https://academic.oup.com/oocc/advance-article/doi/10.1093/oxfclm/kgae007/7699797

*Authors*
Anni Määttänen, Thibaut Lameille, Carola Kloeck, Olivier Boucher, François
Ravetta

https://doi.org/10.1093/oxfclm/kgae007

*Published: 26 June 2024*

*Abstract*
Model projections performed to evaluate the efficacy and impacts of solar
geoengineering interventions, such as Stratospheric Aerosol Injection
(SAI), include multiple sources of uncertainty, namely scenario, model, and
natural variability uncertainty. It is well accepted that a quantitative
uncertainty assessment related to SAI modelling is required to provide
robust and policy-relevant information on SAI. This study investigates how
and to what extent articles using a climate modelling approach on SAI
quantify and communicate uncertainty sources.

*Methods*
We conducted a systematic literature review of a sample of 60 peer-reviewed
articles in order to (a) analyse whether uncertainties were addressed, and
if yes, which methods were used to characterize uncertainties, and (b)
study how the articles communicated assumptions and limits that contribute
to the estimation of confidence in the used models and the resulting
projections.

*Results*
We present statistics on the uncertainty quantification methods used in the
articles and we discuss the vocabulary employed for conveying these
uncertainties and model confidence. In the studied article sample, the
attention paid to uncertainty estimations in the SAI literature increased
with time, and overall, uncertainties were treated using a variety of
methods. Model confidence was not always explicitly communicated as the
models used are already tested in the literature and their strengths and
weaknesses are known to the community although this is often implicit.

*Conclusion*
Our results show that it is currently difficult to perform global,
quantitative assessments of uncertainty related to SAI research, in line
with recent review reports on solar geoengineering.

*Source: Oxford Open Climate Change*

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