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Stabilizing global mean surface temperature: a feedback control perspective

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Stabilizing global mean surface temperature: a feedback control perspective. / Jarvis, Andrew; Leedal, David; Taylor, James et al.
In: Environmental Modelling and Software, Vol. 24, No. 5, 05.2009, p. 665-674.

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

Harvard

Jarvis, A, Leedal, D, Taylor, J & Young, P 2009, 'Stabilizing global mean surface temperature: a feedback control perspective', Environmental Modelling and Software, vol. 24, no. 5, pp. 665-674. https://doi.org/10.1016/j.envsoft.2008.10.016

APA

Jarvis, A., Leedal, D., Taylor, J., & Young, P. (2009). Stabilizing global mean surface temperature: a feedback control perspective. Environmental Modelling and Software, 24(5), 665-674. https://doi.org/10.1016/j.envsoft.2008.10.016

Vancouver

Jarvis A, Leedal D, Taylor J, Young P. Stabilizing global mean surface temperature: a feedback control perspective. Environmental Modelling and Software. 2009 May;24(5):665-674. doi: 10.1016/j.envsoft.2008.10.016

Author

Jarvis, Andrew ; Leedal, David ; Taylor, James et al. / Stabilizing global mean surface temperature: a feedback control perspective. In: Environmental Modelling and Software. 2009 ; Vol. 24, No. 5. pp. 665-674.

Bibtex

@article{962f66b0eb0849bbb50c18d909c5fcec,
title = "Stabilizing global mean surface temperature: a feedback control perspective",
abstract = "In this paper, we develop a discrete time, state variable feedback control regime to analyze the closed-loop properties associated with stabilizing the global mean surface temperature anomaly at 2C within a sequential decision making framework made up of 20 year review periods beginning in 2020. The design of the feedback control uses an optimal control approach that minimizes the peak deceleration of anthropogenic CO2 emissions whilst avoiding overshooting the 2C target. The peak value for emissions deceleration that satisfies the closed-loop optimization was found to be linearly related to climate sensitivity and a climate sensitivity of 3.5C gave a deceleration of -1.9 GtC/a/20 years2. In addition to accounting for the predicted climate dynamics, the control system design includes a facility to emulate a robust corrective action in the face of uncertainty. The behavior of the overall control action is evaluated using an uncertainty scenario for climate model equilibrium sensitivity.",
keywords = "Feedback control, climate sensitivity, surface temperature, stabilization, eigenvalues",
author = "Andrew Jarvis and David Leedal and James Taylor and Peter Young",
year = "2009",
month = may,
doi = "10.1016/j.envsoft.2008.10.016",
language = "English",
volume = "24",
pages = "665--674",
journal = "Environmental Modelling and Software",
issn = "1364-8152",
publisher = "Elsevier BV",
number = "5",

}

RIS

TY - JOUR

T1 - Stabilizing global mean surface temperature: a feedback control perspective

AU - Jarvis, Andrew

AU - Leedal, David

AU - Taylor, James

AU - Young, Peter

PY - 2009/5

Y1 - 2009/5

N2 - In this paper, we develop a discrete time, state variable feedback control regime to analyze the closed-loop properties associated with stabilizing the global mean surface temperature anomaly at 2C within a sequential decision making framework made up of 20 year review periods beginning in 2020. The design of the feedback control uses an optimal control approach that minimizes the peak deceleration of anthropogenic CO2 emissions whilst avoiding overshooting the 2C target. The peak value for emissions deceleration that satisfies the closed-loop optimization was found to be linearly related to climate sensitivity and a climate sensitivity of 3.5C gave a deceleration of -1.9 GtC/a/20 years2. In addition to accounting for the predicted climate dynamics, the control system design includes a facility to emulate a robust corrective action in the face of uncertainty. The behavior of the overall control action is evaluated using an uncertainty scenario for climate model equilibrium sensitivity.

AB - In this paper, we develop a discrete time, state variable feedback control regime to analyze the closed-loop properties associated with stabilizing the global mean surface temperature anomaly at 2C within a sequential decision making framework made up of 20 year review periods beginning in 2020. The design of the feedback control uses an optimal control approach that minimizes the peak deceleration of anthropogenic CO2 emissions whilst avoiding overshooting the 2C target. The peak value for emissions deceleration that satisfies the closed-loop optimization was found to be linearly related to climate sensitivity and a climate sensitivity of 3.5C gave a deceleration of -1.9 GtC/a/20 years2. In addition to accounting for the predicted climate dynamics, the control system design includes a facility to emulate a robust corrective action in the face of uncertainty. The behavior of the overall control action is evaluated using an uncertainty scenario for climate model equilibrium sensitivity.

KW - Feedback control

KW - climate sensitivity

KW - surface temperature

KW - stabilization

KW - eigenvalues

UR - http://www.scopus.com/inward/record.url?scp=58549094900&partnerID=8YFLogxK

U2 - 10.1016/j.envsoft.2008.10.016

DO - 10.1016/j.envsoft.2008.10.016

M3 - Journal article

VL - 24

SP - 665

EP - 674

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

SN - 1364-8152

IS - 5

ER -