Articles | Volume 24, issue 22
https://doi.org/10.5194/acp-24-12793-2024
https://doi.org/10.5194/acp-24-12793-2024
Research article
 | 
19 Nov 2024
Research article |  | 19 Nov 2024

The presence of clouds lowers climate sensitivity in the MPI-ESM1.2 climate model

Andrea Mosso, Thomas Hocking, and Thorsten Mauritsen

Related authors

Snowball Earth transitions from Last Glacial Maximum conditions provide an independent upper limit on Earth’s climate sensitivity
Martin Renoult, Navjit Sagoo, Johannes Hörner, and Thorsten Mauritsen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2981,https://doi.org/10.5194/egusphere-2024-2981, 2024
Short summary
Increasing aerosol direct effect despite declining global emissions in MPI-ESM1.2
Antoine Hermant, Linnea Huusko, and Thorsten Mauritsen
Atmos. Chem. Phys., 24, 10707–10715, https://doi.org/10.5194/acp-24-10707-2024,https://doi.org/10.5194/acp-24-10707-2024, 2024
Short summary
Can we reliably reconstruct the mid-Pliocene Warm Period with sparse data and uncertain models?
James D. Annan, Julia C. Hargreaves, Thorsten Mauritsen, Erin McClymont, and Sze Ling Ho
Clim. Past, 20, 1989–1999, https://doi.org/10.5194/cp-20-1989-2024,https://doi.org/10.5194/cp-20-1989-2024, 2024
Short summary
Observation-inferred resilience loss of the Amazon rainforest possibly due to internal climate variability
Raphael Grodofzig, Martin Renoult, and Thorsten Mauritsen
Earth Syst. Dynam., 15, 913–927, https://doi.org/10.5194/esd-15-913-2024,https://doi.org/10.5194/esd-15-913-2024, 2024
Short summary
Constraining net long term climate feedback from satellite observed internal variability possible by mid 2030s
Alejandro Uribe, Frida Bender, and Thorsten Mauritsen
EGUsphere, https://doi.org/10.5194/egusphere-2024-1559,https://doi.org/10.5194/egusphere-2024-1559, 2024
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Diurnal variation in an amplified canopy urban heat island during heat wave periods in the megacity of Beijing: roles of mountain–valley breeze and urban morphology
Tao Shi, Yuanjian Yang, Ping Qi, and Simone Lolli
Atmos. Chem. Phys., 24, 12807–12822, https://doi.org/10.5194/acp-24-12807-2024,https://doi.org/10.5194/acp-24-12807-2024, 2024
Short summary
Diurnal evolution of non-precipitating marine stratocumuli in a large-eddy simulation ensemble
Yao-Sheng Chen, Jianhao Zhang, Fabian Hoffmann, Takanobu Yamaguchi, Franziska Glassmeier, Xiaoli Zhou, and Graham Feingold
Atmos. Chem. Phys., 24, 12661–12685, https://doi.org/10.5194/acp-24-12661-2024,https://doi.org/10.5194/acp-24-12661-2024, 2024
Short summary
High ice water content in tropical mesoscale convective systems (a conceptual model)
Alexei Korolev, Zhipeng Qu, Jason Milbrandt, Ivan Heckman, Mélissa Cholette, Mengistu Wolde, Cuong Nguyen, Greg M. McFarquhar, Paul Lawson, and Ann M. Fridlind
Atmos. Chem. Phys., 24, 11849–11881, https://doi.org/10.5194/acp-24-11849-2024,https://doi.org/10.5194/acp-24-11849-2024, 2024
Short summary
Evolution of cloud droplet temperature and lifetime in spatiotemporally varying subsaturated environments with implications for ice nucleation at cloud edges
Puja Roy, Robert M. Rauber, and Larry Di Girolamo
Atmos. Chem. Phys., 24, 11653–11678, https://doi.org/10.5194/acp-24-11653-2024,https://doi.org/10.5194/acp-24-11653-2024, 2024
Short summary
Effect of secondary ice production processes on the simulation of ice pellets using the Predicted Particle Properties microphysics scheme
Mathieu Lachapelle, Mélissa Cholette, and Julie M. Thériault
Atmos. Chem. Phys., 24, 11285–11304, https://doi.org/10.5194/acp-24-11285-2024,https://doi.org/10.5194/acp-24-11285-2024, 2024
Short summary

Cited articles

Andrews, T. and Forster, P. M.: CO2 forcing induces semi-direct effects with consequences for climate feedback interpretations, Geophys. Res. Lett., 35, L04802, https://doi.org/10.1029/2007GL032273, 2008.​​​​​​​​​​​​​​ a
Andrews, T., Gregory, J. M., Forster, P. M., and Webb, M. J.: Cloud Adjustment and its Role in CO2 Radiative Forcing and Climate Sensitivity: A Review, Surv. Geophys., 33, 619–635, https://doi.org/10.1007/s10712-011-9152-0, 2012. a
Andrews, T., Gregory, J. M., and Webb, M. J.: The Dependence of Radiative Forcing and Feedback on Evolving Patterns of Surface Temperature Change in Climate Models, J. Climate, 28, 1630–1648, https://doi.org/10.1175/JCLI-D-14-00545.1, 2015. a
Armour, K. C., Bitz, C. M., and Roe, G. H.: Time-Varying Climate Sensitivity from Regional Feedbacks, J. Climate, 26, 4518–4534, https://doi.org/10.1175/JCLI-D-12-00544.1, 2013. a
Block, K. and Mauritsen, T.: Forcing and feedback in the MPI-ESM-LR coupled model under abruptly quadrupled CO2, J. Adv. Model. Earth Syst., 5, 676–691, https://doi.org/10.1002/jame.20041, 2013. a, b
Download
Short summary
Clouds play a crucial role in the Earth's energy balance, as they can either warm up or cool down the area they cover depending on their height and depth. They are expected to alter their behaviour under climate change, affecting the warming generated by greenhouse gases. This paper proposes a new method to estimate their overall effect on this warming by simulating a climate where clouds are transparent. Results show that with the model used, clouds have a stabilising effect on climate.
Altmetrics
Final-revised paper
Preprint