Twentieth century climate model response and climate sensitivity
By J. Kiehl. 2007
285 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/fa9cfa825ad4784bbf587567a45e469af5347d3b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- S. Dalsøren
- Bjorn Stevens
- G. Myhre
- Daniel Cooley
- Stephan R. Sain
- Stephen A. Klein
- D. Shindell
- Reto Knutti
In Global and Planetary Change
- Stephen A. Klein
- M. Zelinka
- Robert Pincus
- Bjorn Stevens
- D. Shindell
- Jochem Marotzke
- Xiaohong Liu
- Peter M. Caldwell
Citations in the corpus
- Causes of Higher Climate Sensitivity in CMIP6 Models (2020, background): “Do the former models achieve their results via un395 reasonably large negative aerosol forcings and/or substantial pattern effects (Kiehl, 2007; 396 Stevens et al., 2016)? It is worth noting that cloud feedbacks are enhanced in CMIP6 397 primarily over the Southern Ocean, a region of efficient ocean”
- The end of model democracy? (2010, background): “For example, models match the observed warming with different combinations of aerosol forcing and climate sensitivities (Kiehl 2007; Knutti 2008b), so the two appear to be negatively correlated even though there is no obvious causal relationship.”
- Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2 (2019, background): “The instrumental-record warming can be matched in a model using forcing, climate sensitivity, and ocean heat uptake (Kiehl, 2007), and in the case of MPI-ESM1.”
- Total aerosol effect: radiative forcing or radiative flux perturbation? (2009, background): “19 forcing (Kiehl, 2007; Forster et al., 2007; Haywood and Schulz, 2007).”
- Emergent Constraints for Cloud Feedbacks (2015, unknown): “And while they may help constrain other model responses, they do not offer the ability to appreciably narrow the range of climate sensitivity estimates beyond that of the models [18, 23, 24, 32].”
- CMIP5 historical simulations (1850–2012) with GISS ModelE2 (2014, methodology): “Previous generation (CMIP3) models simulated the twentieth-century warming despite a wide range of sensitivity [Kiehl, 2007].”
- Radiative forcing in the ACCMIP historical and future climate simulations (2013, methodology): “In an earlier generation of climate models (those used in the IPCC Third Assessment Report), there was a distinct correlation between the magnitude of negative aerosol forcing and climate sensitivity (Kiehl, 2007).”
- What caused Earths temperature variations during the last 800,000 years? Data-based evidences on radiative forcing and constraints on climate sensitivity (2009, background): “4 K for future climate change (Knutti et al., 2006; Kiehl, 2007; Randall et al., 2007; Knutti and Hegerl, 2008; Plattner et al., 2008), but some cases also include much higher values of up to 11 K (e.”
- Detecting change in UK extreme precipitation using results from the climateprediction.net BBC climate change experiment (2010, background): “2005; Sanderson and Piani 2007; Knight et al. 2007). It is well known that the variation in humidity and atmospheric circulation are critical in determining the occurrence of heavy precipitation. However, Wilson and Toumi (2005) suggest that precipitation efficiency must play a critical role in the ”