanisms (radiative, convective, advective) ensures resilience, as the suppression of one process activates compensatory phenomena elsewhere in the system.
 

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