A new method for diagnosing radiative forcing and climate sensitivity
By J. Gregory, W. Ingram, M. A. Palmer, G. Jones, P. Stott, R. Thorpe, J. Lowe, T. Johns, K. Williams. 2004
949 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/1299d0ad8d0d74631c388eca843059345e2c6501
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Stephen A. Klein
- M. Zelinka
- M. Webb
- Sandrine Bony
- T. Andrews
- Piers M. Forster
- Bjorn Stevens
- J. Gregory
In Global and Planetary Change
- M. Webb
- M. Zelinka
- Stephen A. Klein
- T. Andrews
- Sandrine Bony
- Bjorn Stevens
- Piers M. Forster
- J. Gregory
Citations in the corpus
- EC-Earth V2.2: description and validation of a new seamless earth system prediction model (2012, methodology): “The climate sensitivity has been determined using the quasi-equilibruim method used by Winton (2006) and by a linear regression of top of the atmosphere flux against surface air temperature as shown by Gregory et al. (2004).”
- Tropospheric Adjustment Induces a Cloud Component in CO2 Forcing (2008, background): “Several analyses have been undertaken that use observed mean climate or climate change to constrain the climate sensitivity parameter of the real world (e.g., Gregory et al. 2002; Murphy et al. 2004; Forster and Gregory 2006; Forest et al. 2006; Hegerl et al. 2006).”
- Evaluation of CNRM Earth System Model, CNRM‐ESM2‐1: Role of Earth System Processes in Present‐Day and Future Climate (2019, methodology): “…or the Kernel (Vial et al., 2013) Approaches CNRM‐CM6‐1 CNRM‐ESM2‐1 Method Linear regression Gregory et al. (2004) Kernels Vial et al. (2013) Linear regression Gregory et al. (2004) Kernels Vial et al. (2013) Years 1–150 (full) 10–150 See text 1–150 (full) 10–150 See text Adjusted Forcing (W m−2)…”
- Coupling between the terrestrial carbon and water cycles—a review (2019, background): “Over the last century, anthropogenic emissions of carbon dioxide, which is the greenhouse gas (GHG) contributing themost to warming, havemodified the Earth’s climate and the coupled hydrologic cycle (Gregory et al2004, Bony et al2015,Knutti andRugenstein 2015, Armour 2016, 2017, Knutti et al 2017).”
- The Australian Earth System Model: ACCESS-ESM1.5 (2020, background): “Since reaching equilibrium can take a long time (i.e. several thousand years), Gregory et al. (2004) proposed estimating climate sensitivity from the correlation of temperature and energy balance changes, which does not require the model to be at equilibrium.”
- The Climate Sensitivity and Its Components Diagnosed from Earth Radiation Budget Data (2005, background): “Furthermore, it has also been suggested that subannual changes in temperature are often confined to the surface layer and that using such changes to diagnose climate feedback leads to an underestimate of the water vapor feedback (Hall and Manabe 1999 ).”
- The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake (2014, methodology): “We estimate λ(φ) and R(φ) for each model as the slope and intercept130 (respectively) of the local regression between TOA radiation and SST anomalies at each131 latitude under transient warming [Crook et al., 2011; Gregory et al., 2004].”
- Forcing and feedback in the MPI‐ESM‐LR coupled model under abruptly quadrupled CO2 (2013, methodology): “For these purposes, a combination of the radiative kernel technique [Shell et al., 2008; Soden et al., 2008] and the Gregory analysis [Gregory et al., 2004] permits us to separate fast adjustments from the individual surface temperature-dependent feedback mechanisms as the climate evolves toward a…”