Climate Sensitivity: Analysis of Feedback Mechanisms

By J. Hansen, Andrew A. Lacis, D. Rind, G. Russell, P. Stone, I. Fung, R. Ruedy, J. Lerner. 2013

395 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/e6037e8456825218eceecb6552fa2055b88a602c

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Citations in the corpus

Polar Amplification in CCSM4: Contributions from the Lapse Rate and Surface Albedo Feedbacks (2014, methodology): “Feedback parameters that are assumed to be unique for each feedback (Hansen et al. 1984) are estimated directly, as an alternative approach to the indirect offline methods, such as the more commonly used partial radiative perturbation (PRP) method (Wetherald and Manabe 1988) and the radiative…”
Earth's energy imbalance and implications (2011, background): “Appropriate measurements can quantify the major factors driving climate change, reveal how much additional global warming is already in the pipeline, and help deﬁne the reduction of climate forcing needed to stabilize climate.”
Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A-Train” satellite observations (2012, background): “Water vapor produces the most important positive feedback affecting climate change [e.g., Randall et al. 2007; Soden and Held, 2006; Hansen et al., 1984].”
Simulation of direct radiative forcing of aerosols and their effects on East Asian climate using an interactive AGCM-aerosol coupled system (2012, methodology): “Currently, the aerosol climate effects (especially the interactions among aerosols, radiation, and clouds) remain one of the largest uncertainties in model simulation and climate H. Zhang (&) Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, 46…”
The UVic earth system climate model: Model description, climatology, and applications to past, present and future climates (2001, methodology): “Most early simulations used atmospheric GCMs with either fixed SSTs or mixed layer ocean models at the lower boundary (Manabe and Broccoli, 1985; Hansen et al., 1984; Lautenschlager and Herterich, 1990; Kutzbach and Guetter, 1986; Crowley and Baum, 1997; Webb et al., 1997; Broccoli, 2000).”
Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth (2012, positive): “…for Space Studies (GISS) model for a controlled and doubled-CO2 climate into the 1D radiative convective equilibrium model of Lacis et al. (1981), Hansen et al. (1984) calculated that cloud feedback represents a significant positive feedback, made up of roughly equal contributions from decreased…”
Paleoclimate Implications for Human-Made Climate Change (2011, background): “( 1 W/m(2)) in the surface change (ice sheet area, vegetation distribution, shoreline movement) due to uncertainty in ice sheet sizes (Hansen et al. 1984; Hewitt and Mitchell 1997).”