Select Publications

Full list can be found in CV. Contact me for pdfs that don't appear here.

Feingold, G., V. Ghate, L. M. Russell, P. Blossey, W. Cantrell, M. W. Christensen, M. S. Diamond, A. Gettelman, F. Glassmeier, E. Gryspeerdt, J. Haywood, F. Hoffmann, C. M. Kaul, M. Lebsock, A. C. McComiskey, D. T. McCoy, Y. Ming, J. Muelmenstaedt, A. Possner, P. Prabhakaran, P. K. Quinn, K. S. Schmidt, R. A. Shaw, C. E. Singer, A. Sorooshian, V. Toll, J. S. Wan, R. Wood, F. Yang, J. Zhang, and X. Zheng, 2024: Physical Science Research needed to evaluate the viability and risks of Marine Cloud Brightening, Science Advances, doi:10.1126/sciadv.adi8594.

Feingold, G., and I. Koren, 2023: Top-down approaches to the study of cloud systems, Chapter 13 in Fast Processes in Large-Scale Atmospheric Models: Progress, Challenges, and Opportunities. American Geophysical Union, ISBN: 978-1-119-52899-9.

Prabhakaran, P., F. Hoffmann, and G. Feingold, 2024: Effect of Intermittent Aerosol Forcing on the Stratocumulus-to-Cumulus Transition. Atmos. Chem. Phys., doi:10.5194/acp-24-1919-2024.

Hoffmann, F., F. Glassmeier, T. Yamaguchi, and G. Feingold, 2023: On the roles of precipitation and entrainment in stratocumulus transitions between mesoscale states. J. Atmos. Sci., doi:10.1175/JAS-D-22-0268.1.

Zhou, X., and G. Feingold, 2023: Impacts of mesoscale cloud organization on aerosol-induced cloud water adjustment and cloud brightness. Geophys. Res. Lett., doi:10.1029/2023GL103417.

Hoffmann, F., and G. Feingold, 2023: A note on aerosol processing by droplet collision-coalescence. Geophys. Res. Lett., doi:10.1029/2023GL103716.

Kahn, R. A., E. Andrews, C. A. Brock, M. Chin, G. Feingold, A. Gettelman, R. C. Levy, D. M. Murphy, A. Nenes, J. R. Pierce, T. Popp, J. Redemann, A. M. Sayer, A. da Silva, L. Sogacheva, and P. Stier., 2023: Reducing Aerosol Forcing Uncertainty By Combining Models with Satellite and Aircraft plus Surface-based Observations: A Three-Way Street. Rev. Geophys., doi:10.1029/2022RG000796.

Stier, P., S. C. van den Heever, M. Christensen, E. Gryspeerdt, G. Dagan, M. Bollasina, L. Donner, K. Emanuel, A. Ekman, G. Feingold, P. Field, P. Forster, J. Haywood, R. Kahn, I. Koren, C. Kummerow, T. L'Ecuyer, U. Lohmann, Y. Ming, G. Myhre, J. Quaas, D. Rosenfeld, B. Samset, A. Seifert, G. Stephens, W.-K. Tao, 2023: Multifaceted aerosol effects on precipitation. Nature Geo., accepted pending revisions.

Chen, H., Schmidt, K. S., Massie, S. T., Nataraja, V., Norgren, M. S., Gristey, J. J., Feingold, G., Holz, R. E., and Iwabuchi, H., 2023: The Education and Research 3D Radiative Transfer Toolbox (EaR3T) - towards the mitigation of 3D bias in airborne and space-borne passive imagery cloud retrievals, Atmos. Meas. Tech., doi:10.5194/amt-16-1971-2023.

Prabhakaran, P., F. Hoffmann, and G. Feingold, 2023: Impact of pulse aerosol forcing on marine stratocumulus clouds in the context of marine cloud brightening. J. Atmos. Sci., doi:10.1175/JAS-D-22-0207.1.

Zhang, J. and G. Feingold, 2023: Distinct regional meteorological influences on low cloud albedo susceptibility over global marine stratocumulus regions, Atmos. Chem. Phys., doi:10.5194/acp-23-1073-2023.

Narenpitak, P., J. Kazil, T. Yamaguchi, P. Quinn, and G. Feingold, 2022: The Sugar-to-Flower Shallow Cumulus Transition Under the Influences of Diurnal Cycle and Free-Tropospheric Mineral Dust, J. Adv. Model. Earth Syst., doi:10.1029/2022MS003228.

Goren, T., G. Feingold, E. Gryspeerdt, J. Kazil, J. Kretzschmar, H. Jia, and J. Quaas, 2022: Projecting stratocumulus transitions on the albedo–cloud fraction relationship reveals lin- earity of albedo to droplet concentrations, Geophys. Res. Lett., doi:10.1029/2022GL101169.

Diamond, M. S., P. E. Saide, P. Zuidema, A. S. Ackerman, S. J. Doherty, A. M. Fridlind, H. Gordon, C. Howes, J. Kazil, T. Yamaguchi, J. Zhang, G. Feingold, and R. Wood, 2022: Cloud adjustments from large-scale smoke-circulation interactions strongly modulate the southeast Atlantic stratocumulus-to-cumulus transition, Atmos. Chem. Phys., doi:10.5194/acp-22-12113-2022.

Nataraja, V., K. S., Schmidt, H. Chen, T. Yamaguchi, J. Kazil, G. Feingold, K. Wolf, and H. Iwabuchi, 2022: Segmentation-Based Multi-Pixel Cloud Optical Thickness Retrieval Using a Convolutional Neural Network, Atmos. Meas. Tech., doi:10.5194/amt-15-5181-2022.

Gryspeerdt, E., F. Glassmeier, G. Feingold, F. Hoffmann, and R. J. Murray-Watson, 2022: Observing short timescale cloud development to constrain aerosol-cloud interactions, Atmos. Chem. Phys., doi:10.5194/acp-22-11727-2022.

Diamond, M. S., J. J. Gristey, J. E. Kay, and G. Feingold, 2022: Anthropogenic aerosol and cryosphere changes drive Earth’s strong but transient clear-sky hemispheric albedo asymmetry, Nature Communications Earth & Environment, doi:10.1038/s43247-022-00546-y.

Yang, C. K., J. C. Chiu, A. Marshak, G. Feingold, T. Varnai, G. Wen, T. Yamaguchi, P. J. van Leeuwen, 2022: Near-Cloud Aerosol Retrieval using Machine Learning Techniques, and Implied Direct Radiative Effects, Geophys. Res. Lett., doi:10.1029/2022GL098274.

Hoffmann, F., B. Mayer, and G. Feingold, 2022: A parameterization of interstitial aerosol optical thickness and its application to marine cloud brightening, J. Atmos. Sci., doi:10.1175/JAS-D-22-0047.1.

Gristey, J. J., G. Feingold, K. S. Schmidt, and H. Chen, 2022: Influence of Aerosol Embedded in Shallow Cumulus Cloud Fields on the Surface Solar Irradiance., J. Geophys. Res., doi:10.1029/2022JD036822.

Feingold, G., T. Goren, and T. Yamaguchi, 2022: Quantifying albedo susceptibility biases in shallow clouds. Atmos. Chem. Phys., doi:10.5194/acp-22-3303-2022.

Gettelman, A., A. J. Geer, R. M. Forbes, G. R. Carmichael, G, Feingold, D. J. Posselt, G. L. Stephens, S. C. van den Heever, A. C. Varble, P. Zuidema, 2022: The Future of Earth System Prediction: Advances in Model-Data Fusion, Science Advances, doi:10.1126/sciadv.abn3488.

Christensen, M., Gettelman, A., Cermak, J., Dagan, G., Diamond, M., Douglas, A., Feingold, G., Glassmeier, F., Goren, T., Grosvenor, D., Gryspeerdt, E., Kahn, R., Li, Z., Ma, P.-L., Malavelle, F., McCoy, I., McCoy, D., McFarquhar, G., Mulmenstadt, J., Pal, S., Possner, A., Povey, A., Quaas, J., Rosenfeld, D., Schmidt, A., Schrodner, R., Sorooshian, A., Stier, P., Toll, V., Watson-Parris, D., Wood, R., Yang, M., and Yuan, T., 2022: Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.

Diamond. M. S., A. Gettelman, M. Lebsock, A. McComiskey, L. M. Russell, R. Wood, and G. Feingold, 2022: Opinion: To assess marine cloud brightening's technical feasibility, we need to know what to study - and when to stop, Proc. Nat. Acad. Sci., doi:10.1073/pnas.2118379119.

Zhang, J., X. Zhou, T. Goren, and G. Feingold, 2022: Albedo susceptibility of Northeastern Pacific stratocumulus: the role of covarying meteorological conditions, Atmos. Chem. Phys., doi:10.5194/acp-22-861-2022.

Zhou, X., J. Zhang, and G. Feingold, 2021: Sea surface temperature control on the brightness of marine clouds over the North Atlantic Ocean, Geophys. Res. Lett., doi:10.1029/2021GL095896.

Yoshida, R., T. Yamaguchi, and G. Feingold, 2021: Two-Dimensional Idealized Hadley Circulation Simulation for Global High Resolution Model Development, J. Adv. Model. Earth Syst., doi:10.1029/2021MS002714.

Hoffmann, F., and G. Feingold, 2021: Cloud Microphysical Implications for Marine Cloud Brightening: The Importance of the Seeded Particle Size Distribution, J. Atmos. Sci., doi:10.1175/JAS-D-21-0077.1.

Kazil, J., M. Christensen, S. J. Abel, T. Yamaguchi, and G. Feingold, 2021: Realism of Lagrangian large eddy simulations driven by reanalysis meteorology: Tracking a pocket of open cells under a biomass burning aerosol layer, J. Adv. Model. Earth Syst., doi:10.1029/2021MS002664.

Pincus, R., Fairall, C. W., Bailey, A., Chen, H., Chuang, P. Y., de Boer, G., Feingold, G., Henze, D., Kalen, Q. T., Kazil, J., Leandro, M., Lundry, A., Moran, K., Naeher, D. A., Noone, D., Patel, A. J., Pezoa, S., PopStefanija, I., Thompson, E. J., Warnecke, J., and Zuidema, P., 2021: Observations from the NOAA P-3 aircraft during ATOMIC, Earth Syst. Sci. Data, doi:10.5194/essd-13-3281-2021.

Stevens, B., et al., 2021: EUREC4A, Earth Syst. Sci. Data, doi:10.5194/essd-13-4067-2021.

Chen, Y.-S., T. Yamaguchi, P. A. Bogenschutz, and G. Feingold, 2021: Model evaluation and intercomparison of marine warm low cloud fractions with neural network ensembles, J. Adv. Model. Earth Syst., doi:10.1029/2021MS002625.

Narenpitak, P., J. Kazil, T. Yamaguchi, P. Quinn, and G. Feingold, 2021: From sugar to flowers: A transition of shallow cumulus organization during ATOMIC. J. Adv. Model. Earth Syst., doi:10.1029/2021MS002619.

Gettelman, A., G. R. Carmichael, G. Feingold, A. M. Da Silva and S. C. Van den Heever, 2021: Confronting Future Models with Future Satellite Observations of Clouds and Aerosols. Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-21-0029.1.

Glassmeier, F., F. Hoffmann, J. S. Johnson, T. Yamaguchi, K. S. Carslaw, and G. Feingold, 2021: Ship-track-based assessments overestimate the cloud-mediated cooling effect of anthropogenic aerosol, Science, doi:10.1126/science.abd3980.

Chiu, J. C., K. Yang, P. J. van Leeuwen, G. Feingold, R. Wood, Y. Blanchard, F. Mei, and J. Wang, 2020: Observational constraints on warm cloud microphysical processes using machine learning and optimization techniques, Geophys. Res. Lett., doi:10.1029/2020GL091236.

Quaas, J., A. Arola, B. Cairns, M. Christensen, H. Deneke, A.M.L. Ekman, G. Feingold, A. Fridlind, E. Gryspeerdt, O. Hasekamp, Z. Li, A. Lipponen, P.-L. Ma, J. Muelmenstaedt, A. Nenes, J. Penner, D. Rosenfeld, R. Schrodner, K. Sinclair, O. Sourdeval, P. Stier, M. Tesche, B. van Diedenhoven, and M. Wendisch, 2020: Constraining the Twomey effect from satellite observations: Issues and perspectives, Atmos. Chem. Phys., doi:10.5194/acp-2020-279.

Riihimaki, L.D., C. Flynn, A. McComiskey, D. Lubin, Y. Blanchard, J.C. Chiu, G. Feingold, D.R. Feldman, J.J. Gristey, C. Herrera, G. Hodges, E. Kassianov, S.E. LeBlanc, A. Marshak, J.J. Michalsky, P. Pilewskie, S. Schmidt, R.C. Scott, Y. Shea, K. Thome, R. Wagener, and B. Wielicki, 2020: The shortwave spectral radiometer for atmospheric science: New capabilities, applications, and experience from the ARM user facility, Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-19-0227.1.

Shaw, R. A., W. Cantrell, S. Chen, P. Y. Chuang, N. Donahue, G. Feingold, P.Kollias, A. Korolev, S. Kreidenweis, S. Krueger, J. P. Mellado, D. Niedermeier, and L. Xue, 2020: Cloud-Aerosol-Turbulence Interactions: Science Priorities and Concepts for a Large-Scale Laboratory Facility, Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-20-0009.1

Gristey, J. J., G. Feingold, I. B. Glenn, K. S Schmidt, and H. Chen, 2020: On the relationship between shallow cumulus cloud field properties and surface solar irradiance. Geophys. Res. Lett., doi:10.1029/2020GL090152.

Glenn, I. B., G. Feingold, J. J. Gristey, and T. Yamaguchi, 2020: Quantification of the radiative effect of aerosol-cloud-interactions in shallow continental cumulus clouds. J. Atmos. Sci., doi:10.1175/JAS-D-19-0269.1.

Gristey, J. J., G. Feingold, I. B. Glenn, K. S Schmidt, and H. Chen, 2020: Surface solar irradiance in continental shallow cumulus fields: Observations and large eddy simulation. J. Atmos. Sci., doi:10.1175/JAS-D-19-0261.1.

Hoffmann, F., F. Glassmeier, T. Yamaguchi, and G. Feingold, 2020: Liquid Water Path Steady States in Stratocumulus: Insights From Process-Level Emulation and Mixed- Layer Theory. J. Atmos. Sci., doi:10.1175/JAS-D-19-0241.1.

Lunderman, S., M. Morzfeld, F. Glassmeier, and G. Feingold, 2020: Estimating parameters of the nonlinear cloud and rain equation from large-eddy simulations, Physica D, doi:10.1016/j.physd.2020.132500.

Goren, T., J. Kazil, F. Hoffmann, T. Yamaguchi, and G. Feingold, 2019: Anthropogenic air pollution delays marine stratocumulus break-up to open-cells, Geophys. Res. Lett., doi:10.1029/2019GL085412.

Yamaguchi, T., G. Feingold, and J. Kazil, 2019: Aerosol-cloud interactions in trade wind cumulus clouds and the role of vertical wind shear, J. Geophys. Res., doi:10.1029/2019JD031073.

Bellouin, N., J. Quaas, E. Gryspeerdt, S. Kinne, P. Stier, D. Watson-Parris, O. Boucher, K.S. Carslaw, M. Christensen, A.-L. Daniau, J.-L. Dufresne, G. Feingold, S. Fiedler, P. Forster, A. Gettelman, J. M. Haywood, F. Malavelle, U. Lohmann, T. Mauritsen, D.T. McCoy, G. Myhre, J. Mülmenstädt, D. Neubauer, A. Possner, M. Rugenstein, Y. Sato, M. Schulz, S. E. Schwartz, O. Sourdeval, T. Storelvmo, V. Toll, D. Winker, and B. Stevens, 2019: Bounding aerosol radiative forcing of climate change, Rev. Geophysics, doi:10.1029/2019RG000660.

Pope, C. A., J. P. Gosling, S. Barber, J. Johnson, T. Yamaguchi, G. Feingold, and P. G. Blackwell, 2019: Gaussian process modeling of heterogeneity and discontinuities using Voronoi tessellations, Technometrics, doi:10.1080/00401706.2019.1692696.

Hoffmann, F., and G. Feingold, 2019: Entrainment and mixing in stratocumulus: Effects of a new explicit subgrid-scale scheme for large-eddy simulations with particle-based microphysics, J. Atmos. Sci., doi:10.1175/JAS-D-18-0318.1.

Glassmeier, F., Hoffmann, F., Johnson, J. S., Yamaguchi, T., Carslaw, K. S., and Feingold, G., 2019: An emulator approach to stratocumulus susceptibility, Atmos. Chem. Phys., doi:10.5194/acp-2018-1342.

Witte, M., P. Y. Chuang; O. Ayala, L.-P. Wang, and G. Feingold, 2019: Comparison of observed and simulated drop size distributions from large eddy simulations with bin microphysics, Monthly. Wea. Rev., doi:10.1175/MWR- D-18-0242.1.

Klinger, C., G. Feingold, and T.Yamaguchi, 2019: Cloud Droplet Growth in Shallow Cumulus Clouds Considering 1D and 3D Thermal Radiative Effects, Atmos. Chem. Phys., doi:10.5194/acp-19-6295-2019.

Hoffmann, F., T. Yamaguchi, and G. Feingold, 2018: Inhomogeneous mixing in Lagrangian cloud models: Effects on the production of precipitation embryos, J. Atmos. Sci., doi:10.1175/JAS-D-18-0087.1.

Dagan, G., I. Koren, O. Altaratz, and G. Feingold, 2018: Feedbacks of warm convective clouds in a warmer climate as demonstrated by changes in buoyancy, Env. Res. Lett., doi:10.1088/1748-9326/aac178.

Grosvenor, D., et al., 2018: Remote sensing of droplet number concentration in warm clouds: A review of the current state of knowledge and perspectives, Reviews of Geophysics, doi:10.1029/2017RG000593.

Muelmenstaedt, J., and G. Feingold, 2018: The Radiative Forcing of Aerosol-Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty, Current Climate Change Reports, Springer Verlag, doi:10.1007/s40641-018-0089-y.

Maahn, M., G. de Boer, J. M. Creamean, G. Feingold, G. M. McFarquhar, W. Wu, and F. Mei, 2017: The observed influence of local anthropogenic pollution on northern Alaskan cloud properties, Atmos. Chem. Phys., doi:10.5194/acp-17-14709-2017.

Yamaguchi, T., G. Feingold, and J. Kazil, 2017: Stratocumulus to cumulus transition by drizzle, J. Adv. Model. Earth Syst., doi:10.1002/2017MS001104.

Kazil, J., T. Yamaguchi, and G. Feingold, 2017: Mesoscale organization, entrainment, and the properties of a closed-cell stratocumulus cloud, J. Adv. Model. Earth Syst., doi:10.1002/2017MS001072.

Glassmeier, F., and G. Feingold, 2017: Network approach to patterns in stratocumulus clouds, Proc. Natl. Acad. Sci., doi:10.1073/pnas.1706495114.

Feingold, G., J. Balsells, F. Glassmeier, T. Yamaguchi, J. Kazil, and A. McComiskey, 2017: Analysis of Albedo vs. Cloud Fraction Relationships using Heuristic models and Large Eddy Simulation, J. Geophys. Res., doi:10.1002/2017JD026467.

Yamaguchi, T., G. Feingold, and V. Larson, 2017: Framework for Improvement by Vertical Enhancement: A Simple Approach to Improve Representation of Low and High Level Clouds in Large Scale Models, J. Adv. Model. Earth Syst., doi:10.1002/2016MS000815.

Koren, I., E. Tziperman, and G. Feingold, 2017: Exploring the non-linear cloud and rain equation, Chaos, 27, doi:10.1063/1.4973593.

Sena, E. T., A. McComiskey, and G. Feingold, 2016: A long-term study of aerosol-cloud interactions and their radiative effect at the Southern Great Plains using ground-based measurements, Atmos. Chem. Phys., doi:10.5194/acp-16-11301-2016.

Feingold, G., A. McComiskey, T. Yamaguchi, J. Johnson, K. Carslaw and K. S. Schmidt, 2016: New approaches to quantifying aerosol influence on the cloud radiative effect, Proc. Nat. Acad. Sci., doi:10.1073/pnas.1514035112.

Seinfeld, J. H., C. S. Bretherton, K. S. Carslaw, H. Coe, P. J. DeMott, E. J. Dunlea, G. Feingold, S. J. Ghan, A. B. Guenther, R. A. Kahn, I. P. Kraucunas, S. M. Kreidenweis, M. J. Molina, A. Nenes, J. E. Penner, K. A. Prather, V. Ramanathan, V. Ramaswamy, P. J. Rasch, A.R. Ravishankara, D. Rosenfeld, G. Stephens, R. Wood, 2016: Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system, Proc. Natl. Acad. Sci., doi:10.1073/pnas.1514043113

Kazil, J., G. Feingold and T. Yamaguchi, 2016: Wind speed response of marine non- precipitating stratocumulus clouds over a diurnal cycle in cloud-system resolving simulations, Atmos. Chem. Phys., doi:10.5194/acp-16-5811-2016

Yamaguchi, T. and G. Feingold, 2015: On the relationship between open cellular convective cloud patterns and the spatial distribution of precipitation, Atmos. Chem. Phys., doi:10.5194/acp-15-1237-2015

Yamaguchi, T., G. Feingold, J. Kazil, and A. McComiskey, 2015: Stratocumulus to cumulus transition in the presence of elevated smoke layers, Geophys. Res. Lett., doi:10.1002/2015GL066544

Solomon, A., G. Feingold, and M. D. Shupe, 2015: The role of ice nuclei recycling in the maintenance of cloud ice in Arctic mixed-phase stratocumulus, Atmos. Chem. Phys., doi:10.5194/acp-15-10631-2015

Lebo, Z. J., C. R. Williams, G. Feingold, and V. Larson, 2015: Parameterization of the spatial variability of rain for large-scale models and remote sensing, J. Appl. Meteor. Clim., doi:10.1175/JAMC-D-15-0066.1

Feingold, G., I. Koren, T. Yamaguchi, and J. Kazil, 2015: On the reversibility of transitions between closed and open cellular convection, Atmos Chem. Phys., doi:10.5194/acp-15-7351-2015

Fielding, M. D., J. C. Chiu, R. J. Hogan, G. Feingold, E. Eloranta, E. J. O'Connor, and M. P. Cadeddu, 2015: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances, Atmos. Meas. Tech., doi:10.5194/amt-8-2663-2015

Lee, S.-S., G. Feingold. A. C. McComiskey, T. Yamaguchi, I. Koren, J. V. Martins and H. Yu, 2014: Effect of gradients in biomass burning aerosol on circulations and clouds, J. Geophys. Res., doi:10.1002/2014JD021819

Lebo, Z. J., and G. Feingold, 2014: On the relationship between responses in cloud water and precipitation to changes in aerosol, Atmos. Chem. Phys., doi:10.5194/acp-14-11817-2014

Fielding, M. D., J. C. Chiu, R. Hogan, and G. Feingold, 2014: A novel ensemble method for retrieving cloud properties in 3D using ground-based scanning radar and zenith radiances, J. Geophys. Res., doi:10.1002/2014JD021742

Seidel, D.J., G. Feingold, A. R. Jacobson, and N. Loeb, 2014: Detection limits of albedo changes induced by climate engineering, Nature Climate Change, doi:10.1038/nclimate2076

Mechoso, C. R., R. Wood, R. Weller, C. S. Bretherton, A. D. Clarke, H. Coe, C. Fairall, J. T. Farrar, G. Feingold, R. Garreaud, C. Grados, J. McWilliams, S. P. de Szoeke, S. E. Yuter, P. Zuidema, 2013: Ocean-Cloud-Atmosphere-Land Interactions in the Southeastern Pacific: The VOCALS Program, Bulletin Amer. Meteor. Soc., doi:10.1175/BAMS-D-11-00246.1

Witte, M. K., P. Y. Chuang, and G. Feingold, 2014: On clocks and clouds, Atmos. Chem. Phys., 14, 6729-6738, doi:0.5194/acp-14-6729-2014

Feingold, G., A. McComiskey, D. Rosenfeld, and A. Sorooshian, 2013: On the relationship between cloud contact time and precipitation susceptibility to aerosol, J. Geophys. Res., doi:10.1002/jgrd.50819

Feingold, G., and I. Koren, 2013: A model of coupled oscillators applied to the aerosol- cloud-precipitation system, Nonlinear Processes in Geophysics, doi:10.5194/npg-20-1011-2013

Yamaguchi, T., Wm. A. Brewer, and G. Feingold, 2013: New Approaches to Large Eddy Simulation Evaluation Based on Ship-Borne Data, J. Atmos. Sci., doi:10.1175/JAS-D-13-050.1

Koren, I., and G. Feingold, 2013: Adaptive behavior of marine clouds, Nature Sci. Rep., doi:10.1038/srep02507

Kazil, J., G. Feingold, H. Wang, and T. Yamaguchi, 2013: On the interaction between marine boundary layer cellular cloudiness and surface heat fluxes, doi:10.5194/acp-14-61-2014

Ervens, B., and G. Feingold, 2013: Sensitivities of immersion freezing: Reconciling classical nucleation theory and deterministic expressions, Geophys. Res. Lett., doi:10.1002/grl.50580

Yamaguchi, T., and G. Feingold, 2013: On the size distribution of cloud holes in stratocumulus and their relationship to cloud-top entrainment, Geophys. Res. Lett., doi:10.1002/grl.50442

Ervens, B. and G. Feingold, 2012: On the representation of immersion and condensation freezing in cloud models using different nucleation schemes, Atmos. Chem. Phys., doi:10.5194/acp-12-5807-2012

Lee, S.-S., G. Feingold, and P. Y. Chuang, 2012: Effect of aerosol on cloud-environment interactions in trade cumulus, J. Atmos. Sci., doi:10.1175/JAS-D-12-026.1

McComiskey, A. M., and G. Feingold, 2012: The scale problem in quantifying aerosol indirect effects, Atmos. Chem. Phys., doi:10.5194/acp-12-1031-2012

Koren, I., and G. Feingold, 2011: The aerosol-cloud-precipitation system as a predator-prey problem, Proc. Nat. Acad. Sci., doi:10.1073/pnas.1101777108

Kazil, J., H. Wang, G. Feingold, A. D. Clarke, J. R. Snider, and A. R. Bandy, 2011: Chemical and aerosol processes in the transition from closed to open cells during VOCALS-REx, Atmos. Chem. Phys., doi:10.5194/acp-11-7491-2011

Feingold, G., I. Koren, H. Wang, H. Xue, and W. A. Brewer, 2010: Precipitation-generated oscillations in open cellular cloud fields, Nature, doi:10.1038/nature09314

Lee, S.-S., and G. Feingold, 2010: Precipitating cloud-system response to aerosol perturbations, Geophys. Res. Lett., doi:10.1029/2010GL045596

Wang, H., G. Feingold, R. Wood, and J. Kazil, 2010: Modelling microphysical and meteorological controls on precipitation and cloud cellular structures in Southeast Pacific stratocumulus, Atmos. Chem. Phys., doi:10.5194/acp-10-6347-2010

Jiang, H., G. Feingold, and A. Sorooshian, 2010: Effect of aerosol on the susceptibility and efficiency of precipitation in warm trade cumulus clouds, J. Atmos. Sci., doi:10.1175/2010JAS3484.1

Stevens, B., and G. Feingold, 2009: Untangling aerosol effects on clouds and precipitation in a buffered system, Nature, doi:10.1038/nature08281

Sorooshian A., G. Feingold, M. D. Lebsock, H. Jiang, G. L. Stephens, 2009: On the precipitation susceptibility of clouds to aerosol perturbations, Geophys. Res. Lett., doi:10.1029/2009GL038993

Feingold, G., and H. Siebert, Cloud-aerosol interactions from the micro to the cloud scale. Chapter 14 in Strungmann Forum report, vol. 2. Cambridge, MA: The MIT press.

Small, J. D., P. Y. Chuang, G. Feingold, and H. Jiang, 2009: Can aerosol decrease cloud lifetime? Geophys. Res. Lett., doi:10.1029/2009GL038888

Schmidt, K. S., G. Feingold, H. Jiang, M. Wendisch, O. Coddington, and P. Pilewskie, 2009: Irradiance in polluted cumulus fields: Measured and modeled cloud-aerosol effects, Geophys. Res. Lett., doi:10.1029/2008GL036848

McComiskey. A. M., G. Feingold. A. S. Frisch, D. D. Turner, M. A. Miller, J. C. Chiu, Q. Min, and J. A. Ogren, 2009: An assessment of aerosol-cloud interactions in marine stratus clouds based on surface remote sensing, J. Geophys. Res., doi:10.1029/2008JD011006

Jiang, H., G. Feingold, and I. Koren, 2009: Effect of aerosol on cumulus cloud morphology. J. Geophys. Res., doi:10.1029/2009JD011750

Wang H., and G. Feingold, 2009: Modeling mesoscale cellular structures and drizzle in marine stratocumulus. Part 1: Impact of drizzle on the formation and evolution of open cells, J. Atmos. Sci., doi:10.1175/2009JAS3022.1

Wang H., and G. Feingold, 2009: Modeling mesoscale cellular structure and drizzle in marine stratocumulus. Part 2: The microphysics and dynamics of the boundary region between open and closed cells, J. Atmos. Sci., doi:10.1175/2009JAS3120.1

Jiang, H., G. Feingold, H. Jonsson, M.-L. Lu, P. Y. Chuang R. C. Flagan, J. H. Seinfeld, 2008: Statistical comparison of properties of simulated and observed cumulus clouds in the vicinity of Houston during the Gulf of Mexico Atmospheric Composition and Climate Study (GoMACCS), J. Geophys. Res., doi:10.1029/2007JD009304

Lu, M.-L., G. Feingold, H. H. Jonsson, P. Y. Chuang, H. Gates, R. C. Flagan, and J. H. Seinfeld, 2008: Aerosol-cloud relationships in continental shallow cumulus, J. Geophys. Res., doi:10.1029/2007JD009354

Xue, H., and G. Feingold, 2006: Large eddy simulations of trade-wind cumuli: Investigation of aerosol indirect effects, J. Atmos. Sci., doi:10.1175/JAS3706.1

Feingold, G., and B. Morley, 2003: Aerosol hygroscopic properties as measured by lidar and comparison with in-situ measurements, J. Geophys. Res., doi:10.1029/2002JD002842

Feingold, G., W. L. Eberhard. D. E. Veron, and M. Previdi, 2003: First measurements of the Twomey aerosol indirect effect using ground-based remote sensors, Geophys. Res. Lett., doi:10.1029/2002GL016633

Feingold, G., and S. M. Kreidenweis, 2002: Cloud processing of aerosol as modeled by a large eddy simulation with coupled microphysics and aqueous chemistry, J. Geophys. Res., doi:10.1029/2002JD002054

Feingold, G., W. R. Cotton, S. M. Kreidenweis, and J. T. Davis, 1999: Impact of giant cloud condensation nuclei on drizzle formation in marine stratocumulus: Implications for cloud radiative properties, J. Atmos. Sci., 56, 4100-4117

Feingold, G., S. M. Kreidenweis, B. Stevens, and W. R. Cotton, 1996: Numerical simulation of stratocumulus processing of cloud condensation nuclei through collision-coalescence, J. Geophys. Res, 101, 21391-21402, doi:10.1029/96JD01552

Feingold, G., B. Stevens, W. R. Cotton, and A. S. Frisch, 1996: The relationship between drop in-cloud residence time and drizzle production in numerically stimulated stratocumulus clouds, J. Atmos. Sci., doi:doi.org/10.1175/1520-0469(1996)053<1108:TRBDIC>2.0.CO;2

Tzivion, S., G. Feingold and Z. Levin, 1987: An efficient numerical solution to the stochastic collection equation, J. Atmos. Sci., doi:10.1175/1520-0469(1987)044<3139:AENSTT>2.0.CO;2.