Fixed anvil temperature hypothesis
Fixed anvil temperature hypothesis new article content ...
Background and hypothesis
In the tropics, the radiative cooling of the troposphere is balanced by the release of latent heat through condensation of water vapour lofted to high altitudes by convection. The radiative cooling is mostly a consequence of emissions by water vapour and thus becomes ineffective above the 200 hPa pressure level. Congruently, it is at this elevation that thick clouds and anvil clouds - the topmost convective clouds - concentrate.[1]
The "fixed anvil temperature hypothesis" stipulates that owing to energetic and thermodynamic constraints imposed by the Clausius-Clapeyron relationship, the temperature and thus radiative cooling of anvil clouds does not change much with surface temperature.[1] Specifically, cooling decreases below −73 °C (200 K) as the ineffective radiative cooling by CO
2 becomes dominant below that temperature.[2] Instead, the elevation of high clouds rises with surface temperatures.[3]
Evidence
Models
The fixed anvil temperature hypothesis was initially formulated by Hartmann and Larson 2002 in the context of the NCAR/PSU MM5 climate model[4] but the stability of top cloud temperatures was already observed in an one-dimensional model by Hansen et al. 1981.[5] It has also been recovered in the CAM4, CAM5 and CAM6 models.[6]
At very high CO
2 concentrations approaching a runaway greenhouse however, other physical effects pertaining to cloud opacity may take over and dominate the fixed anvil temperature as surface temperatures reach extreme levels.[7]
Observations
Implications
The fixed anvil temperature hypothesis has effects on global climate sensitivity, since anvil clouds are the most important source of outgoing radiation linked to tropical convection[8] and their temperature being stable would render the outgoing radiation non-responsive to surface temperature changes.[9] This creates a positive feedback component of cloud feedback.[10]
References
- ^ a b Hartmann & Larson 2002, p. 1.
- ^ Hartmann & Larson 2002, p. 3.
- ^ Albern, Nicole; Voigt, Aiko; Pinto, Joaquim G. (2019). "Cloud-Radiative Impact on the Regional Responses of the Midlatitude Jet Streams and Storm Tracks to Global Warming". Journal of Advances in Modeling Earth Systems. 11 (7): 1949. doi:10.1029/2018MS001592. ISSN 1942-2466.
- ^ Hartmann & Larson 2002, p. 2.
- ^ Del Genio 2016, p. 107.
- ^ Zhu, Jiang; Poulsen, Christopher J. (2020). "On the Increase of Climate Sensitivity and Cloud Feedback With Warming in the Community Atmosphere Models". Geophysical Research Letters. 47 (18): 5. doi:10.1029/2020GL089143. ISSN 1944-8007.
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specified (help) - ^ Ramirez, Ramses M.; Kopparapu, Ravi Kumar; Lindner, Valerie; Kasting, James F. (August 2014). "Can Increased Atmospheric CO2 Levels Trigger a Runaway Greenhouse?". Astrobiology. 14 (8): 723. doi:10.1089/ast.2014.1153. ISSN 1531-1074.
- ^ Hartmann & Larson 2002, pp. 1–2.
- ^ Hartmann & Larson 2002, p. 4.
- ^ Del Genio 2016, p. 116.
Sources
- Del Genio, Anthony D. (22 August 2016). "The Role of Clouds in Climate". Our Warming Planet. Volume 1. World Scientific: 103–130. doi:10.1142/9789813148796_0005.
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has extra text (help) - Hartmann, Dennis L.; Larson, Kristin (2002). "An important constraint on tropical cloud - climate feedback". Geophysical Research Letters. 29 (20): 12–1–12-4. doi:10.1029/2002GL015835. ISSN 1944-8007.