2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009


Santer, B. D., et al including M. D. Zelinka, 2018: Human influence on the seasonal cycle of tropospheric temperature, Science, in press.

Caldwell, P. M., M. D. Zelinka, and S. A. Klein, 2018: Evaluating Emergent Constraints on Equilibrium Climate Sensitivity, J. Climate313921-3942, doi:10.1175/JCLI-D-17-0631.1.

Po-Chedley, S., K. C. Armour, C. M. Bitz, M. D. Zelinka, B. D Santer, and Q. Fu, 2018: Sources of intermodel spread in the lapse rate and water vapor feedbacks, J. Climate, 313187–3206, doi:10.1175/JCLI-D-17-0674.1.

Qu, X., A. Hall, A. M. DeAngelis, M. D. Zelinka, S. A. Klein, H. Su, B. Tian, and C. Zhai, 2018: On the emergent constraints of climate sensitivity, J. Climate, 31, 863–875, doi:10.1175/JCLI-D-17-0482.1.


Tsushima, Y., F. Brient, S. A. Klein, D. Konsta, C. Nam, X. Qu, K. D. Williams, S. C. Sherwood, K. Suzuki, and M. D. Zelinka, 2017: The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate modelsGeosci. Model Dev., 10, 4285-4305, doi:10.5194/gmd-10-4285-2017.

Zelinka M. D., D. A. Randall, M. J. Webb, & S. A. Klein, 2017: Clearing clouds of uncertainty, Nature Clim. Change 7, 674–678 doi:10.1038/nclimate3402.

Zhou, C., M. D. Zelinka, and S. A. Klein, 2017: Analyzing the dependence of global cloud feedback on the spatial pattern of sea surface temperature change with a Green’s Function approach, J. Adv. Model. Earth Syst., 9, 21742189, doi:10.1002/2017MS001096.

Bonfils, C., G. Anderson, B. D. Santer, T. J. Phillips, K. Taylor, M. Cuntz, M. D. Zelinka, K. Marvel, B. I. Cook, I. Cvijanovic, and P. Durack, 2017: Competing influences of anthropogenic warming, ENSO, and plant physiology on future terrestrial aridity, J. Climate, 30, 6883-6904, doi:10.1175/JCLI-D-17-0005.1.

Ceppi, P., F. Brient, M. D. Zelinka, and D. L. Hartmann, 2017: Cloud feedback mechanisms and their representation in global climate models, WIREs Climate Change, e465, doi:10.1002/wcc.465.


Zhou, C., M. D. Zelinka, and S. A. Klein, 2016: Impact of decadal cloud variations on the Earth’s energy budget, Nature Geoscience, 9, 871–874, doi: 10.1038/ngeo2828.
Thorsten Mauritsen’s News and Views on this article: Global warming: Clouds cooled the Earth

Zelinka, M. D., C. Zhou, and S. A. Klein, 2016: Insights from a Refined Decomposition of Cloud Feedbacks, Geophys. Res. Lett., 4392599269, doi:10.1002/2016GL069917.

Terai, C., S. A. Klein, and M. D. Zelinka, 2016: Constraining the low-cloud optical depth feedback at middle and high latitudes using satellite observations, J. Geophys. Res., 121, 96969716, doi:10.1002/2016JD025233.

Norris, J. R., R. J. Allen, A. T. Evan, M. D. Zelinka, C. W. O’Dell, and S. A. Klein, 2016: Evidence for Climate Change in the Satellite Cloud Record, Nature, 536, 72–75, doi:10.1038/nature18273.

McCoy, D. T., I. Tan, D. L. Hartmann, M. D. Zelinka, T. Storelvmo, 2016: On the relationships among cloud cover, mixed-phase partitioning, and planetary albedo in GCMs, J. Adv. Model. Earth Syst., 8, 650–668, doi:10.1002/2015MS000589.

Tan, I., T. Storelvmo, and M. D. Zelinka, 2016: Observational constraints on mixed-phase clouds imply higher climate sensitivity, Science, 352, 6282, 224-227, doi:10.1126/science.aad5300.

Yuan, T., L. Oreopoulos, M. D. Zelinka, H. Yu, J. Norris, M. Chin, S. Platnick, and K. Meyer, 2016: Positive low cloud and dust feedbacks amplify tropical North Atlantic multidecadal oscillationGeophys. Res. Lett., 43, 13491356, doi:10.1002/2016GL067679.

Caldwell, P. M., M. D. Zelinka, K. E. Taylor, and K. Marvel, 2016: Quantifying the Sources of Inter-Model Spread in Equilibrium Climate Sensitivity,  J. Climate, 29, 513–524, doi:10.1175/JCLI-D-15-0352.1.

Santer, B. D., S. Solomon, D. Ridley, J. Fyfe, F. Beltran, C. Bonfils, J. Painter, and M. D. Zelinka, 2016: Volcanic effects on climate, Nature Clim. Change, 6, 3-4, doi:10.1038/nclimate2859.


Zhou, C., M. D. Zelinka, A. E. Dessler, S. A. Klein, 2015: The relationship between inter-annual and long-term cloud feedbacks, Geophys. Res. Lett., 42, 10,46310,469, doi:10.1002/2015GL066698.

DeAngelis, A. M., X. Qu, M. D. Zelinka, and A. Hall, 2015: An observational radiative constraint on hydrologic cycle intensification, Nature, 528, 249-253, doi:10.1038/nature15770.   Corrigendum
Steve Sherwood’s News and Views on this article: The Sun and the rain

McCoy, D. T., D. L. Hartmann, M. D. Zelinka, P. Ceppi and D. P. Grosvenor, 2015: Mixed-phase cloud physics and midlatitude cloud feedback in climate models, J. Geophys. Res., 120, 9539-9554, doi: 10.1002/2015JD023603.

Marvel, K., M. D. Zelinka, S. A. Klein, C. Bonfils, P. M. Caldwell, C. Doutriaux, B. D. Santer, and K. E. Taylor, 2015: External influences on modeled and observed cloud trends, J. Climate, 28, 4820-4840, doi:10.1175/JCLI-D-14-00734.1.

Santer, B. D., S. Solomon, C. Bonfils, M. D. Zelinka, J. F. Painter, F. Beltran, J. C. Fyfe, G. Johannesson, C. Mears, D. A. Ridley, J.-P. Vernier, and F. J. Wentz, 2015: Observed multi-variable signals of late 20th and early 21st century volcanic activity, Geophys. Res. Lett., 42, 500509, doi:10.1002/2014GL062366.

Zhou, C., A. E. Dessler, M. D. Zelinka, P. Yang, and T. Wang, 2015: Cirrus feedback on inter-annual climate fluctuations, Geophys. Res. Lett., 41, 91669173, doi:10.1002/2014GL062095.


Johnston, M. S., S. Eliasson, P. Eriksson, R. M. Forbes, A. Gettelman, P. Räisänen, and M. D. Zelinka, 2014: Diagnosing the average spatio-temporal impact of convective systems – Part 2: A model intercomparison using satellite data, Atmos. Chem. Phys., 14, 8701-8721, doi:10.5194/acp-14-8701-2014.

Zelinka, M. D., T. Andrews, P. M. Forster, and K. E. Taylor, 2014: Quantifying Components of Aerosol-Cloud-Radiation Interactions in Climate Models, J. Geophys. Res., 119, 7599-7615, doi:10.1002/2014JD021710.

Ceppi, P., M. D. Zelinka, and D. L. Hartmann, 2014: The Response of the Southern Hemispheric Eddy-Driven Jet to Future Changes in Shortwave Radiation in CMIP5, Geophys. Res. Lett., 41, 3244-3250, doi:10.1002/2014GL060043.

Caldwell, P. M., C. S. Bretherton, M. D. Zelinka, S. A. Klein, B. D. Santer, and B. M. Sanderson, 2014: Statistical Significance of Climate Sensitivity Predictors Obtained by Data Mining, Geophys. Res. Lett., 41, 1803–1808, doi:10.1002/2014GL059205.

Santer, B. D., C. Bonfils, J. F. Painter, M. D. Zelinka, C. Mears, S. Solomon, G. A. Schmidt, J. C. Fyfe, J. N. S. Cole, L. Nazarenko, K. E. Taylor, and F. J. Wentz, 2014: Volcanic Contribution to Decadal Changes in Tropospheric Temperature, Nature Geoscience, 7, 185–189, doi:10.1038/ngeo2098.


Johnston, M. S., S. Eliasson, P. Eriksson, R. M. Forbes, K. Wyser, and M. D. Zelinka, 2013: Diagnosing the average spatio-temporal impact of convective systems – Part 1: A methodology for evaluating climate models, Atmos. Chem. Phys., 13, 12043-12058, doi:10.5194/acp-13-12043-2013.

Grise, K. M., L. M. Polvani, G. Tselioudis, Y. Wu, and M. D. Zelinka, 2013: The ozone hole indirect effect: Cloud-radiative anomalies accompanying the poleward shift of the eddy-driven jet in the Southern HemisphereGeophys. Res. Lett., 40, 1-5, doi:10.1002/grl.50675.

Zelinka, M. D., S. A. Klein, K. E. Taylor, T. Andrews, M. J. Webb, J. M. Gregory, and P. M. Forster, 2013: Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5J. Climate., 26, 5007–5027. doi: 10.1175/JCLI-D-12-00555.1.

Zhou, C., M. D. Zelinka, A. E. Dessler, P. Yang, 2013: An analysis of the short-term cloud feedback using MODIS dataJ. Climate, 26, 4803–4815. doi: 10.1175/JCLI-D-12-00547.1.

Klein, S. A., Y. Zhang, M. D. Zelinka, R. N. Pincus, J.Boyle, and P. J. Gleckler, 2013: Are climate model simulations of clouds improving? An evaluation using the ISCCP simulatorJ. Geophys. Res. 118, 1329-1342. doi: 10.1002/jgrd.50141.
Cloud Error Metrics Code

Forster, P. M., T. Andrews, P. Good, J. Gregory, L. Jackson, and M. D. Zelinka, 2013: Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate modelsJ. Geophys. Res. 118, 1139-1150. doi: 10.1002/jgrd.50174.


Zelinka, M. D., S. A. Klein, and D. L. Hartmann, 2012: Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative KernelsJ. Climate, 25, 3715–3735. doi:10.1175/JCLI-D-11-00248.1.
Code and Kernels for Computing Cloud Feedbacks

Zelinka, M. D., S. A. Klein, and D. L. Hartmann, 2012: Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical DepthJ. Climate, 25, 3736–3754. doi:10.1175/JCLI-D-11-00249.1.

Zelinka, M. D. and D. L. Hartmann, 2012: Climate Feedbacks and their Implications for Poleward Energy Flux Changes in a Warming ClimateJ. Climate, 25, 608-624, doi:10.1175/JCLI-D-11-00096.1.


Zelinka, M. D. and D. L. Hartmann, 2011: The Observed Sensitivity of High Clouds to Mean Surface Temperature Anomalies in the TropicsJ. Geophys. Res., 116, D23103, doi:10.1029/2011JD016459.


Zelinka, M. D., 2010: Towards an Improved Understanding of Cloud Feedbacks and Changes in Poleward Energy Transport Associated with Global Warming. Ph.D. Dissertation. University of Washington.

Zelinka, M. D. and D. L. Hartmann, 2010: Why is Longwave Cloud Feedback Positive? J. Geophys. Res., 115, D16117, doi:10.1029/2010JD013817.


Zelinka, M. D. and D. L. Hartmann, 2009: Response of Humidity and Clouds to Tropical Deep ConvectionJ. Climate, 22, 2389-2404, doi:10.1175/2008JCLI2452.1.