Climate Sensitivity of the Community Climate System Model, Version 4

By C. Bitz, K. M. Shell, Peter R. Gent, David A. Bailey, Gokhan Danabasoglu, K. Armour, Marika M. Holland, J. Kiehl. 2012

236 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/d806db43c53c54eb8c307af5235036b17a5080a5

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

1. C. Bitz
2. Rune Graversen
3. Andrew Gettelman
4. T. Mauritsen
5. K. Armour
6. Jennifer E. Kay
7. G. Roe
8. K. M. Shell

In Global and Planetary Change

1. Rune Graversen
2. Andrew Gettelman
3. T. Mauritsen
4. C. Bitz
5. Jennifer E. Kay
6. G. Roe
7. K. Armour
8. K. M. Shell

In Oceanography

1. C. Bitz
2. Sungsu Park
3. C. Shields
4. Matthew Huber
5. J. Kiehl
6. D. Battisti
7. G. Roe
8. Gokhan Danabasoglu

Citations in the corpus

• Time-Varying Climate Sensitivity from Regional Feedbacks (2012, methodology): “(2010); Bitz et al. (2012)). Note that in the limit of spatially uniform λ(r) (equal to λeq in all regions), term (i) approaches unity. Term (ii) in Eq. (15) can be interpreted as the contribution to ε arising from changes in the dynamical transport of energy between regions of different local feedb”
• The challenge of simulating the warmth of the mid-Miocene climatic optimum in CESM1 (2013, methodology): “The CAM4 is run at 1.9◦ × 2.5◦ horizontal resolution with 26 vertical levels and coupled to the Community Land Model (CLM4) (Lawrence et al., 2012), the Community Sea-Ice Model (CICE4) (Hunke and Lipscomb, 2008) and the slab-ocean model, described below (Bitz et al., 2012).”
• Polar Amplification in CCSM4: Contributions from the Lapse Rate and Surface Albedo Feedbacks (2014, methodology): “However, our number is more negative compared to a kernel method estimate of ;20.1Wm22K21 based on the same model version, CCSM4, as used here (Bitz et al. 2012).”
• The Low-Resolution CCSM4 (2012, methodology): “These forcing fields are then applied to a slab ocean model (SOM) formulation underneath fully active sea ice and atmosphere components (Bitz et al. 2012).”
• The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake (2014, background): “…of OHU in setting transient climate sensitivity.25 However, observations [Yu and Weller , 2007] and coupled general circulation model26 (GCM) simulations [Winton et al., 2010; Bitz et al., 2012] suggest that the geographic27 pattern of OHU is far from uniform or steady (see auxiliary material).”
• Assessing the Habitability of the TRAPPIST-1 System Using a 3D Climate Model (2017, background): “We assume the planet is completely ocean-covered, with zero ocean heat transport within a 50 m thermodynamic slab ocean (Bitz et al. 2012).”
• Habitable Moist Atmospheres on Terrestrial Planets near the Inner Edge of the Habitable Zone around M Dwarfs (2017, unknown): “We assume an aquaplanet (i.e., an entirely ocean-covered planet with no land), with a 50 m deep thermodynamic “slab” ocean (Bitz et al. 2012).”
• The Evolution of Climate Sensitivity and Climate Feedbacks in the Community Atmosphere Model (2012, methodology): “The CAM4-SOM run represents the released version of CAM4 in the Community Climate System Model version 4 (CCSM4), discussed by Bitz et al. (2012). CAM5-SOM uses the CAM5.”