Using the Radiative Kernel Technique to Calculate Climate Feedbacks in NCAR's Community Atmospheric Model

By K. M. Shell, J. Kiehl, C. Shields. 2008

362 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/14242917034aac4026918741bb2a90317e595016

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Citations in the corpus

Surface and top-of-atmosphere radiative feedback kernels for CESM-CAM5 (2017, background): “The tropopause is defined as 100 hPa at the equator and 300 hPa at the poles and varies by cosine of latitude in between, following Soden and Held (2006). The resulting estimate approximates the radiative forcing following the definition of Myhre et al.”
Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model (2020, methodology): “Individual feedbacks are calculated by the radiative kernel method (Bony et al., 2006; Soden et al., 2008; Shell et al., 2008).”
The Evolution of Climate Sensitivity and Climate Feedbacks in the Community Atmosphere Model (2012, methodology): “CAM4 is essentially the same as NCAR CAM3 (Collins et al. 2004, 2006) with modiﬁcations to the deep convective closure and momentum transport described by Neale et al. (2008).”
Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5 (2012, methodology): “As pointed out in Zhang et al. (1994) and Soden et al. (2004, 2008), anomalies in CRE include contributions from changes in noncloud variables in such a way as to negatively bias the derived cloud feedback.”
Evaluating Emergent Constraints on Equilibrium Climate Sensitivity (2018, methodology): “…F and net feedback values l using the equilibrated top-of-atmosphere (TOA) response to a radiative forcing perturbation: Cloud feedbacks in the tables used for CMIP3 and CMIP5 models were computed using the adjusted cloud radiative forcing technique (Soden et al. 2004, 2008; Shell et al. 2008).”
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…”
Causes of Higher Climate Sensitivity in CMIP6 Models (2020, methodology): “The cloud feedback is computed by adjusting the cloud radiative effect (CRE; clear- minus all-sky upwelling TOA flux) feedback for noncloud influences (Soden et al., 2008; Shell et al., 2008).”
Time-Varying Climate Sensitivity from Regional Feedbacks (2012, methodology): “Moreover, while the local feedbacks have been calculated using radiative kernels constructed at each vertical atmospheric level and for each month (e.g., Soden and Held 2006; Shell et al. 2008), Eq.”
On the interpretation of inter-model spread in CMIP5 climate sensitivity estimates (2013, methodology): “See188 Soden et al (2008) and Shell et al (2008) for more details on the kernel technique.189 ∆x is the climate response of each variable, computed by difference between the 30-year model predicted climate190 in sstClim4xCO2 and the 30-year climate of the sstClim simulation (refer to section 2.2…”