https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.7391

Impact of Solar Geoengineering on Temperatures over the Indonesian Maritime
Continent

Heri Kuswanto, Ben Kravitz, Brina Miftahurrohmah, Fatkhurokhman Fauzi,
Ardhasena Sopahaluwaken, John Moore

Abstract

Climate change has been projected to increase the intensity and magnitude
of extreme temperature in Indonesia. Solar radiation management (SRM) has
been proposed as a strategy to temporarily combat global warming, buying
time for negative emissions. Though the global impacts of SRM have been
extensively studied in recent years, regional impacts, especially in the
tropics, have received much less attention. This paper investigates the
potential stratospheric sulfate aerosol injection (SAI) to modify mean and
extreme temperature, as well as the relative humidity and wet bulb
temperature (WBT) change over Indonesian Maritime Continent (IMC) based on
simulations from three different earth system models. We applied a simple
downscaling method and corrected the bias of model output to reproduce
historical temperatures and relative humidity over IMC. We evaluated
changes in Geoengineering Model Intercomparison Project (GeoMIP) experiment
G4, an SAI experiment in 5 Tg of SO2 into the equatorial lower stratosphere
between 2020 and 2069, concurrent with the RCP4.5 emissions scenario. G4 is
able to significantly reduce the temperature means and extremes, and
although differences in magnitude of response and spatial pattern occur,
there is a generally consistent response. The spatial response of changes
forced by RCP4.5 scenario and G4 are notably heterogeneous in the
archipelago, highlighting uncertainties that would be critical in assessing
socio-economic consequences of both doing, and not doing G4. In general,
SAI has bigger impacts in reducing temperatures over land than oceans, and
the southern monsoon region shows more variability. G4 is also effective at
reducing the likelihood of WBT > 27OC events compared to RCP4.5 after some
years of SAI deployment as well as during the post-termination period of
SAI. Regional downscaling may be an effective tool in obtaining
policy-relevant information about local effects of different future
scenarios involving SAI.

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