Reduced complexity model intercomparison project phase 2: synthesizing earth system knowledge for probabilistic climate projections
Author
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Nicholls, Z.
Author
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Meinshausen, M.
Author
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Lewis, J.
Author
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Rojas Corradi, María Heloísa Juana
Author
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Dorheim, K.
Author
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Gasser, T.
Author
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Gieseke, R.
Author
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Hope, A. P.
Author
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Leach, N. J.
Author
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McBride, L. A.
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Quilcaille, Y.
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Rogelj, J.
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Salawitch, R. J.
Author
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Samset, B. H.
Author
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Sandstad, M.
Author
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Shiklomanov, A.
Author
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Skeie, R. B.
Author
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Smith, C. J.
Author
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Smith, S. J.
Author
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Su, X.
Author
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Tsutsui, J.
Author
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Vega Westhoff, B.
Author
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Woodard, D. L.
Admission date
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2022-03-31T19:55:07Z
Available date
dc.date.available
2022-03-31T19:55:07Z
Publication date
dc.date.issued
2021
Cita de ítem
dc.identifier.citation
Earths Future (2021) 9:6 Número Artículo e2020EF001900
es_ES
Identifier
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10.1029/2020EF001900
Identifier
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https://repositorio.uchile.cl/handle/2250/184639
Abstract
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Over the last decades, climate science has evolved rapidly across multiple expert domains.
Our best tools to capture state-of-the-art knowledge in an internally self-consistent modeling framework
are the increasingly complex fully coupled Earth System Models (ESMs). However, computational
limitations and the structural rigidity of ESMs mean that the full range of uncertainties across multiple
domains are difficult to capture with ESMs alone. The tools of choice are instead more computationally
efficient reduced complexity models (RCMs), which are structurally flexible and can span the response
dynamics across a range of domain-specific models and ESM experiments. Here we present Phase 2
of the Reduced Complexity Model Intercomparison Project (RCMIP Phase 2), the first comprehensive
intercomparison of RCMs that are probabilistically calibrated with key benchmark ranges from specialized
research communities. Unsurprisingly, but crucially, we find that models which have been constrained to
reflect the key benchmarks better reflect the key benchmarks. Under the low-emissions SSP1-1.9 scenario,
across the RCMs, median peak warming projections range from 1.3 to 1.7°C (relative to 1850–1900, using
an observationally based historical warming estimate of 0.8°C between 1850–1900 and 1995–2014).
Further developing methodologies to constrain these projection uncertainties seems paramount given the
international community's goal to contain warming to below 1.5°C above preindustrial in the long-term.
Our findings suggest that users of RCMs should carefully evaluate their RCM, specifically its skill against
key benchmarks and consider the need to include projections benchmarks either from ESM results or
other assessments to reduce divergence in future projections.
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Patrocinador
dc.description.sponsorship
ARC Centre of Excellence for Climate Extremes CE170100023
United States Department of Energy (DOE)
Aparece en contenido como:U.S. Department of Energy, Office of Science, research in MultiSector Dynamics, Earth and Environmental System Modeling Program
NERC/IIASA Collaborative Research Fellowship NE/T009381/1
Integrated Research Program for Advancing Climate Models (TOUGOU), Grant from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan JPMXD0717935457
U.S. National Aeronautics and Space Administration Climate Indicators and Data Products for Future National Climate Assessments program NX16AG34G
European Union's Horizon 2020 research and innovation programme 820829
es_ES
Lenguage
dc.language.iso
en
es_ES
Publisher
dc.publisher
Amer Geophysical Union
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Type of license
dc.rights
Attribution-NonCommercial-NoDerivs 3.0 United States