GeoMIP-Pattern - a pattern scaling dataset for efficient generation of custom geoengineering scenarios

Area of Science:

• Climate Science
• Geoengineering Research
• Data Science

Background:

• Solar radiation modification is a key area of climate change research.
• Existing methods for simulating geoengineering scenarios can be data-intensive.
• The Geoengineering Model Intercomparison Project (GeoMIP) provides crucial model outputs.

Purpose of the Study:

• To present the first global dataset for geoengineering pattern scaling, named GeoMIP-pattern.
• To facilitate the creation of custom solar radiation modification scenarios.
• To enable efficient emulation of GeoMIP model outputs with reduced data requirements.

Main Methods:

• A two-step approach was used to derive temperature, precipitation, and relative humidity patterns.
• Linear regression was applied between climate fields and global mean surface temperature from ScenarioMIP SSP5-8.5.
• Further regression against temperature differences between GeoMIP G6sulfur and SSP5-8.5 experiments was performed.

Main Results:

• The GeoMIP-pattern dataset allows for the generation of no stratospheric aerosol injection scenarios.
• It enables emulation of stratospheric aerosol injection scenarios by combining derived patterns.
• Validation statistics, including novel unit root tests, confirm the accuracy of the pattern scaling.

Conclusions:

• GeoMIP-pattern provides a valuable tool for researchers studying solar geoengineering.
• The dataset simplifies the process of emulating complex climate model responses to geoengineering.
• The methodology ensures robust and reliable pattern scaling for climate simulations.