Search Results - "Zelinka, Mark D."

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  1. 1

    Observational constraints on mixed-phase clouds imply higher climate sensitivity by Tan, Ivy, Storelvmo, Trude, Zelinka, Mark D.

    “…Global climate model (GCM) estimates of the equilibrium global mean surface temperature response to a doubling of atmospheric CO₂, measured by the equilibrium…”
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  2. 2

    Causes of Higher Climate Sensitivity in CMIP6 Models by Zelinka, Mark D., Myers, Timothy A., McCoy, Daniel T., Po‐Chedley, Stephen, Caldwell, Peter M., Ceppi, Paulo, Klein, Stephen A., Taylor, Karl E.

    Published in Geophysical research letters (16-01-2020)
    “…Equilibrium climate sensitivity, the global surface temperature response to CO 2 doubling, has been persistently uncertain. Recent consensus places it likely…”
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  3. 3

    Insights from a refined decomposition of cloud feedbacks by Zelinka, Mark D., Zhou, Chen, Klein, Stephen A.

    Published in Geophysical research letters (16-09-2016)
    “…Decomposing cloud feedback into components due to changes in several gross cloud properties provides valuable insights into its physical causes. Here we…”
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  4. 4

    An observational radiative constraint on hydrologic cycle intensification by DeAngelis, Anthony M., Qu, Xin, Zelinka, Mark D., Hall, Alex

    Published in Nature (London) (10-12-2015)
    “…The magnitude of global precipitation increase predicted by climate models has a large uncertainty that has been difficult to constrain, but much of the range…”
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  5. 5

    Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels by Zelinka, Mark D., Klein, Stephen A., Hartmann, Dennis L.

    Published in Journal of climate (01-06-2012)
    “…This study proposes a novel technique for computing cloud feedbacks using histograms of cloud fraction as a joint function of cloud-top pressure (CTP) and…”
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  6. 6

    Why is longwave cloud feedback positive? by Zelinka, Mark D., Hartmann, Dennis L.

    “…Longwave cloud feedback is systematically positive and nearly the same magnitude across all global climate models used in the Intergovernmental Panel on…”
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  7. 7

    Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth by Zelinka, Mark D., Klein, Stephen A., Hartmann, Dennis L.

    Published in Journal of climate (01-06-2012)
    “…Cloud radiative kernels and histograms of cloud fraction, both as functions of cloud-top pressure and optical depth, are used to quantify cloud amount,…”
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  8. 8

    Intermodel Spread in the Pattern Effect and Its Contribution to Climate Sensitivity in CMIP5 and CMIP6 Models by Dong, Yue, Armour, Kyle C., Zelinka, Mark D., Proistosescu, Cristian, Battisti, David S., Zhou, Chen, Andrews, Timothy

    Published in Journal of climate (15-09-2020)
    “…Radiative feedbacks depend on the spatial patterns of sea surface temperature (SST) and thus can change over time as SST patterns evolve—the so-called pattern…”
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  9. 9

    Mixed-phase cloud physics and Southern Ocean cloud feedback in climate models by McCoy, Daniel T., Hartmann, Dennis L., Zelinka, Mark D., Ceppi, Paulo, Grosvenor, Daniel P.

    “…Increasing optical depth poleward of 45° is a robust response to warming in global climate models. Much of this cloud optical depth increase has been…”
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  10. 10

    Observed Sensitivity of Low-Cloud Radiative Effects to Meteorological Perturbations over the Global Oceans by Scott, Ryan C., Myers, Timothy A., Norris, Joel R., Zelinka, Mark D., Klein, Stephen A., Sun, Moguo, Doelling, David R.

    Published in Journal of climate (15-09-2020)
    “…Understanding how marine low clouds and their radiative effects respond to changing meteorological conditions is crucial to constrain low-cloud feedbacks to…”
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  11. 11

    Quantifying the Sources of Intermodel Spread in Equilibrium Climate Sensitivity by Caldwell, Peter M., Zelinka, Mark D., Taylor, Karl E., Marvel, Kate

    Published in Journal of climate (01-01-2016)
    “…This study clarifies the causes of intermodel differences in the global-average temperature response to doubled CO₂, commonly known as equilibrium climate…”
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  12. 12

    The response of the Southern Hemispheric eddy-driven jet to future changes in shortwave radiation in CMIP5 by Ceppi, Paulo, Zelinka, Mark D., Hartmann, Dennis L.

    Published in Geophysical research letters (16-05-2014)
    “…A strong relationship is found between changes in the meridional gradient of absorbed shortwave radiation (ASR) and Southern Hemispheric jet shifts in 21st…”
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  13. 13

    Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5 by Zelinka, Mark D., Klein, Stephen A., Taylor, Karl E., Andrews, Timothy, Webb, Mark J., Gregory, Jonathan M., Forster, Piers M.

    Published in Journal of climate (01-07-2013)
    “…Using five climate model simulations of the response to an abrupt quadrupling of CO₂, the authors perform the first simultaneous model intercomparison of cloud…”
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  14. 14

    Volcanic contribution to decadal changes in tropospheric temperature by Santer, Benjamin D., Bonfils, Céline, Painter, Jeffrey F., Zelinka, Mark D., Mears, Carl, Solomon, Susan, Schmidt, Gavin A., Fyfe, John C., Cole, Jason N. S., Nazarenko, Larissa, Taylor, Karl E., Wentz, Frank J.

    Published in Nature geoscience (01-03-2014)
    “…Global mean surface and tropospheric temperatures have shown slower warming since 1998 than found in climate model simulations. A detailed analysis of…”
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  15. 15

    The observed sensitivity of high clouds to mean surface temperature anomalies in the tropics by Zelinka, Mark D., Hartmann, Dennis L.

    “…Cloud feedback represents the source of largest diversity in projections of future warming. Observational constraints on both the sign and magnitude of the…”
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  16. 16

    The relationship between interannual and long-term cloud feedbacks by Zhou, Chen, Zelinka, Mark D., Dessler, Andrew E., Klein, Stephen A.

    Published in Geophysical research letters (16-12-2015)
    “…Analyses of Coupled Model Intercomparison Project phase 5 simulations suggest that climate models with more positive cloud feedback in response to interannual…”
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  17. 17

    Human influence on the seasonal cycle of tropospheric temperature by Santer, Benjamin D, Po-Chedley, Stephen, Zelinka, Mark D, Cvijanovic, Ivana, Bonfils, Céline, Durack, Paul J, Fu, Qiang, Kiehl, Jeffrey, Mears, Carl, Painter, Jeffrey, Pallotta, Giuliana, Solomon, Susan, Wentz, Frank J, Zou, Cheng-Zhi

    “…We provide scientific evidence that a human-caused signal in the seasonal cycle of tropospheric temperature has emerged from the background noise of natural…”
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  18. 18

    On the relationships among cloud cover, mixed‐phase partitioning, and planetary albedo in GCMs by McCoy, Daniel T., Tan, Ivy, Hartmann, Dennis L., Zelinka, Mark D., Storelvmo, Trude

    “…In this study, it is shown that CMIP5 global climate models (GCMs) that convert supercooled water to ice at relatively warm temperatures tend to have a greater…”
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  19. 19

    Statistical significance of climate sensitivity predictors obtained by data mining by Caldwell, Peter M., Bretherton, Christopher S., Zelinka, Mark D., Klein, Stephen A., Santer, Benjamin D., Sanderson, Benjamin M.

    Published in Geophysical research letters (16-03-2014)
    “…Several recent efforts to estimate Earth's equilibrium climate sensitivity (ECS) focus on identifying quantities in the current climate which are skillful…”
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  20. 20

    Larger Cloud Liquid Water Enhances Both Aerosol Indirect Forcing and Cloud Radiative Feedback in Two Earth System Models by Zhao, Xi, Liu, Xiaohong, Lin, Lin, Qin, Yi, Zelinka, Mark D., Klein, Stephen A., Zhang, Meng, Zhang, Kai, Ma, Po‐Lun, Zhu, Jiang, Lu, Zheng, Saravanan, Ramalingam

    Published in Geophysical research letters (28-01-2024)
    “…Previous studies have noticed that the Coupled Model Intercomparison Project Phase 6 (CMIP6) models with a stronger cooling from aerosol‐cloud interactions…”
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