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A new method of comparing forcing agents in climate models

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A new method of comparing forcing agents in climate models. / Kravitz, Ben; MacMartin, Douglas G.; Rasch, Philip J. et al.
In: Journal of Climate, Vol. 2015, No. 10, 15.10.2015, p. 8203-8218.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Kravitz, B, MacMartin, DG, Rasch, PJ & Jarvis, AJ 2015, 'A new method of comparing forcing agents in climate models', Journal of Climate, vol. 2015, no. 10, pp. 8203-8218. https://doi.org/10.1175/JCLI-D-14-00663.1

APA

Kravitz, B., MacMartin, D. G., Rasch, P. J., & Jarvis, A. J. (2015). A new method of comparing forcing agents in climate models. Journal of Climate, 2015(10), 8203-8218. https://doi.org/10.1175/JCLI-D-14-00663.1

Vancouver

Kravitz B, MacMartin DG, Rasch PJ, Jarvis AJ. A new method of comparing forcing agents in climate models. Journal of Climate. 2015 Oct 15;2015(10):8203-8218. Epub 2015 Oct 13. doi: 10.1175/JCLI-D-14-00663.1

Author

Kravitz, Ben ; MacMartin, Douglas G. ; Rasch, Philip J. et al. / A new method of comparing forcing agents in climate models. In: Journal of Climate. 2015 ; Vol. 2015, No. 10. pp. 8203-8218.

Bibtex

@article{d78b7d26d1c74dfa82b8d21379314190,
title = "A new method of comparing forcing agents in climate models",
abstract = "The authors describe a new method of comparing different climate forcing agents (e.g., CO2 concentration, CH4 concentration, and total solar irradiance) in climate models that circumvents many of the difficulties associated with explicit calculations of efficacy. This is achieved by introducing an explicit feedback loop external to a climate model that adjusts one forcing agent to balance another while keeping global-mean surface temperature constant. The convergence time of this feedback loop can be adjusted, allowing for comparisons of forcing agents to be achieved with relatively short simulations. Comparisons between forcing agents are highly linear in concordance with predicted scaling relationships; for example, the global-mean climate response to a doubling of the CO2 concentration is equivalent to that of a 2.1% change in total solar irradiance. This result is independent of the magnitude of the forcing agent (within the range of radiative forcings considered here) and is consistent across two different climate models.",
keywords = "Physical Meteorology and Climatology, Climate sensitivity, Feedback, Forcing, Radiative forcing, Models and modeling, Coupled models",
author = "Ben Kravitz and MacMartin, {Douglas G.} and Rasch, {Philip J.} and Jarvis, {Andrew James}",
year = "2015",
month = oct,
day = "15",
doi = "10.1175/JCLI-D-14-00663.1",
language = "English",
volume = "2015",
pages = "8203--8218",
journal = "Journal of Climate",
issn = "0894-8755",
publisher = "American Meteorological Society",
number = "10",

}

RIS

TY - JOUR

T1 - A new method of comparing forcing agents in climate models

AU - Kravitz, Ben

AU - MacMartin, Douglas G.

AU - Rasch, Philip J.

AU - Jarvis, Andrew James

PY - 2015/10/15

Y1 - 2015/10/15

N2 - The authors describe a new method of comparing different climate forcing agents (e.g., CO2 concentration, CH4 concentration, and total solar irradiance) in climate models that circumvents many of the difficulties associated with explicit calculations of efficacy. This is achieved by introducing an explicit feedback loop external to a climate model that adjusts one forcing agent to balance another while keeping global-mean surface temperature constant. The convergence time of this feedback loop can be adjusted, allowing for comparisons of forcing agents to be achieved with relatively short simulations. Comparisons between forcing agents are highly linear in concordance with predicted scaling relationships; for example, the global-mean climate response to a doubling of the CO2 concentration is equivalent to that of a 2.1% change in total solar irradiance. This result is independent of the magnitude of the forcing agent (within the range of radiative forcings considered here) and is consistent across two different climate models.

AB - The authors describe a new method of comparing different climate forcing agents (e.g., CO2 concentration, CH4 concentration, and total solar irradiance) in climate models that circumvents many of the difficulties associated with explicit calculations of efficacy. This is achieved by introducing an explicit feedback loop external to a climate model that adjusts one forcing agent to balance another while keeping global-mean surface temperature constant. The convergence time of this feedback loop can be adjusted, allowing for comparisons of forcing agents to be achieved with relatively short simulations. Comparisons between forcing agents are highly linear in concordance with predicted scaling relationships; for example, the global-mean climate response to a doubling of the CO2 concentration is equivalent to that of a 2.1% change in total solar irradiance. This result is independent of the magnitude of the forcing agent (within the range of radiative forcings considered here) and is consistent across two different climate models.

KW - Physical Meteorology and Climatology

KW - Climate sensitivity

KW - Feedback

KW - Forcing

KW - Radiative forcing

KW - Models and modeling

KW - Coupled models

U2 - 10.1175/JCLI-D-14-00663.1

DO - 10.1175/JCLI-D-14-00663.1

M3 - Journal article

VL - 2015

SP - 8203

EP - 8218

JO - Journal of Climate

JF - Journal of Climate

SN - 0894-8755

IS - 10

ER -