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
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
15 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
- 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
- Causes of Higher Climate Sensitivity in CMIP6 Models M. Zelinka et al. 10.1029/2019GL085782
- Solar UV Radiation in Saint-Denis, La Réunion and Cape Town, South Africa: 10 years Climatology and Human Exposure Assessment at Altitude . Cadet et al. 10.3390/atmos10100589
- 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
- An Assessment of Earth's Climate Sensitivity Using Multiple Lines of Evidence S. Sherwood et al. 10.1029/2019RG000678
- 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
- The Earth Model Column Collaboratory (EMC<sup>2</sup>) 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
- New Generation of Climate Models Track Recent Unprecedented Changes in Earth's Radiation Budget Observed by CERES N. Loeb et al. 10.1029/2019GL086705
- Improvements in Cloud and Water Vapor Simulations Over the Tropical Oceans in CMIP6 Compared to CMIP5 J. Jiang et al. 10.1029/2020EA001520
- Evolution of Tropical Cyclone Properties Across the Development Cycle of the GISS‐E3 Global Climate Model R. Russotto et al. 10.1029/2021MS002601
- Snow Reconciles Observed and Simulated Phase Partitioning and Increases Cloud Feedback G. Cesana et al. 10.1029/2021GL094876
15 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
- 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
- Causes of Higher Climate Sensitivity in CMIP6 Models M. Zelinka et al. 10.1029/2019GL085782
- Solar UV Radiation in Saint-Denis, La Réunion and Cape Town, South Africa: 10 years Climatology and Human Exposure Assessment at Altitude . Cadet et al. 10.3390/atmos10100589
- 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
- An Assessment of Earth's Climate Sensitivity Using Multiple Lines of Evidence S. Sherwood et al. 10.1029/2019RG000678
- 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
- The Earth Model Column Collaboratory (EMC<sup>2</sup>) 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
- New Generation of Climate Models Track Recent Unprecedented Changes in Earth's Radiation Budget Observed by CERES N. Loeb et al. 10.1029/2019GL086705
- Improvements in Cloud and Water Vapor Simulations Over the Tropical Oceans in CMIP6 Compared to CMIP5 J. Jiang et al. 10.1029/2020EA001520
- Evolution of Tropical Cyclone Properties Across the Development Cycle of the GISS‐E3 Global Climate Model R. Russotto et al. 10.1029/2021MS002601
- Snow Reconciles Observed and Simulated Phase Partitioning and Increases Cloud Feedback G. Cesana et al. 10.1029/2021GL094876
Latest update: 08 Jun 2023
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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