https://onlinelibrary.wiley.com/doi/10.1002/env.70030

*Authors*
Robert C. Garrett, Lyndsay Shand, Gabriel Huerta

First published: *12 August 2025*

https://doi.org/10.1002/env.70030

*Abstract*
The June 1991 Mt. Pinatubo eruption resulted in a massive increase of
sulfate aerosols in the atmosphere, absorbing radiation and leading to
global changes in surface and stratospheric temperatures. A volcanic
eruption of this magnitude serves as a natural analog for stratospheric
aerosol injection, a proposed solar radiation modification method to combat
a warming climate. The impacts of such an event are multifaceted and
region-specific. Our goal is to characterize the multivariate and dynamic
nature of the atmospheric impacts following the Mt. Pinatubo eruption. We
developed a multivariate space-time dynamic linear model to understand the
full extent of the spatially- and temporally-varying impacts. Specifically,
spatial variation is modeled using a flexible set of basis functions for
which the basis coefficients are allowed to vary in time through a vector
autoregressive (VAR) structure. This novel model is cast in a Dynamic
Linear Model (DLM) framework and estimated via a customized MCMC approach.
We demonstrate how the model quantifies the relationships between key
atmospheric parameters prior to and following the Mt. Pinatubo eruption
with reanalysis data from MERRA-2 and highlight when such a model is
advantageous over univariate models.

*Source: Wiley Online Library*

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