A modeling protocol (defined by a series of climate model simulations with specified model output) is introduced. Studies using these simulations are designed to improve the understanding of climate impacts using a strategy for climate intervention (CI) known as marine cloud brightening (MCB) in specific regions; therefore, the protocol is called MCB-REG (where REG stands for region). The model simulations are not intended to assess consequences of a realistic MCB deployment intended to achieve specific climate targets but instead to expose responses to interventions in six regions with pervasive cloud systems that are often considered candidates for such a deployment. A calibration step involving simulations with fixed sea surface temperatures (SSTs) is first used to identify a common forcing, and then coupled simulations with forcing in individual regions and combinations of regions are used to examine climate impacts. Synthetic estimates constructed by superposing responses from simulations with forcing in individual regions are considered a means of approximating the climate impacts produced when MCB interventions are introduced in multiple regions.A few results comparing simulations from three modern climate models (CESM2, E3SMv2, and UKESM1) are used to illustrate the similarities and differences between model behavior and the utility of estimates of MCB climate responses that were synthesized by summing responses introduced in individual regions. Cloud responses to aerosol injections differ substantially between models (CESM2 clouds appear much more susceptible to aerosol emissions than the other models), but patterns in precipitation and surface temperature responses were similar when forcing is imposed with similar amplitudes in the same regions. A previously identified La Ni & ntilde;a-like response to forcing introduced in the Southeast Pacific is evident in this study, but the amplitude of the response was shown to markedly differ across the three models. Other common response patterns were also found and are discussed. Forcing in the Southeast Atlantic consistently (across all three models) produces weaker global cooling than that in other regions, and the Southeast Pacific and South Pacific show the strongest cooling. This indicates that the efficiency of a given intervention depends on not only the susceptibility of the clouds to aerosol perturbations, but also the strength of the underlying radiative feedbacks and ocean responses operating within each region. These responses were generally robust across models, but more studies and an examination of responses with ensembles would be beneficial.
机构:
Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
NOAA, Chem Sci Lab, Boulder, CO 80303 USAUniv Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
Chen, Yao-Sheng
Yamaguchi, Takanobu
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Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
NOAA, Chem Sci Lab, Boulder, CO 80303 USAUniv Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
Yamaguchi, Takanobu
Bogenschutz, Peter A.
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Lawrence Livermore Natl Lab, Livermore, CA 94550 USAUniv Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
Bogenschutz, Peter A.
Feingold, Graham
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NOAA, Chem Sci Lab, Boulder, CO 80303 USAUniv Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
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Univ Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Cheaib, Alissar
Badeau, Vincent
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INRA, UMR Ecol & Ecophysiol Forestieres 1137, F-54280 Champenoux, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Badeau, Vincent
Boe, Julien
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CERFACS CNRS, Sci Univers CERFACS, URA 1875, F-31057 Toulouse 01, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Boe, Julien
Chuine, Isabelle
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CNRS, Ctr Ecol Fonct & Evolut, Equipe BIOFLUX, F-34293 Montpellier, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Chuine, Isabelle
Delire, Christine
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URA 1357 CNRS Meteo France, GAME CNRM, F-31057 Toulouse, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Delire, Christine
Dufrene, Eric
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Univ Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Dufrene, Eric
Francois, Christophe
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Univ Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Francois, Christophe
Gritti, Emmanuel S.
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CNRS, Ctr Ecol Fonct & Evolut, Equipe BIOFLUX, F-34293 Montpellier, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Gritti, Emmanuel S.
Legay, Myriam
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INRA, UMR Ecol & Ecophysiol Forestieres 1137, F-54280 Champenoux, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Legay, Myriam
Page, Christian
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CERFACS CNRS, Sci Univers CERFACS, URA 1875, F-31057 Toulouse 01, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Page, Christian
Thuiller, Wilfried
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Univ Grenoble, Lab Ecol Alpine LECA, UMR CNRS 5553, F-38041 Grenoble 9, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Thuiller, Wilfried
Viovy, Nicolas
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LSCE, F-91191 Gif Sur Yvette, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France
Viovy, Nicolas
Leadley, Paul
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Univ Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, FranceUniv Paris 11, Lab Ecol Systemat & Evolut ESE, UMR CNRS 8079, AgroParisTech, F-91405 Orsay, France