Articles | Volume 19, issue 5
https://doi.org/10.5194/acp-19-2813-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-2813-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Mar 2019
Research article |
| 04 Mar 2019
| 04 Mar 2019
Evaluating models' response of tropical low clouds to SST forcings using CALIPSO observations
Grégory Cesana
CORRESPONDING AUTHOR
Columbia University, Center for Climate Systems Research, Earth
Institute, New York, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
Columbia University, Department of Applied Physics and Applied
Mathematics, New York, NY, USA
Anthony D. Del Genio
NASA Goddard Institute for Space Studies, New York, NY, USA
Andrew S. Ackerman
NASA Goddard Institute for Space Studies, New York, NY, USA
Maxwell Kelley
NASA Goddard Institute for Space Studies, New York, NY, USA
SciSpace LLC, Institute for Space Studies, New York, NY, USA
Gregory Elsaesser
NASA Goddard Institute for Space Studies, New York, NY, USA
Columbia University, Department of Applied Physics and Applied
Mathematics, New York, NY, USA
Ann M. Fridlind
NASA Goddard Institute for Space Studies, New York, NY, USA
Ye Cheng
Columbia University, Center for Climate Systems Research, Earth
Institute, New York, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
Mao-Sung Yao
NASA Goddard Institute for Space Studies, New York, NY, USA
SciSpace LLC, Institute for Space Studies, New York, NY, USA
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Cited
34 citations as recorded by crossref.
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- Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations H. Andersen et al. 10.5194/acp-23-10775-2023
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- Fast Atmospheric Response to a Cold Oceanic Mesoscale Patch in the North‐Western Tropical Atlantic C. Acquistapace et al. 10.1029/2022JD036799
- Radiatively Active Hydrometeor Frequencies From CloudSat–CALIPSO Data for Evaluating Cloud Fraction in Global Climate Models J. Li et al. 10.1029/2023JD038511
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- Evaluating the Representation of Tropical Stratocumulus and Shallow Cumulus Clouds As Well As Their Radiative Effects in CMIP6 Models Using Satellite Observations N. Črnivec et al. 10.1029/2022JD038437
- Effects of Sea-Surface Temperature, Cloud Vertical Structure and Wind Speed on Temperature Change between Hiatus and Post-Hiatus Periods in Tropical Western Pacific C. Su & J. Kiang 10.3390/atmos13122130
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- Analysis of the cloud fraction adjustment to aerosols and its dependence on meteorological controls using explainable machine learning Y. Jia et al. 10.5194/acp-24-13025-2024
34 citations as recorded by crossref.
- Observational constraint on cloud feedbacks suggests moderate climate sensitivity G. Cesana & A. Del Genio 10.1038/s41558-020-00970-y
- The Turning Point of the Aerosol Era S. Bauer et al. 10.1029/2022MS003070
- Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic E. Lenhardt et al. 10.5194/amt-16-2037-2023
- 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. 10.1029/2021JD035402
- Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations H. Andersen et al. 10.5194/acp-23-10775-2023
- Solar UV Radiation in Saint-Denis, La Réunion and Cape Town, South Africa: 10 years Climatology and Human Exposure Assessment at Altitude J. Cadet et al. 10.3390/atmos10100589
- Interactions between trade wind clouds and local forcings over the Great Barrier Reef: a case study using convection-permitting simulations W. Zhao et al. 10.5194/acp-24-5713-2024
- Importance of ice nucleation and precipitation on climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1) A. Gettelman et al. 10.5194/gmd-16-1735-2023
- New Generation of Climate Models Track Recent Unprecedented Changes in Earth's Radiation Budget Observed by CERES N. Loeb et al. 10.1029/2019GL086705
- Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions? J. Mülmenstädt et al. 10.5194/acp-24-13633-2024
- Evolution of Tropical Cyclone Properties Across the Development Cycle of the GISS‐E3 Global Climate Model R. Russotto et al. 10.1029/2021MS002601
- Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM Y. Imura & T. Michibata 10.1029/2022MS003046
- Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1 P. Ma et al. 10.5194/gmd-15-2881-2022
- Cloud Response Is Significantly Biased by CMIP6 Over the Tibetan Plateau Y. Zhao et al. 10.1029/2022GL100903
- Anthony Del Genio: Climates of Planets Near and Far A. Del Genio 10.1029/2019CN000109
- Characteristics of Model Tropical Cyclone Climatology and the Large-Scale Environment S. Camargo et al. 10.1175/JCLI-D-19-0500.1
- Comparisons of simulated radiation, surface wind stress and SST fields over tropical pacific by the GISS CMIP6 versions of global climate models with observations J. Li et al. 10.1088/2515-7620/aca9ab
- Causes of Higher Climate Sensitivity in CMIP6 Models M. Zelinka et al. 10.1029/2019GL085782
- Seasonality of feedback mechanisms involved in Pacific coastal Niño events D. Rudloff et al. 10.1007/s00382-024-07549-9
- The Cumulus And Stratocumulus CloudSat-CALIPSO Dataset (CASCCAD) G. Cesana et al. 10.5194/essd-11-1745-2019
- GISS‐E2.1: Configurations and Climatology M. Kelley et al. 10.1029/2019MS002025
- Fast Atmospheric Response to a Cold Oceanic Mesoscale Patch in the North‐Western Tropical Atlantic C. Acquistapace et al. 10.1029/2022JD036799
- Radiatively Active Hydrometeor Frequencies From CloudSat–CALIPSO Data for Evaluating Cloud Fraction in Global Climate Models J. Li et al. 10.1029/2023JD038511
- General circulation models simulate negative liquid water path–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path J. Mülmenstädt et al. 10.5194/acp-24-7331-2024
- Observed Sensitivity of Low-Cloud Radiative Effects to Meteorological Perturbations over the Global Oceans R. Scott et al. 10.1175/JCLI-D-19-1028.1
- The Influence of Sea Surface Temperature Reemergence on Marine Stratiform Cloud A. Geiss et al. 10.1029/2020GL086957
- Earth-system-model evaluation of cloud and precipitation occurrence for supercooled and warm clouds over the Southern Ocean's Macquarie Island M. Stanford et al. 10.5194/acp-23-9037-2023
- The Earth Model Column Collaboratory (EMC2) v1.1: an open-source ground-based lidar and radar instrument simulator and subcolumn generator for large-scale models I. Silber et al. 10.5194/gmd-15-901-2022
- An observation-based method to assess tropical stratocumulus and shallow cumulus clouds and feedbacks in CMIP6 and CMIP5 models G. Cesana et al. 10.1088/2515-7620/acc78a
- Improvements in Cloud and Water Vapor Simulations Over the Tropical Oceans in CMIP6 Compared to CMIP5 J. Jiang et al. 10.1029/2020EA001520
- Evaluating the Representation of Tropical Stratocumulus and Shallow Cumulus Clouds As Well As Their Radiative Effects in CMIP6 Models Using Satellite Observations N. Črnivec et al. 10.1029/2022JD038437
- Effects of Sea-Surface Temperature, Cloud Vertical Structure and Wind Speed on Temperature Change between Hiatus and Post-Hiatus Periods in Tropical Western Pacific C. Su & J. Kiang 10.3390/atmos13122130
- Snow Reconciles Observed and Simulated Phase Partitioning and Increases Cloud Feedback G. Cesana et al. 10.1029/2021GL094876
- Analysis of the cloud fraction adjustment to aerosols and its dependence on meteorological controls using explainable machine learning Y. Jia et al. 10.5194/acp-24-13025-2024
Latest update: 02 Apr 2025
Short summary
The response of low clouds to climate change (i.e., cloud feedbacks) is still pointed out as being the largest source of uncertainty in climate models. Here we use CALIPSO observations to discriminate climate models that reproduce observed interannual change of cloud fraction with SST forcings, referred to as a present-day cloud feedback. Modeling moist processes in the planetary boundary layer is crucial to produce large stratocumulus decks and realistic present-day cloud feedbacks.
The response of low clouds to climate change (i.e., cloud feedbacks) is still pointed out as...
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