How Well Do We Understand and Evaluate Climate Change Feedback Processes?

How Well Do We Understand and Evaluate Climate Change Feedback Processes?

1 AUGUST 2006 | SANDRINE BONY, ROBERT COLMAN, VLADIMIR M. KATTSOV, RICHARD P. ALLAN, CHRISTOPHER S. BRETHERTON, JEAN-LOUIS DUFRESNE, ALEX HALL, STEPHANE HALLEGATTE, MARIKA M. HOLLAND, WILLIAM INGRAM, DAVID A. RANDALL, BRIAN J. SODEN, GEORGE TSELILOUDIS, AND MARK J. WEBB
This review article discusses the understanding and evaluation of climate change feedback processes. Climate feedbacks are processes that amplify or dampen the climate response to external perturbations. The paper highlights progress since the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) in understanding the physical mechanisms of feedbacks, interpreting intermodel differences in global estimates, and developing methods to evaluate feedbacks using observations. It emphasizes the importance of climate feedbacks in determining climate sensitivity, which is the global mean surface air temperature change in response to a doubling of atmospheric CO₂ concentration. The article reviews recent studies on radiative feedbacks associated with water vapor, lapse rate, clouds, snow, and sea ice. It notes that water vapor feedback is the strongest, followed by lapse rate, cloud, and surface albedo feedbacks. These feedbacks significantly influence climate sensitivity, with water vapor feedback amplifying the temperature response by a factor of 2 or more, while cloud feedback varies widely among models. The paper also discusses the challenges in evaluating climate feedbacks, including the complexity of the climate system, the difficulty in isolating feedback processes from observational data, and the limitations of current models in capturing the interactions between clouds, water vapor, and temperature. It highlights the importance of understanding cloud feedbacks, which are the largest source of uncertainty in climate change predictions. The article reviews recent advances in understanding cloud feedbacks, including the role of large-scale atmospheric circulation, the impact of temperature changes on cloud properties, and the influence of dynamical and thermodynamic factors on cloud radiative forcing. The paper concludes that while there has been progress in understanding climate feedback processes, significant challenges remain in accurately evaluating these feedbacks and reducing uncertainties in climate sensitivity estimates. The article emphasizes the need for continued research and the development of better methods to assess climate feedbacks using observations and models.This review article discusses the understanding and evaluation of climate change feedback processes. Climate feedbacks are processes that amplify or dampen the climate response to external perturbations. The paper highlights progress since the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) in understanding the physical mechanisms of feedbacks, interpreting intermodel differences in global estimates, and developing methods to evaluate feedbacks using observations. It emphasizes the importance of climate feedbacks in determining climate sensitivity, which is the global mean surface air temperature change in response to a doubling of atmospheric CO₂ concentration. The article reviews recent studies on radiative feedbacks associated with water vapor, lapse rate, clouds, snow, and sea ice. It notes that water vapor feedback is the strongest, followed by lapse rate, cloud, and surface albedo feedbacks. These feedbacks significantly influence climate sensitivity, with water vapor feedback amplifying the temperature response by a factor of 2 or more, while cloud feedback varies widely among models. The paper also discusses the challenges in evaluating climate feedbacks, including the complexity of the climate system, the difficulty in isolating feedback processes from observational data, and the limitations of current models in capturing the interactions between clouds, water vapor, and temperature. It highlights the importance of understanding cloud feedbacks, which are the largest source of uncertainty in climate change predictions. The article reviews recent advances in understanding cloud feedbacks, including the role of large-scale atmospheric circulation, the impact of temperature changes on cloud properties, and the influence of dynamical and thermodynamic factors on cloud radiative forcing. The paper concludes that while there has been progress in understanding climate feedback processes, significant challenges remain in accurately evaluating these feedbacks and reducing uncertainties in climate sensitivity estimates. The article emphasizes the need for continued research and the development of better methods to assess climate feedbacks using observations and models.
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[slides and audio] How Well Do We Understand and Evaluate Climate Change Feedback Processes