Articles | Volume 11, issue 9
https://doi.org/10.5194/gmd-11-3865-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-3865-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| 
26 Sep 2018
Model experiment description paper |
| 26 Sep 2018
| 26 Sep 2018
An ensemble of AMIP simulations with prescribed land surface temperatures
Duncan Ackerley
CORRESPONDING AUTHOR
ARC Centre of Excellence for Climate System Science, School
of Earth Atmosphere and Environment, Monash University, Clayton, Victoria, Australia
Met Office, Exeter, UK
Robin Chadwick
Met Office Hadley Centre, Exeter, UK
Dietmar Dommenget
ARC Centre of Excellence for Climate System Science, School
of Earth Atmosphere and Environment, Monash University, Clayton, Victoria, Australia
Paola Petrelli
ARC Centre of Excellence for Climate System Science, Institute
for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
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Cited
16 citations as recorded by crossref.
- North Atlantic and the Barents Sea variability contribute to the 2023 extreme fire season in Canada G. Liu et al. https://doi.org/10.1073/pnas.2414241121
- Satellite Observed Sensitivity of Tropical Clouds and Moisture to Sea Surface Temperature on Various Time and Space Scales: 2. Focus on Marine Low Level Clouds E. Höjgård‐Olsen et al. https://doi.org/10.1029/2021JD035402
- Weakened relationship between November Barents-Kara sea ice and January Arctic Oscillation after the mid-1990s S. Zheng et al. https://doi.org/10.1038/s41612-025-01186-7
- Separating the Influences of Land Warming, the Direct CO2 Effect, the Plant Physiological Effect, and SST Warming on Regional Precipitation Changes R. Chadwick et al. https://doi.org/10.1029/2018JD029423
- The Radiative Forcing Model Intercomparison Project (RFMIP2.0) for CMIP7 R. Kramer et al. https://doi.org/10.5194/gmd-19-4447-2026
- Surface Warming and Atmospheric Circulation Dominate Rainfall Changes Over Tropical Rainforests Under Global Warming M. Saint‐Lu et al. https://doi.org/10.1029/2019GL085295
- Evaluating Variable‐Resolution CESM Over China and Western United States for Use in Water‐Energy Nexus and Impacts Modeling Z. Xu et al. https://doi.org/10.1029/2020JD034361
- Satellite Observed Sensitivity of Tropical Clouds and Moisture to Sea Surface Temperature on Various Time and Space Scales: 1. Focus on High Level Cloud Situations Over Ocean E. Höjgård‐Olsen et al. https://doi.org/10.1029/2021JD035438
- Influences of Local and Remote Conditions on Tropical Precipitation and Its Response to Climate Change M. Saint-Lu et al. https://doi.org/10.1175/JCLI-D-19-0450.1
- Hydrological analysis in watersheds with a variable-resolution global climate model (VR-CESM) Z. Xu & A. Di Vittorio https://doi.org/10.1016/j.jhydrol.2021.126646
- Evaluating and projecting of climate extremes using a variable-resolution global climate model (VR-CESM) Z. Xu et al. https://doi.org/10.1016/j.wace.2022.100496
- Evaluation of tropical water vapour from CMIP6 global climate models using the ESA CCI Water Vapour climate data records J. He et al. https://doi.org/10.5194/acp-22-12591-2022
- Interchangeability of multi-decade skin and surface air temperature trends over land in models M. Richardson https://doi.org/10.1088/2752-5295/ad3f3c
- Middle East dust as an important external driver of the Indian Ocean Dipole G. Liu et al. https://doi.org/10.1038/s41467-026-68842-1
- Seasonally variant low cloud adjustment over cool oceans Y. Kamae et al. https://doi.org/10.1007/s00382-018-4478-7
- Effective Radiative Forcing in a GCM With Fixed Surface Temperatures T. Andrews et al. https://doi.org/10.1029/2020JD033880
16 citations as recorded by crossref.
- North Atlantic and the Barents Sea variability contribute to the 2023 extreme fire season in Canada G. Liu et al. https://doi.org/10.1073/pnas.2414241121
- Satellite Observed Sensitivity of Tropical Clouds and Moisture to Sea Surface Temperature on Various Time and Space Scales: 2. Focus on Marine Low Level Clouds E. Höjgård‐Olsen et al. https://doi.org/10.1029/2021JD035402
- Weakened relationship between November Barents-Kara sea ice and January Arctic Oscillation after the mid-1990s S. Zheng et al. https://doi.org/10.1038/s41612-025-01186-7
- Separating the Influences of Land Warming, the Direct CO2 Effect, the Plant Physiological Effect, and SST Warming on Regional Precipitation Changes R. Chadwick et al. https://doi.org/10.1029/2018JD029423
- The Radiative Forcing Model Intercomparison Project (RFMIP2.0) for CMIP7 R. Kramer et al. https://doi.org/10.5194/gmd-19-4447-2026
- Surface Warming and Atmospheric Circulation Dominate Rainfall Changes Over Tropical Rainforests Under Global Warming M. Saint‐Lu et al. https://doi.org/10.1029/2019GL085295
- Evaluating Variable‐Resolution CESM Over China and Western United States for Use in Water‐Energy Nexus and Impacts Modeling Z. Xu et al. https://doi.org/10.1029/2020JD034361
- Satellite Observed Sensitivity of Tropical Clouds and Moisture to Sea Surface Temperature on Various Time and Space Scales: 1. Focus on High Level Cloud Situations Over Ocean E. Höjgård‐Olsen et al. https://doi.org/10.1029/2021JD035438
- Influences of Local and Remote Conditions on Tropical Precipitation and Its Response to Climate Change M. Saint-Lu et al. https://doi.org/10.1175/JCLI-D-19-0450.1
- Hydrological analysis in watersheds with a variable-resolution global climate model (VR-CESM) Z. Xu & A. Di Vittorio https://doi.org/10.1016/j.jhydrol.2021.126646
- Evaluating and projecting of climate extremes using a variable-resolution global climate model (VR-CESM) Z. Xu et al. https://doi.org/10.1016/j.wace.2022.100496
- Evaluation of tropical water vapour from CMIP6 global climate models using the ESA CCI Water Vapour climate data records J. He et al. https://doi.org/10.5194/acp-22-12591-2022
- Interchangeability of multi-decade skin and surface air temperature trends over land in models M. Richardson https://doi.org/10.1088/2752-5295/ad3f3c
- Middle East dust as an important external driver of the Indian Ocean Dipole G. Liu et al. https://doi.org/10.1038/s41467-026-68842-1
- Seasonally variant low cloud adjustment over cool oceans Y. Kamae et al. https://doi.org/10.1007/s00382-018-4478-7
- Effective Radiative Forcing in a GCM With Fixed Surface Temperatures T. Andrews et al. https://doi.org/10.1029/2020JD033880
Saved (final revised paper)
Latest update: 11 Jun 2026
Short summary
Climate models have been run using observed sea surface temperatures to identify biases in the atmospheric circulation. In this work, land surface temperatures are also constrained, which is not routinely done. Experiments include increasing sea surface temperatures, quadrupling atmospheric carbon dioxide and increasing solar radiation. The response of the land surface is then allowed or suppressed, and the global climate is evaluated. Information on how to obtain the model data is also given.
Climate models have been run using observed sea surface temperatures to identify biases in the...
