ML4WX

Climate emulation

Exploring How Eruption Source Parameters Affect Volcanic Radiative Forcing Using Statistical Emulation

Lauren Marshall, Jill S. Johnson, Graham W. Mann, Lindsay A. Lee, Sandip S Dhomse, Leighton A. Regayre, Masaru Yoshioka, K. S. Carslaw, Anja Schmidt

Journal of Geophysical Research Atmospheres · · University of Cambridge (Aardvark)

PaperPDF

In one sentence. Statistical emulators trained on 30 GCM runs map eruption parameters to volcanic aerosol forcing, producing response surfaces for thousands of eruptions.

Abstract

Abstract The radiative forcing caused by a volcanic eruption is dependent on several eruption source parameters such as the mass of sulfur dioxide (SO 2 ) emitted, the eruption column height, and the eruption latitude. General circulation models with prognostic aerosol and chemistry schemes can be used to investigate how each parameter influences the volcanic forcing. However, the range of multidimensional parameter space that can be explored is restricted because such simulations are computationally expensive. Here we use statistical emulation to explore the radiative impact of eruptions over a wide covarying range of SO 2 emission magnitudes, injection heights, and eruption latitudes based on only 30 simulations. We use the emulators to build response surfaces to visualize and predict the sulfate aerosol e ‐folding decay time, the stratospheric aerosol optical depth, and net radiative forcing of thousands of different eruptions. We find that the volcanic stratospheric aerosol optical depth and net radiative forcing are primarily determined by the mass of SO 2 emitted, but eruption latitude is the most important parameter in determining the sulfate aerosol e ‐folding decay time. The response surfaces reveal joint effects of the eruption source parameters in influencing the net radiative forcing, such as a stronger influence of injection height for tropical eruptions than high‐latitude eruptions. We also demonstrate how the emulated response surfaces can be used to find all combinations of eruption source parameters that produce a particular volcanic response, often revealing multiple solutions.

Labels

Topic
Climate emulation
Type
New model or method
Method
Classical ML (trees, GP, linear, kernels)
Time scale
Climate projections / centennial
Domain
Global
Data
Other
Status
Research
Identifiers
DOI:10.1029/2018jd028675 OpenAlex:W2903710715
Added
2026-10-22

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