Author Bibliographies
Publications by Andrew S. Ackerman
This citation list includes papers published while the author has been on staff at the NASA Goddard Institute for Space Studies. It may include some publications based on research conducted prior to their having joined the institute staff.
Submitted / In Review
Using machine learning to generate a GISS ModelE calibrated physics ensemble (CPE). J. Adv. Model. Earth Syst., submitted.
, , Q. Yang, , , , , , , A. Behrangi, S.J. Camargo, , , , and J.D.O. Strong, 2024:Warm-phase microphysical evolution in large eddy simulations of tropical cumulus congestus: Constraining drop size distribution evolution using polarimetery retrievals and a thermal-based framework. Atmos. Chem. Phys., submitted.
, , , B. van Diedenhoven, Q. Xiao, J. Wang, T. Matsui, D. Hernandez-Deckers, and P. Lawson, 2024:Measurement report: A survey of meteorological and cloud properties during ACTIVATE's postfrontal flights and their suitability for Lagrangian case studies. Atmos. Chem. Phys., submitted.
, , , , , S. Chellappan, D. Painemal, P. Zuidema, C. Voigt, S. Kirschler, and A. Sorooshian, 2024:In Press / Accepted
Mülmenstädt, J., Can GCMs represent cloud adjustments to aerosol-cloud interactions? Atmos. Chem. Phys., accepted.
, , M. Huang, P.-L. Ma, N. Mahfouz, , S.M. Burrows, M.W. Christensen, S. Dipu, A. Gettelman, L.R. Leung, , J. Quaas, A.C. Varble, H. Wang, K. Zhang, and Y. Zheng, 2024:2024
Observational constraint on a feedback from supercooled clouds reduces projected warming uncertainty. Commun. Earth Environ., 5, 181, doi:10.1038/s43247-024-01339-1.
, , , I. Silber, , M. Zelinka, H. Chepfer, T. Khadir, and R. Roehrig, 2024:Cloud-radiation interactions and cloud-climate feedbacks from an active-sensor satellite perspective. In Clouds and Their Climatic Impact: Radiation, Circulation, and Precipitation. S. Sullivan and C. Hoose, Eds., Geophysical Monograph Series, vol. 281, American Geophysical Union, pp. 87-102, doi:10.1002/9781119700357.ch4.
, , T. Vaillant de Guélis, and D.S. Henderson, 2024:Better constraining supercooled clouds could reduce projected warming spread. In Radiation Processes in the Atmosphere and Ocean, 4–8 July 2022, Thessaloniki, Greece, AIP Conference Proceedings, vol. 2988, AIP Publishing, p. 070009, doi:10.1063/5.0183626.
, , , I. Silber, , M.D. Zelinka, and H. Chepfer, 2024:Mülmenstädt, J., E. Gryspeerdt, S. Dipu, J. Quaas, General circulation models simulate negative liquid water path-droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path. Atmos. Chem. Phys., 24, no. 12, 7331-7345, doi:10.5194/acp-24-7331-2024.
, , , , A. Gettelman, Y. Ming, Y. Zheng, P.-L. Ma, H. Wang, K. Zhang, M.W. Christensen, A.C. Varble, L.R. Leung, X. Liu, D. Neubauer, D.G. Partridge, P. Stier, and T. Takemura, 2024:2023
An observation-based method to assess tropical stratocumulus and shallow cumulus clouds and feedbacks in CMIP6 and CMIP5 models. Environ. Res. Commun., 5, no. 4, 045001, doi:10.1088/2515-7620/acc78a.
, , , R. Pincus, and H. Chepfer, 2023:Knopf, D.A., I. Silber, N. Riemer, A 1D model for nucleation of ice from aerosol particles: An application to a mixed-phase Arctic stratus cloud layer. J. Adv. Model. Earth Syst., 15, no. 10, e2023MS003663, doi:10.1029/2023MS003663.
, and , 2023:Painemal, D., S. Chellappan, W.L. Smith Jr., D. Spangenberg, J.M. Park, Wintertime synoptic patterns of midlatitude boundary layer clouds over the western North Atlantic: Climatology and insights from in-situ ACTIVATE observations. J. Geophys. Res. Atmos., 128, no. 11, e2022JD037725, doi:10.1029/2022JD037725.
, J. Chen, E. Crosbie, R. Ferrare, J. Hair, S. Kirschler, X.-Y. Li, A. McComiskey, R.H. Moore, K. Sanchez, A. Sorooshian, , C. Voigt, H. Wang, E. Winstead, X. Zeng, L. Ziemba, and P. Zuidema, 2023:Earth-system-model evaluation of cloud and precipitation occurrence for supercooled and warm clouds over the Southern Ocean's Macquarie Island. Atmos. Chem. Phys., 23, no. 16, 9037-9069, doi:10.5194/acp-23-9037-2023.
, , I. Silber, , , J. Mülmenstädt, A. Protat, S. Alexander, and A. McDonald, 2023:On the impact of a dry intrusion driving cloud-regime transitions in a mid-latitude cold-air outbreak. J. Atmos. Sci., 80, no. 12, 2881-2896, doi:10.1175/JAS-D-23-0040.1.
, , , , , D. Painemal, and , 2023:2022
Markovian statistical model of cloud optical thickness. Part I: Theory and examples. J. Atmos. Sci., 79, no. 12, 3315-3332, doi:10.1175/JAS-D-22-0125.1.
, A. Marshak, , and , 2022:Diamond, M.S., P.E. Saide, P. Zuidema, Cloud adjustments from large-scale smoke-circulation interactions strongly modulate the southeast Atlantic stratocumulus-to-cumulus transition. Atmos. Chem. Phys., 22, no. 18, 12113-12151, doi:10.5194/acp-22-12113-2022.
, S.J. Doherty, , H. Gordon, C. Howes, J. Kazil, T. Yamaguchi, J. Zhang, G. Feingold, and R. Wood, 2022:Future climate change under SSP emission scenarios with GISS-E2.1. J. Adv. Model. Earth Syst., 14, no. 7, e2021MS002871, doi:10.1029/2021MS002871.
, , , , , , , , , , , , R. Bleck, , , , T.L. Clune, , C.A. Cruz, , , , , D. Kim, , , , , , , S. McDermid, , L.T. Murray, , , C.P. García-Pando, , , , D.T. Shindell, S. Sun, , , , , and , 2022:Silber, I., R.C. Jackson, The Earth Model Column Collaboratory (EMC2) v1.1: An open-source ground-based lidar and radar instrument simulator and subcolumn generator for large-scale models. Geosci. Model Dev., 15, no. 2, 901-927, doi:10.5194/gmd-15-901-2022.
, , S. Collis, J. Verlinde, and J. Ding, 2022:Dilution of boundary layer cloud condensation nucleus concentrations by free tropospheric entrainment during marine cold air outbreaks. Geophys. Res. Lett., 49, no. 11, e2022GL098444, doi:10.1029/2022GL098444.
, , , , E.C. Crosbie, S. Kirschler, R.H. Moore, D. Painemal, C.E. Robinson, C. Seethala, M.A. Shook, C. Voigt, E.L. Winstead, L.D. Ziemba, P. Zuidema, and A. Sorooshian, 2022:2021
Snow reconciles observed and simulated phase partitioning and doubles cloud feedback. Geophys. Res. Lett., 48, no. 20, e2021GL094876, doi:10.1029/2021GL094876.
, , , I. Silber, and , 2021:An evaluation of size-resolved cloud microphysics scheme numerics for use with radar observations. Part II: Condensation and evaporation. J. Atmos. Sci., 78, no. 5, 1629-1645, doi:10.1175/JAS-D-20-0213.1.
, , and , 2021:Marshak, A., Aerosol properties in cloudy environments from remote sensing observations: A review of the current state of knowledge. Bull. Amer. Meteorol. Soc., 102, no. 11, E2177-E2197, doi:10.1175/BAMS-D-20-0225.1.
, A. Da Silva, T. Eck, B. Holben, R. Kahn, R. Kleidman, K. Knobelspiesse, R. Levy, A. Lyapustin, L. Oreopoulos, L. Remer, O. Torres, T. Varnai, G. Wen, and J. Yorks, 2021:CMIP6 historical simulations (1850-2014) with GISS-E2.1. J. Adv. Model. Earth Syst., 13, no. 1, e2019MS002034, doi:10.1029/2019MS002034.
, , , , , , , , , , R. Bleck, , , , T.L. Clune, , C.A. Cruz, , , , , D. Kim, , , , , J. Marshall, , S. McDermid, , L.T. Murray, , , C. Pérez García-Pando, , , , , D.T. Shindell, S. Sun, , , , , , and , 2021:Redemann, J., R. Wood, P. Zuidema, S.J. Doherty, B. Luna, S.E. LeBlanc, M.S. Diamond, Y. Shinozuka, I.Y. Chang, R. Ueyama, L. Pfister, J. Ryoo, A.N. Dobracki, A.M. da Silva, K.M. Longo, M.S. Kacenelenbogen, C.J. Flynn, K. Pistone, N.M. Knox, S.J. Piketh, J.M. Haywood, P. Formenti, M. Mallet, P. Stier, An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: Aerosol-cloud-radiation interactions in the Southeast Atlantic basin. Atmos. Chem. Phys., 21, no. 3, 1507-1563, doi:10.5194/acp-21-1507-2021.
, , , G.R. Carmichael, P.E. Saide, G.A. Ferrada, S.G. Howell, S. Freitag, , B.N. Holben, K.D. Knobelspiesse, S. Tanelli, T.S. L'Ecuyer, A.M. Dzambo, O.O. Sy, G.M. McFarquhar, M.R. Poellot, S. Gupta, J.R. O'Brien, A. Nenes, M.E. Kacarab, J.P.S. Wong, J.D. Small-Griswold, K.L. Thornhill, D. Noone, J.R. Podolske, K.S. Schmidt, P. Pilewskie, H. Chen, S.P. Cochrane, A.J. Sedlacek, T.J. Lang, E. Stith, M. Segal-Rozenhaimer, R.A. Ferrare, S.P. Burton, C.A. Hostetler, D.J. Diner, S.E. Platnick, J.S. Myers, K.G. Meyer, D.A. Spangenberg, H. Maring, and L. Gao, 2021:Russell, L.M., D. Lubin, I. Silber, E. Eloranta, J. Muelmenstaedt, A. Aiken, D. Wang, M. Petters, M. Miller, Eastern Pacific Cloud Aerosol Precipitation Experiment (EPCAPE) Science Plan. DOE/SC-ARM-21-009. U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, doi:10.2172/1804710.
, , M. Witte, M. Lebsock, D. Painemal, R. Chang, J. Liggio, and M. Wheeler, 2021:Silber, I., The prevalence of precipitation from polar supercooled clouds. Atmos. Chem. Phys., 21, no. 5, 3949-3971, doi:10.5194/acp-21-3949-2021.
, J. Verlinde, , , and D.A. Knopf, 2021:Preconditioning of overcast-to-broken cloud transitions by riming in marine cold air outbreaks. Atmos. Chem. Phys., 21, no. 15, 12049-12067, doi:10.5194/acp-21-12049-2021.
, , and , 2021:2020
Vertical profiles of droplet size distributions derived from cloud-side observations by the Research Scanning Polarimeter: Tests on simulated data. Atmos. Res., 239, 104924, doi:10.1016/j.atmosres.2020.104924.
, D.J. Miller, C. Rajapakshe, , , , , and Z. Zhang, 2020:A second-order closure turbulence model: New heat flux equations and no critical Richardson number. J. Atmos. Sci., 77, no. 8, 2743-2759, doi:10.1175/JAS-D-19-0240.1.
, , , , , , , , , and , 2020:GISS-E2.1: Configurations and climatology. J. Adv. Model. Earth Syst., 12, no. 8, e2019MS002025, doi:10.1029/2019MS002025.
, , , , , , , , , R. Bleck, , , , T.L. Clune, , C.A. Cruz, , , , , D. Kim, , , , , J. Marshall, , S. McDermid, , , L.T. Murray, , , C. Pérez García-Pando, , , , , D.T. Shindell, S. Sun, , , , , , and , 2020:Korolev, A., I. Heckman, M. Wolde, A new look at the environmental conditions favorable to secondary ice production. Atmos. Chem. Phys., 20, 1391-1429, doi:10.5194/acp-20-1391-2020.
, , L. Ladino, P. Lawson, J. Milbrandt, and E. Williams, 2020:Silber, I., Non-turbulent liquid-bearing polar clouds: Observed frequency of occurrence and simulated sensitivity to gravity waves. Geophys. Res. Lett., 125, no. 10, e2020GL087099, doi:10.1029/2020GL087099.
, J. Verlinde, L.M. Russell, and , 2020:Global statistics of cloud top ice microphysical and optical properties. J. Geophys. Res. Atmos., 125, no. 6, e2019JD031811, doi:10.1029/2019JD031811.
, , , , and J. Riedi, 2020:2019
Evaluating models' response of tropical low clouds to SST forcings using CALIPSO observations. Atmos. Chem. Phys., 19, 2813-2832, doi:10.5194/acp-19-2813-2019.
, , , , , , , and , 2019:De Roode, S.R., T. Frederikse, A. Siebesma, Turbulent transport in the Gray Zone: A large-eddy model intercomparison study of the CONSTRAIN cold air outbreak case. J. Adv. Model. Earth Syst., 11, no. 3, 597-623, doi:10.1029/2018MS001443.
, J. Chylik, P. Field, J. Fricke, M. Gryschka, A. Hill, R. Honnert, S. Krueger, C. Lac, A.T. Lesage, and L. Tomassini, 2019:An evaluation of size-resolved cloud microphysics scheme numerics for use with radar observations. Part I: Collision-coalescence. J. Atmos. Sci., 76, no. 1, 247-263, doi:10.1175/JAS-D-18-0174.1.
, , and , 2019:Silber, I., Persistent supercooled drizzle at temperatures below -25°C observed at McMurdo Station, Antarctica. J. Geophys. Res. Atmos., 124, no. 20, 10878-10895, doi:10.1029/2019JD030882.
, J. Verlinde, , Y.-S. Chen, D.H. Bromwich, S.-H. Wang, M. Cadeddu, and E.W. Eloranta, 2019:2018
Constraining the models' response of tropical clouds to SST forcings using CALIPSO observations. In Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions VII, 24-26 September 2018, Honolulu, Hawaii. G. Liu and Z.S. Haddad, Eds., Proc. SPIE, vol. 10782, p. 107820A, doi:10.1117/12.2324800.
, , and , 2018:Chen, Y., J. Verlinde, E. Clothiaux, On the forward modeling of radar Doppler spectrum width from LES: Implications for model evaluation. J. Geophys. Res. Atmos., 123, no. 14, 7444-7461, doi:10.1029/2017JD028104.
, , M. Chamecki, P. Kollias, M.P. Kirkpatrick, B.-C. Chen, G. Yu, and A. Avramov, 2018:Chaper 7 — Simulations of Arctic mixed-phase boundary layer clouds: Advances in understanding and outstanding questions. In Mixed-Phase Clouds: Observations and Modeling. C. Andronache, Ed., Elsevier, pp. 153-183, doi:10.1016/B978-0-12-810549-8.00007-6.
, and , 2018:Gao, P., M.S. Marley, and Sedimentation efficiency of condensation clouds in substellar atmospheres. Astrophys. J., 855, no. 2, 86, doi:10.3847/1538-4357/aab0a1.
, 2018:Grosvenor, D.P., O. Souderval, P. Zuidema, Remote sensing of cloud droplet number concentration: Review of current and perspectives for new approaches. Rev. Geophys., 56, no. 2, 409-453, doi:10.1029/2017RG000593.
, , R. Bennartz, R. Boers, , J.C. Chiu, M. Christensen, H. Deneke, M. Diamond, G. Feingold, , A. Hünerbein, C. Knist, P. Kollias, A. Marshak, D. McCoy, D. Merk, D. Painemal, J. Rausch, D. Rosenfeld, H. Russchenberg, P. Seifert, , P. Stier, , M. Wendisch, F. Werner, R. Wood, Z. Zhang, and J. Quaas, 2018:Lamer, K., (GO)2-SIM: A GCM-oriented ground-observation forward-simulator framework for an objective evaluation of cloud and precipitation phase. Geosci. Model Dev., 11, 4195-4214, doi:10.5194/gmd-11-4195-2018.
, , P. Kollias, E.E. Clothiaux, and , 2018:Miller, D.J., Z. Zhang, S.E. Platnick, Comparisons of bispectral and polarimetric cloud microphysical retrievals using LES-Satellite retrieval simulator. Atmos. Meas. Tech., 11, 3689-3715, doi:10.5194/amt-11-3689-2018.
, F. Werner, C. Cornet, and K. Knobelspiesse, 2018:Zhou, X., Simulation of mesoscale cellular convection in marine stratocumulus. Part I: Drizzling conditions. J. Atmos. Sci., 75, 257-274, doi:10.1175/JAS-D-17-0070.1.
, , and P. Kollias, 2018:2017
Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case. Atmos. Chem. Phys., 17, 5947-5972, doi:10.5194/acp-17-5947-2017.
, X. Li, D. Wu, , , W.-K. Tao, G.M. McFarquhar, W. Wu, X. Dong, J. Wang, A. Ryzhkov, P. Zhang, M.R. Poellot, A. Neumann, and J.M. Tomlinson, 2017:Ladino, L.A., A. Korolev, I. Heckman, M. Wolde, On the role of ice-nucleating aerosol in the formation of ice particles in tropical mesoscale convective systems. Geophys. Res. Lett., 44, no. 3, 1574-1582, doi:10.1002/2016GL072455.
, and , 2017:Neggers, R.A.J., Single-column model simulations of subtropical marine boundary-layer cloud transitions under weakening inversions. J. Adv. Model. Earth Syst., 9, no. 6, 2385-2412, doi:10.1002/2017MS001064.
, W.M. Angevine, E. Bazile, I. Beau, P.N. Blossey, I.A. Boutle, C. de Bruijn, A. Cheng, J. van der Dussen, J. Fletcher, S. Dal Gesso, A. Jam, H. Kawai, S. Kumar, V.E. Larson, M.-P. Lefebvre, A.P. Lock, N.R. Meyer, S.R. de Roode, W. de Rooij, I. Sandu, H. Xiao, and K.-M. Xu, 2017:Use of cloud radar Doppler spectra to evaluate stratocumulus drizzle size distributions in large-eddy simulations with size-resolved microphysics. J. Appl. Meteorol. Climatol., 56, no. 12, 3263-3283, doi:10.1175/JAMC-D-17-0100.1.
, , , , P. Kollias, D.B. Mechem, H.E. Chandler, E. Luke, R. Wood, M.K. Witte, P.Y. Chuang, and J.K. Ayers, 2017:Zhang, Z., F. Werner, H.-M. Cho, G. Wind, S.E. Platnick, A framework for quantifying the impacts of sub-pixel reflectance variance and covariance on cloud optical thickness and effective radius retrievals based on the bi-spectral method. In Radiation Processes in the Atmosphere and Ocean (IRS2016): Proceedings of the International Radiation Symposium (IRC/IAMAS), 16-22 April 2016, Auckland, New Zealand, AIP Conference Proceedings, vol. 1810, p. 030002, doi:10.1063/1.4975502.
, L. Di Girolamo, A. Marshak, and K. Meyer, 2017:Zhou, X., Impacts of solar-absorbing aerosol layers on the transition of stratocumulus to trade cumulus clouds. Atmos. Chem. Phys., 17, 12725-12742, doi:10.5194/acp-17-12725-2017.
, , R. Wood, and P. Kollias, 2017:2016
Derivation of cumulus cloud dimensions and shape from the airborne measurements by the Research Scanning Polarimeter. Remote Sens. Environ., 177, 144-152, doi:10.1016/j.rse.2016.02.032.
, , C. Emde, , , and , 2016:Polarized view of supercooled liquid water clouds. Remote Sens. Environ., 181, 96-110, doi:10.1016/j.rse.2016.04.002.
, , , , , M.J. McGill, J.E. Yorks, D.L. Hlavka, S.E. Platnick, and G.T. Arnold, 2016:De Roode, S.R., I. Sandu, J.J. van der Dussen, Large-eddy simulations of EUCLIPSE-GASS Lagrangian stratocumulus-to-cumulus transitions: Mean state, turbulence, and decoupling. J. Atmos. Sci., 73, no. 6, 2485-2508, doi:10.1175/JAS-D-15-0215.1.
, P. Blossey, D. Jarecka, A. Lock, A.P. Siebesma, and B. Stevens, 2016:Derivation of physical and optical properties of midlatitude cirrus ice crystals for a size-resolved cloud microphysics model. Atmos. Chem. Phys., 16, 7251-7283, doi:10.5194/acp-16-7251-2016.
, R. Atlas, , J. Um, G.M. McFarquhar, , E.J. Moyer, and R.P. Lawson, 2016:Miller, D.J., Z. Zhang, The impact of cloud vertical profile on liquid water path retrieval based on the bi-spectral method: A theoretical study based on large-eddy simulations of shallow marine boundary-layer clouds. J. Geophys. Res. Atmos., 121, no. 8, 4122-4141, doi:10.1002/2015JD024322.
, S. Platnick, and B.A. Baum, 2016:Pithan, F., Select strengths and biases of models in representing the Arctic winter boundary layer: The Larcform 1 single column model intercomparison. J. Adv. Model. Earth Syst., 8, no. 3, 1345-1357, doi:10.1002/2016MS000630.
, W.M. Angevine, K. Hartung, L. Ickes, , B. Medeiros, I. Sandu, G.-J. Steeneveld, H. Sterk, G. Svensson, P.A. Vaillancourt, and A. Zadra, 2016:Strapp, J.W., A. Korolev, T. Ratvasky, R. Potts, A. Protat, P. May, The High Ice Water Content Study of Deep Convective Clouds: Report on Science and Technical Plan. DOT/FAA/TC-14/31. Federal Aviation Administration.
, , P. Minnis, J. Haggerty, J.T. Riley, L.E. Lilie, and G.A. Isaac, 2016:On averaging aspect ratios and distortion parameters over ice crystal population ensembles for estimating effective scattering properties. J. Atmos. Sci., 73, no. 2, 775-787, doi:10.1175/JAS-D-15-0150.1.
, , , and , 2016:Vertical variation of ice particle size in convective cloud tops. Geophys. Res. Lett., 43, no. 9, 4586-4593, doi:10.1002/2016GL068548.
, , , , and J. Yorks, 2016:Polarimetric radar signatures of deep convection: Columns of specific differential phase observed during MC3E. Mon. Weather Rev., 144, no. 2, 737-758, doi:10.1175/MWR-D-15-0100.1.
, , , S. Collis, J.J. Helmus, D.R. MacGorman, K. North, P. Kollias, and D.J. Posselt, 2016:Zhang, Z., F. Werner, H.-M. Cho, G. Wind, S.E. Platnick, A framework based on 2-D Taylor expansion for quantifying the impacts of sub-pixel reflectance variance and covariance on cloud optical thickness and effective radius retrievals based on the bispectral method. J. Geophys. Res. Atmos., 121, no. 12, 7007-7025, doi:10.1002/2016JD024837.
, L. Di Girolamo, A. Marshak, and K.G. Meyer, 2016:2015
High ice water content at low radar reflectivity near deep convection — Part 2. Evaluation of microphysical pathways in updraft parcel simulations. Atmos. Chem. Phys., 15, 11729-11751, doi:10.5194/acp-15-11729-2015.
, , A. Grandlin, F. Dezitter, M. Weber, J.W. Strapp, and A. Korolev, 2015:Liquid water cloud properties during the Polarimeter Definition Experiment (PODEX). Remote Sens. Environ., 169, 20-36, doi:10.1016/j.rse.2015.07.029.
, , , , M.J. McGill, J.E. Yorks, J.E. Hlavka, S.E. Platnick, G.T. Arnold, , , , and K.D. Knobelspiesse, 2015:Cho, H.-M., Z. Zhang, K. Meyer, M. Lebsock, S. Platnick, Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans. J. Geophys. Res. Atmos., 120, no. 9, 4132-4154, doi:10.1002/2015JD023161.
, L. Di Girolamo, L.C. Labonnote, C. Cornet, J. Riedi, and R.E. Holz, 2015:Endo, S., RACORO continental boundary layer cloud investigations. Part II: Large-eddy simulations of cumulus clouds and evaluation with in-situ and ground-based observations. J. Geophys. Res. Atmos., 120, no. 12, 5993-6014, doi:10.1002/2014JD022525.
, W. Lin, A.M. Vogelmann, T. Toto, , G.M. McFarquhar, R.C. Jackson, and Y. Liu, 2015:High ice water content at low radar reflectivity near deep convection — Part 1. Consistency of in situ and remote-sensing observations with stratiform rain column simulations. Atmos. Chem. Phys., 15, 11713-11728, doi:10.5194/acp-15-11713-2015.
, , A. Grandlin, F. Dezitter, M. Weber, J.W. Strapp, and A. Korolev, 2015:Properties of a mesoscale convective system in context of an isentropic analysis. J. Atmos. Sci., 72, no. 5, 1945-1962, doi:10.1175/JAS-D-14-0139.1.
, O.M. Pauluis, , and , 2015:Pincus, R., E.J. Mlawer, L. Oreopoulos, Radiative flux and forcing parameterization error in clear, clean skies. Geophys. Res. Lett., 42, no. 13, 5485-5492, doi:10.1002/2015GL064291.
, S. Caek, M. Brath, S.A. Buehler, K.E. Cady-Pereira, J.N.S. Cole, J.-L. Dufresne, , J. Li, J. Manners, D.J. Paynter, R. Roehrig, M. Sekiguchi, and M.D. Schwarzkopf, 2015:Vogelmann, A.M., RACORO continental boundary layer cloud investigations. Part I: Case study development and ensemble large-scale forcings. J. Geophys. Res. Atmos., 120, no. 12, 5962-5992, doi:10.1002/2014JD022713.
, T. Toto, S. Endo, W. Lin, J. Wang, S. Feng, Y. Zhang, D.D Turner, Y. Liu, Z. Li, S. Xie, , M. Zhang, and M. Khairoutdinov, 2015:Zhang, Z., S. Platnick, Spectral dependence of MODIS cloud droplet effective radius retrievals for marine boundary layer clouds. In Light Scattering Reviews 9: Light Scattering and Radiative Transfer. A.A. Kokhanovsky, Ed., Springer Praxis, pp. 135-165, doi:10.1007/978-3-642-37985-7_4.
, and H.-M. Cho, 2015:2014
Ovchinnikov, M., Intercomparison of large-eddy simulations of Arctic mixed-phase clouds: Importance of ice size distribution assumptions. J. Adv. Model. Earth Syst., 6, no. 1, 223-248, doi:10.1002/2013MS000282.
, A. Avramov, A. Cheng, J. Fan, , S. Ghan, J. Harrington, C. Hoose, A. Korolev, G.M. McFarquhar, H. Morrison, M. Paukert, J. Savre, B.J. Shipway, M.D. Shupe, A. Solomon, and K. Sulia, 2014:A flexible parameterization for shortwave optical properties of ice crystals. J. Atmos. Sci., 71, no. 5, 1763-1782, doi:10.1175/JAS-D-13-0205.1.
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Marley, M.S., Clouds and hazes in exoplanet atmospheres. In Comparative Climatology of Terrestrial Planets. S.J. Mackwell, A.A. Simon-Miller, J.W. Harder, and M.A. Bullock, Eds., Space Science Series, University of Arizona Press, pp. 367-391, doi:10.2458/azu_uapress_9780816530595-ch015.
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Accuracy assessments of cloud droplet size retrievals from polarized reflectance measurements by the research scanning polarimeter. Remote Sens. Environ., 125, 92-111, doi:10.1016/j.rse.2012.07.012.
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Towards ice formation closure in Arctic mixed-phase boundary layer clouds during ISDAC. J. Geophys. Res., 116, D00T08, doi:10.1029/2011JD015910.
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Cellular statistical models of broken cloud fields. Part II: Comparison with dynamical model, statistics of diverse ensembles. J. Atmos. Sci., 67, 2152-2170, doi:10.1175/2010JAS3365.1.
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Large-eddy simulations of a drizzling, stratocumulus-topped marine boundary layer. Mon. Weather Rev., 137, 1083-1110, doi:10.1175/2008MWR2582.1.
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GCSS stratocumulus large-eddy simulation intercomparisons targeting climate model uncertainties. GEWEX News, 18, no. 2, 3-5.
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Jensen, E.J., and Homogeneous aerosol freezing in the tops of high-altitude tropical cumulonimbus clouds. Geophys. Res. Lett., 33, L08802, doi:10.1029/2005GL024928.
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Stevens, B., C.-H. Moeng, Evaluation of large-eddy simulations via observations of nocturnal marine stratocumulus. Mon. Weather Rev., 133, 1443-1462, doi:10.1175/MWR2930.1.
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The impact of humidity above stratiform clouds on indirect aerosol climate forcing. Nature, 432, 1014-1017, doi:10.1038/nature03174.
, M.P. Kirkpatrick, D.E. Stevens, and O.B. Toon, 2004:Evidence for the predominance of mid-tropospheric aerosols as subtropical anvil cloud nuclei. Science, 304, 718-722, doi:10.1126/science.1094947.
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Enhancement of cloud cover and suppression of nocturnal drizzle in stratocumulus polluted by haze. Geophys. Res. Lett., 30, no. 7, 1381, doi:10.1029/2002GL016634.
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Burgasser, A.J., M.S. Marley, Evidence of cloud disruption in the L/T dwarf transition. Astrophys. J., 571, L151-L154, doi:10.1086/341343.
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Precipitating condensation clouds in substellar atmospheres. Astrophys. J., 556, 872-884, doi:10.1086/321540.
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Reduction of tropical cloudiness by soot. Science, 288, 1042-1047, doi:10.1126/science.288.5468.1042.
, O.B. Toon, D.E. Stevens, A.J. Heymsfield, V. Ramanathan, and E.J. Welton, 2000:Effects of aerosols on cloud albedo: Evaluation of Twomey's parameterization of cloud susceptibility using measurements of ship tracks. J. Atmos. Sci., 57, 2684-2695, doi:10.1175/1520-0469(2000)057<2684:EOAOCA>2.0.CO;2.
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Taylor, J.P., and A case-study of pronounced perturbations to cloud properties and boundary-layer dynamics due to aerosol emissions. Q. J. Roy. Meteorol. Soc., 125, 2643-2661, doi:10.1256/smsqj.55914.
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Jensen, E.J., Spreading and growth of contrails in a sheared environment. J. Geophys. Res., 103, 31557-31568, doi:10.1029/98JD02594.
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Unrealistic desiccation of marine stratocumulus clouds by enhanced solar absorption. Nature, 380, 512-515, doi:10.1038/380512a0.
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A model for particle microphysics, turbulent mixing, and radiative Transfer in the stratocumulus-topped marine boundary layer and comparisons with measurements. J. Atmos. Sci., 52, 1204-1236, doi:10.1175/1520-0469(1995)052<1204:AMFPMT>2.0.CO;2.
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Reassessing the dependence of cloud condensation nucleus concentration on formation rate. Nature, 367, 445-447, doi:10.1038/367445a0.
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Dissipation of marine stratiform clouds and collapse of the marine boundary layer due to the depletion of cloud condensation nuclei by clouds. Science, 262, 226-229, doi:10.1126/science.262.5131.226.
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