Time-Varying Climate Sensitivity from Regional Feedbacks
By K. Armour, C. Bitz, G. Roe. 2012
361 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/ab808872b2130ef31d413d22af43d68a82c093c9
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Citations in the corpus
- The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6. (2016, background): “, 2015b), (d) the inconstancy of cloud feedbacks and effective climate sensitivity (e.g. Senior and Mitchell, 2000; Williams et al., 2008; Andrews et al., 2012; Geoffroy et al., 2013; Armour et al., 2013; Gregory and Andrews, 2016) and (e) the extent to which models with stronger or weaker cloud fee”
- The Dependence of Global Cloud and Lapse Rate Feedbacks on the Spatial Structure of Tropical Pacific Warming (2018, background): “For example, changes in the warming pattern at high latitudes (e.g., Armour et al. 2013; Rose et al. 2014; Kang and Xie 2014) and in the Southern Ocean (e.g., Senior and Mitchell 2000) have also been shown to change feedback strengths.”
- Recommendations for diagnosing effective radiative forcing from climate models for CMIP6 (2016, background): “Forcing driver efficacy [Marvel et al., 2015; Shindell, 2014], shifting spatial patterns of response [Armour et al., 2012; Rose et al., 2014] and temporal evolution of feedback [Andrews et al., 2015; Gregory and Andrews, 2016] have all been mooted as a possible cause of differences between ECS…”
- Evaluating Emergent Constraints on Equilibrium Climate Sensitivity (2018, background): “Each link in our chain of logic is imperfect, but subtropical stratocumulus are known to be a key factors for climate sensitivity (Bony and Dufresne 2005) so we consider this potential constraint worth testing.”
- Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5 (2012, background): “Armour et al. (2013) make a compelling case that the apparent time dependence of feedbacks can be explained by the actuation of time-invariant locally defined feedbacks by surface warming patterns that evolve on several time scales.”
- Robust increase in equilibrium climate sensitivity under global warming (2013, background): “Because the local feedback at higher latitudes is typically less negative than the global feedback, or even positive, this could explain the time-varying slope [Armour et al., 2013].”
- The Dependence of Radiative Forcing and Feedback on Evolving Patterns of Surface Temperature Change in Climate Models (2015, neutral): “We presume Armour et al. (2013) did not observe the time variation in the SW cloud feedback parameter either because of limitations imposed by their fixed local feedback framework (see section 3; Rose et al. 2014) or because they did not separate cloud adjustments from cloud feedbacks in their…”
- Analyzing the dependence of global cloud feedback on the spatial pattern of sea surface temperature change with a Green's function approach (2017, background): “Moreover, this suggests that locally defined feedbacks—although helpful for certain purposes [Armour et al., 2013; Feldl and Roe, 2013; Roe et al., 2015]—are potentially misleading from a physical standpoint as they alias in nonlocal influences and are hence unlikely to be time invariant [Rose et…”
- Impact of the Atlantic meridional overturning circulation on ocean heat storage and transient climate change (2014, background): “Moreover, the climate feedbacks, which set the SST damping rate λo, are sensitive to the pattern of ocean heat uptake, and thus a different set of feedbacks are in operation at various stages of the climate response to forcing [Winton et al., 2010; Armour et al., 2013].”