Scenarios for modeling solar radiation modification.
climate engineering
climate intervention
scenarios
solar geoengineering
solar radiation modification
Journal
Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876
Informations de publication
Date de publication:
16 08 2022
16 08 2022
Historique:
entrez:
8
8
2022
pubmed:
9
8
2022
medline:
11
8
2022
Statut:
ppublish
Résumé
Making informed future decisions about solar radiation modification (SRM; also known as solar geoengineering)-approaches such as stratospheric aerosol injection (SAI) that would cool the climate by reflecting sunlight-requires projections of the climate response and associated human and ecosystem impacts. These projections, in turn, will rely on simulations with global climate models. As with climate-change projections, these simulations need to adequately span a range of possible futures, describing different choices, such as start date and temperature target, as well as risks, such as termination or interruptions. SRM modeling simulations to date typically consider only a single scenario, often with some unrealistic or arbitrarily chosen elements (such as starting deployment in 2020), and have often been chosen based on scientific rather than policy-relevant considerations (e.g., choosing quite substantial cooling specifically to achieve a bigger response). This limits the ability to compare risks both between SRM and non-SRM scenarios and between different SRM scenarios. To address this gap, we begin by outlining some general considerations on scenario design for SRM. We then describe a specific set of scenarios to capture a range of possible policy choices and uncertainties and present corresponding SAI simulations intended for broad community use.
Identifiants
pubmed: 35939702
doi: 10.1073/pnas.2202230119
pmc: PMC9388149
doi:
Substances chimiques
Aerosols
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2202230119Références
Geosci Model Dev. 2016;9(12):4521-4545
pubmed: 29697697
Nature. 2010 Feb 11;463(7282):747-56
pubmed: 20148028
Nat Commun. 2020 Jan 13;11(1):227
pubmed: 31932612
Nature. 2016 Jun 29;534(7609):631-9
pubmed: 27357792
Proc Natl Acad Sci U S A. 2019 Jun 4;116(23):11195-11200
pubmed: 31110015
Stud Hist Philos Sci. 2021 Apr;86:103-113
pubmed: 33965659
Science. 2008 May 30;320(5880):1201-4
pubmed: 18436741
Philos Trans A Math Phys Eng Sci. 2014 Dec 28;372(2031):
pubmed: 25404687
Proc Natl Acad Sci U S A. 2016 Dec 27;113(52):14910-14914
pubmed: 27956628
Nat Ecol Evol. 2018 Mar;2(3):475-482
pubmed: 29358608
Rev Geophys. 2020 Dec;58(4):e2019RG000678
pubmed: 33015673
Proc Natl Acad Sci U S A. 2022 Aug 16;119(33):e2202230119
pubmed: 35939702
Philos Trans A Math Phys Eng Sci. 2018 May 13;376(2119):
pubmed: 29610384
Sci Rep. 2017 Nov 7;7(1):14743
pubmed: 29116149
Proc Natl Acad Sci U S A. 2021 Aug 24;118(34):
pubmed: 34400500