publications

= Github Repository
= Additional Coverage

Submitted

• Espinosa, Z. and M. D. Zelinka, 2024: The Shortwave Cloud-SST Feedback Amplifies Multi-Decadal Pacific Sea Surface Temperature Trends: Implications for Observed Cooling, Geophys. Res. Lett., submitted.

• Zhou, C., Q. Wang, I. Tan, L. Zhang, M. D. Zelinka, M. Wang, 2024: Sea ice pattern effect on Earth’s energy budget is characterized by hemispheric asymmetry, submitted.

• Thackeray, C., M. D. Zelinka, J. Norris, A. Hall, S. Po-Chedley, 2024: Relationship between tropical cloud feedback and climatological bias in clouds, Geophys. Res. Lett., submitted.

• Ceppi, P., T. A. Myers, P. Nowack, C. J. Wall, and M. D. Zelinka, 2024: Implications of a pervasive climate model bias for low-cloud feedback, Geophys. Res. Lett., submitted.

• Lin, Y.-J., G. V. Cesana, C. Proistosescu , M. D. Zelinka, and K. C. Armour, 2024: The relative importance of forced and unforced temperature patterns in driving the time variation of low-cloud feedback, J. Climate, submitted.

2024

• Lee, J. et al. including M. D. Zelinka, 2024: Systematic and Objective Evaluation of Earth System Models: PCMDI Metrics Package (PMP) version 3, Geosci. Model Dev., 17, 3919-3948, doi:10.5194/gmd-17-3919-2024.

• Tan, I., M. D. Zelinka, Q. Coopman, B. H. Kahn, L. Oreopoulos, G. Tselioudis, D. T. McCoy, N. Li, 2024: Contributions from cloud morphological changes to the interannual shortwave cloud feedback based on MODIS and ISCCP satellite observations, J. Geophys. Res., 129, doi:10.1029/2023JD040540.

• Cesana, G. V., A. S. Ackerman, A. M. Fridlind, I. Silber, A. D. Del Genio, M. D. Zelinka, H. Chepfer, T. Khadir, and R. Roehrig, 2024: Observational constraint on a feedback from supercooled clouds reduces projected warming uncertainty, Commun. Earth Environ., 5, 181, doi:10.1038/s43247-024-01339-1.

• Zhao, X. et al including M. D. Zelinka, 2024: Larger cloud liquid water enhances both aerosol indirect forcing and cloud radiative feedback in two Earth System Models, Geophys. Res. Lett., 51, doi:10.1029/2023GL105529.

• Chao, L.-W., M. D. Zelinka, and A. E. Dessler, 2024: Evaluating Cloud Feedback Components in Observations and Their Representation in Climate Models, J. Geophys. Res., 129, doi:10.1029/2023JD039427.

• Qin, Y., X. Zheng, S. A. Klein, M. D. Zelinka, P.-L. Ma, J.-C. Golaz, S. Xie, 2024: Causes of Reduced Climate Sensitivity in E3SM from Version 1 to Version 2, J. Adv. Model. Earth Syst., 16, doi:10.1029/2023MS003875.

2023

• Rugenstein, M., M. D. Zelinka, K. Karnauskas, P. Ceppi, and T. Andrews, 2023: Patterns of Surface Warming Matter for Climate Sensitivity, Eos, 104, doi:10.1029/2023EO230411.

• Samset, B., C. Zhou, J. S. Fuglestvedt, M. T. Lund, J. Marotzke, and M. D. Zelinka, 2023: Steady global surface warming from 1973 to 2022 but increased warming rate after 1990, Commun. Earth Environ., 4, 400, doi:10.1038/s43247-023-01061-4.

• Bonan, D. B., N. Feldl, M. D. Zelinka, and L. C. Hahn, 2023: Contributions to regional precipitation change and its polar-amplified pattern under warming, Environ. Res.: Climate, 2, 035010, doi:10.1088/2752-5295/ace27a.

• Zelinka, M. D., C. J. Smith, Y. Qin, and K. E. Taylor, 2023: Comparison of methods to estimate aerosol effective radiative forcings in climate models, Atmos. Chem. Phys., 23, 8879–8898, doi:10.5194/acp-23-8879-2023.
  Code to perform the analysis from this paper

• Myers, T. A., M. D. Zelinka, and S. A. Klein, 2023: Observational Constraints on the Cloud Feedback Pattern Effect, J. Climate, 36, 6533–6545, doi:10.1175/JCLI-D-22-0862.1.

• Zhou, C., M. Wang, M. D. Zelinka, Y. Liu, Y. Dong, K. C. Armour, 2023: Explaining Forcing Efficacy with Pattern Effect and State Dependence, Geophys. Res. Lett., doi:10.1029/2022GL101700.

• Zelinka, M. D., I. Tan, L. Oreopoulos, G. Tselioudis, 2023: Detailing Cloud Property Feedbacks with a Regime-Based Decomposition, Clim Dyn., 60, 2983–3003, doi:10.1007/s00382-022-06488-7.
  Code to perform the analysis from this paper

2022

• Santer, B. D, et al. including M. D. Zelinka, 2022: Robust anthropogenic signal identified in the seasonal cycle of tropospheric temperature, J. Climate, 35(18), 6075-6100, doi:10.1175/JCLI-D-21-0766.1.

• Hausfather, Z., K. Marvel, G. A. Schmidt, J. W. Nielsen-Gammon, and M. D. Zelinka, 2022: Climate simulations: recognize the ‘hot model’ problem, Nature, doi:10.1038/d41586-022-01192-2.

• Samset, B., C. Zhou, J. Fuglestvedt, M. Lund, J. Marotzke, M. D. Zelinka, 2022: Earlier emergence of a temperature response to mitigation by filtering annual variability, Nat Commun., 13, 1578, doi:10.1038/s41467-022-29247-y.

• McCoy, D. M., P. Field, M. E. Frazer, M. D. Zelinka, G. S. Elsaesser, J. Mülmenstädt, I. Tan, T. A. Myers,  Z. Lebo, 2022: Extratropical shortwave cloud feedbacks in the context of the global circulation and hydrological cycle, Geophys. Res. Lett., 49, doi:10.1029/2021GL097154.

• Ma, P.-L., et al. including M. D. Zelinka, 2022: Better calibration of cloud parameterizations and subgrid effects increases the fidelity of E3SM Atmosphere Model version 1, Geosci. Model Dev., 15, 2881–2916, doi:10.5194/gmd-15-2881-2022.

• Qin, Y., M. D. Zelinka, and S. A. Klein, 2022: On the Correspondence between Atmosphere-Only and Coupled Simulations for Radiative Feedbacks and Forcing from CO2, J. Geophys. Res., 127, doi:10.1029/2021JD035460.

• Zelinka, M. D., S. A. Klein, Y. Qin, and T. A. Myers, 2022: Evaluating climate models’ cloud feedbacks against expert judgment, J. Geophys. Res., 127, doi:10.1029/2021JD035198.
  Code to perform the analysis from this paper

2021

• Hahn L. C., K. C. Armour, M. D. Zelinka, C. M. Bitz, and A. Donohoe, 2021: Contributions to Polar Amplification in CMIP5 and CMIP6 Models, Front. Earth Sci. 9:710036. doi: 10.3389/feart.2021.710036.

• Muelmenstaedt, J., M. Salzmann , J. E. Kay, M. D. Zelinka, P. L. Ma, S. Hornig, and J. Quaas, 2021: An underestimated negative cloud feedback from cloud lifetime changes, Nature Clim. Change, 11, 508–513, doi:10.1038/s41558-021-01038-1.
  The cooling of light rains in a warming world.

• Santer, B. D., et al. including M. D. Zelinka, 2021: Using climate model simulations to constrain observations, J. Climate, doi:10.1175/JCLI-D-20-0768.1.

• Myers, T. A., R. C. Scott, M. D. Zelinka, S. A. Klein, J. R. Norris, and P. M. Caldwell, 2021: Observational Constraints on Low Cloud Feedback Reduce Uncertainty of Climate Sensitivity, Nature Clim. Change, doi:10.1038/s41558-021-01039-0.
  Meteorological cloud radiative kernels

• Thackeray, C. W., A. Hall, M. D. Zelinka, and C. G. Fletcher, 2021: Assessing prior emergent constraints on surface albedo feedback in CMIP6, J. Climate, 34(10), 3889-3905, doi:10.1175/JCLI-D-20-0703.1.

• Po-Chedley, S., B. D. Santer, S. Fueglistaler, M. D. Zelinka, P. J. Cameron-Smith, J. F. Painter, and Q. Fu, 2021: Natural variability can explain model-satellite differences in tropical tropospheric warming, Proc. Natl. Acad. Sci., doi:10.1073/pnas.2020962118.

• Pihl, E., et al. including M. D. Zelinka, 2021: 10 New Insights in Climate Science 2020 - a Horizon Scan, Global Sustainability, 4, e5, 1–18, doi:10.1017/sus.2021.2.

• Ma, H.-Y., et al. including M. D. Zelinka, 2021: A multi-year short-range hindcast experiment with CESM1 for evaluating climate model moist processes from diurnal to interannual timescales, Geosci. Model Dev., 14, 73–90, doi:10.5194/gmd-14-73-2021.

• Zhou, C., M. D. Zelinka, A. E. Dessler, and M. Wang, 2021: Greater committed warming after accounting for the SST pattern effect, Nature Clim. Change, 11, 132-136, doi:10.1038/s41558-020-00955-x.

2020

• Zelinka, M. D., M. A. A. Rugenstein, S. A. Klein, 2020: A more confident view of Earth’s climate sensitivity, American Physical Society Topical Group on the Physics of Climate Newsletter.

• McCoy, D. M., P. Field, A. Bodas-Salcedo, G. S. Elsaesser, and M. D. Zelinka, 2020: A regime-oriented approach to observationally constraining extratropical shortwave cloud feedbacks, J. Climate, doi:10.1175/JCLI-D-19-0987.1.

• Sherwood, S., et al. including M. D. Zelinka, 2020: A combined assessment of Earth’s climate sensitivity, Rev. Geophys., 58, doi:10.1029/2019RG000678.
  This paper was a runner-up for Science Magazine’s 2020 Breakthrough of the Year.

• Scott, R. C., T. A. Myers, J. R. Norris, M. D. Zelinka, S. A. Klein, M. Sun, and D. R. Doelling, 2020: Observed Sensitivity of Low-Cloud Radiative Effects to Meteorological Perturbations over the Global Oceans, J. Climate, 33, 7717–7734, doi:10.1175/JCLI-D-19-1028.1.
  Meteorological cloud radiative kernels

• Dong, Y. K. C. Armour, M. D. Zelinka, C. Proistosescu, D. S. Battisti, C. Zhou, and T. Andrews, 2020: Intermodel spread in the pattern effect and its contribution to climate sensitivity in CMIP5 and CMIP6 models, J. Climate, 33, 7755–7775, doi:10.1175/JCLI-D-19-1011.1.
  Nature Climate Change Research Highlight of this paper: The pattern effect and climate sensitivity.

• Zelinka, M. D., T. A. Myers, D. T. McCoy, S. Po-Chedley, P. M. Caldwell, P. Ceppi, S. A. Klein, and K. E. Taylor, 2020: Causes of higher climate sensitivity in CMIP6 models, Geophys. Res. Lett., 47, doi:10.1029/2019GL085782.
  Forcings, feedbacks, and ECS values (regularly updated)

• Zhou, C., Y. Hu, J. Lu, and M. D. Zelinka, 2020: Responses of the Hadley Circulation to regional sea surface temperature changes, J. Climate, 33, 429-441, doi:10.1175/JCLI-D-19-0315.1.

2019

• Po-Chedley, S., M. D. Zelinka, N. Jeevanjee, T. J. Thorsen, and B. D. Santer, 2019: Climatology explains intermodel spread in upper tropospheric cloud and relative humidity response to greenhouse warming, Geophys. Res. Lett., 46, doi:10.1029/2019GL084786.

• Santer, B. D., et al. including M. D. Zelinka, 2019: Quantifying stochastic uncertainty in detection time of human-caused climate signals, Proc. Natl. Acad. Sci., 116 (40) 19821-19827, doi:10.1073/pnas.1904586116.

• Chen, Y.-J., Y.-T. Hwang, M. D. Zelinka, and C. Zhou, 2019: Distinct patterns of cloud changes associated with decadal variability and their contribution to observed cloud cover trends, J. Climate, 32, 7281-7301, doi:10.1175/JCLI-D-18-0443.1.

• Zhang, Y., et al. including M. D. Zelinka, 2019: Evaluation of Clouds in Version 1 of the E3SM Atmosphere Model with Satellite Simulators, J. Adv. Model. Earth Syst., 11, 1253-1268, doi:10.1029/2018MS001562.

• Golaz, J.-C., et al. including M. D. Zelinka, 2019: The DOE E3SM coupled model version 1: Overview and evaluation at standard resolution, J. Adv. Model. Earth Syst., 11, 2089-2129, doi:10.1029/2018MS001603.

• Santer, B. D., et al. including M. D. Zelinka, 2019: Celebrating the anniversary of three key events in climate change science, Nature Clim. Change, 9, 180-182, doi:10.1038/s41558-019-0424-x.

• Terai, C. R., Y. Zhang, S. A. Klein, M. D. Zelinka, J. C. Chiu, and Q. Min, 2019: Mechanisms behind the extratropical stratiform low‐cloud optical depth response to temperature in ARM site observations, J. Geophys. Res., 124, doi:10.1029/2018JD029359.

• McCoy, D. T., et al. including M. D. Zelinka, 2019: Cloud feedbacks in extratropical cyclones: insight from long-term satellite data and high-resolution global simulations, Atmos. Chem. Phys., 19, 1147-1172, doi:10.5194/acp-19-1147-2019.

• Colman, R., J. R. Brown, C. Franklin, L. Hanson, H. Ye, and M. D. Zelinka, 2019: Evaluating cloud feedbacks and rapid responses in the ACCESS model, J. Geophys. Res., 124, doi:10.1029/2018JD029189.

2018

• Zelinka, M. D., K. M. Grise, S. A. Klein, C. Zhou, A. M. DeAngelis, and M. W. Christensen, 2018: Drivers of the Low Cloud Response to Poleward Jet Shifts in the North Pacific in Observations and Models, J. Climate, 31, 7925–7947, doi:10.1175/JCLI-D-18-0114.1.

• Santer, B. D., et al including M. D. Zelinka, 2018: Human influence on the seasonal cycle of tropospheric temperature, Science, 361, eaas8806, doi:10.1126/science.aas8806.

• Caldwell, P. M., M. D. Zelinka, and S. A. Klein, 2018: Evaluating Emergent Constraints on Equilibrium Climate Sensitivity, J. Climate, 31, 3921-3942, 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, 31, 3187–3206, 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.

2017

• 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 models, Geosci. 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, 2174–2189, doi:10.1002/2017MS001096.
  Download the Green’s functions

• 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.

2016

• 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.
  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., 43, 9259–9269, 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, 9696–9716, 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 oscillation, Geophys. Res. Lett., 43, 1349–1356, 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.

2015

• 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, 10,463–10,469, 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
  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 Southern Ocean 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, 500–509, 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, 9166–9173, doi:10.1002/2014GL062095.

2014

• 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.
  Approximate Partial Radiative Perturbation (APRP) code

• 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.

2013

• 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 Hemisphere, Geophys. 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 CMIP5, J. 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 data, J. 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 simulator, J. 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 models, J. Geophys. Res., 118, 1139-1150. doi: 10.1002/jgrd.50174.

2012

• Zelinka, M. D., S. A. Klein, and D. L. Hartmann, 2012: Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels, J. 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 Depth, J. 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 Climate, J. Climate, 25, 608-624, doi:10.1175/JCLI-D-11-00096.1.

2011

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

2010

• 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.

2009

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