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Updated: Aug 9, 2025

Using Generative Art to Convey Past and Future Climate Transitions

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

Revisiting the Holocene global temperature conundrum.

Darrell S Kaufman¹, Ellie Broadman^2,3

¹School of Earth and Sustainability, Northern Arizona University, Flagstaff, AZ, USA. darrell.kaufman@nau.edu.

|February 15, 2023

Summary

This summary is machine-generated.

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Global temperature trends during the Holocene (the past 11,700 years) are debated. This review explores evidence suggesting a mild mid-Holocene thermal maximum, not a long-term cooling trend before industrialization.

Area of Science:

Paleoclimatology
Climate modeling
Earth science

Background:

Global temperature reconstructions for the Holocene show conflicting trends.
Understanding pre-industrial climate variability is crucial for contextualizing current warming.
Anthropogenic global warming's context depends on whether it followed cooling or warming.

Purpose of the Study:

To evaluate evidence for long-term global cooling versus warming trends before industrialization.
To assess climate models' ability to represent pre-industrial climate dynamics.
To understand climate sensitivity and feedbacks, including greenhouse gases.

Main Methods:

Reviewing proxy records for climate indicators and drivers.
Analyzing climate model simulations of Holocene climate.

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Synthesizing evidence to resolve contrasting temperature reconstructions.

Main Results:

Evidence supports a relatively mild millennial-scale global thermal maximum during the mid-Holocene.
Multimillennial cooling before industrialization requires unaccounted climate forcing and feedbacks.
Pre-industrial warming challenges some proxy-based climate reconstructions.

Conclusions:

The Holocene's thermal history remains a conundrum requiring further research.
Understanding past climate variability is key to assessing climate sensitivity and feedbacks.
More research is needed to resolve slow-moving climate variability and its drivers.