Unveiling aerosol-cloud interactions - Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data

Atmospheric Chemistry and Physics

Volumn 17, Issue 21, 2017, Pages 13165-13185

  Neubauer, David ^a   Christensen, W Matthew ^b,c   Poulsen, A Caroline ^b   Lohmann, Ulrike ^a  

^a ETH Zurich   (Switzerland)

^b STFC Rutherford Appleton Lab ^*  (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOL PROPERTY; CLOUD DROPLET; CLOUD RADIATIVE FORCING; COMPARATIVE STUDY; SATELLITE DATA; SCAVENGING (CHEMISTRY); SWELLING;

ACIS;

EID: 85033227771     PISSN: 16807316     EISSN: 16807324     Source Type: Journal    
DOI: 10.5194/acp-17-13165-2017     Document Type: Article

References (84)

1. Ångström, A.: The parameters of atmospheric turbidity, Tellus, 16, 64-75, https://doi. org/10. 1111/j. 2153-3490. 1964. tb00144. x, 1964.
2. Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227-1230, https://doi. org/10. 1126/science. 245. 4923. 1227, 1989.
3. Andersen, H., Cermak, J., Fuchs, J., and Schwarz, K.: Global observations of cloud-sensitive aerosol loadings in low-level marine clouds, J. Geophys. Res.-Atmos., 121, 12936-12946, https://doi. org/10. 1002/2016JD025614, 2016.
4. Andersen, H., Cermak, J., Fuchs, J., Knutti, R., and Lohmann, U.: Understanding the drivers of marine liquid-water cloud occurrence and properties with global observations using neural networks, Atmos. Chem. Phys., 17, 9535-9546, https://doi. org/10. 5194/acp-17-9535-2017, 2017.
5. Bellouin, N., Quaas, J., Morcrette, J.-J., and Boucher, O.: Estimates of aerosol radiative forcing from the MACC re-analysis, Atmos. Chem. Phys., 13, 2045-2062, https://doi. org/10. 5194/acp-13-2045-2013, 2013.
6. Bender, F. A.-M., Engström, A., and Karlsson, J.: Factors Controlling Cloud Albedo in Marine Subtropical Stratocumulus Regions in Climate Models and Satellite Observations, J. Climate, 29, 3559-3587, https://doi. org/10. 1175/JCLI-D-15-0095. 1, 2016.
7. Bennartz, R.: Global assessment of marine boundary layer cloud droplet number concentration from satellite, J. Geophys. Res., 112, D02201, https://doi. org/10. 1029/2006JD007547, 2007.
8. Boucher, O. and Quaas, J.: Water vapour affects both rain and aerosol optical depth, Nat. Geosci., 6, 4-5, https://doi. org/10. 1038/ngeo1692, 2012.
9. Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S. K., Sherwood, S., Stevens, B., and Zhang, X. Y.: 7. Clouds and Aerosols, Climate Change 2013-The Physical Science Basis Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 571-657, https://doi. org/10. 1017/CBO9781107415324. 016, 2013.
10. Brenguier, J.-L., Pawlowska, H., Schüller, L., Preusker, R., Fischer, J. and Fouquart, Y.: Radiative Properties of Boundary Layer Clouds: Droplet Effective Radius versus Number Concentration, J. Atmos. Sci., 57, 803-821, https://doi. org/10. 1175/1520-0469(2000)0570803:RPOBLC>2. 0. CO;2, 2000.
11. Brinkop, B. and Roeckner, E.: Sensitivity of a general circulation model to parametrizations of cloud-turbulence interactions in the atmospheric boundary layer, Tellus, 47, 197-220, https://doi. org/10. 1034/j. 1600-0870. 1995. t01-1-00004. x, 1995.
12. Carslaw, K. S., Lee, L. A., Reddington, C. L., Pringle, K. J., Rap, A., Forster, P. M., Mann, G. W., Spracklen, D. V., Woodhouse, M. T., Regayre, L. A., and Pierce, J. R.: Large contribution of natural aerosols to uncertainty in indirect forcing, Nature, 503, 67-71, https://doi. org/10. 1038/nature12674, 2013.
13. Chen, Y.-C., Christensen, M. W., Stephens, G. L., and Seinfeld, J. H.: Satellite-based estimate of global aerosol-cloud radiative forcing by marine warm clouds, Nat. Geosci., 7, 643-646, https://doi. org/10. 1038/ngeo2214, 2014.
14. Christensen, M. W., Chen, Y.-C., and Stephens, G. L.: Aerosol indirect effect dictated by liquid clouds, J. Geophys. Res.-Atmos., 121, 14636-14650, https://doi. org/10. 1002/2016JD025245, 2016.
15. Christensen, M. W., Neubauer, D., Poulsen, C. A., Thomas, G. E., McGarragh, G. R., Povey, A. C., Proud, S. R., and Grainger, R. G.: Unveiling aerosol-cloud interactions-Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate, Atmos. Chem. Phys., 17, 13151-13164, https://doi. org/10. 5194/acp-17-13151-2017, 2017.
16. Croft, B., Lohmann, U., Martin, R. V., Stier, P., Wurzler, S., Feichter, J., Hoose, C., Heikkilä, U., van Donkelaar, A., and Ferrachat, S.: Influences of in-cloud aerosol scavenging parameterizations on aerosol concentrations and wet deposition in ECHAM5-HAM, Atmos. Chem. Phys., 10, 1511-1543, https://doi. org/10. 5194/acp-10-1511-2010, 2010.
17. Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hölm, E. V., Isaksen, L., Kallberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system., Q. J. Roy. Meteor. Soc., 137, 553-597, https://doi. org/10. 1002/qj. 828, 2011.
18. ESA (European Space Agency): AATSR Multimission land and sea surface data, version 2. 1, NERC Earth Observation Data Centre, available at: http://catalogue. ceda. ac. uk/uuid/ 1d0c047ea3ced97cc7e988d7d286052a (last access: 20 October 2017), 2014.
19. Feingold, G., Eberhard, W. L., Veron, D. E., and Previdi, M.: First measurements of the Twomey indirect effect using ground-based remote sensors, Geophys. Res. Lett., 30, 1287, https://doi. org/10. 1029/2002GL016633, 2003.
20. Feingold, G., McComiskey, A., Yamaguchi, T., Johnson, J. S., Carslaw, K. S., and Schmidt, K. S.: New approaches to quantifying aerosol influence on the cloud radiative effect, P. Natl. Acad. Sci. USA, 113, 5812-5819, https://doi. org/10. 1073/pnas. 1514035112, 2016.
21. Geil, K. L. and Zeng, X.: Quantitative characterization of spurious numerical oscillations in 48 CMIP5 models, Geophys. Res. Lett., 42, 5066-5073, https://doi. org/10. 1002/2015GL063931, 2015.
22. Gettelman, A. and Morrison, H.: Advanced Two-Moment Bulk Microphysics for Global Models, Part I: Off-Line Tests and Comparison with Other Schemes, J. Climate, 28, 1268-1287, https://doi. org/10. 1175/JCLI-D-14-00102. 1, 2015.
23. Gettelman, A., Morrison, H., Santos, S., Bogenschutz, P., and Caldwell, P. M.: Advanced Two-Moment Bulk Microphysics for Global Models. Part II: Global Model Solutions and Aerosol-Cloud Interactions, J. Climate, 28, 1288-1307, https://doi. org/10. 1175/JCLI-D-14-00103. 1, 2015.
24. Ghan, S., Wang, M., Zhang, S., Ferrachat, S., Gettelman, A., Griesfeller, J., Kipling, Z., Lohmann, U., Morrison, H., Neubauer, D., Partridge, D. G., Stier, P., Takemura, T., Wang, H., and Zhang, K.: Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability, P. Natl. Acad. Sci. USA, 113, 5804-5811, https://doi. org/10. 1073/pnas. 1514036113, 2016.
25. Grandey, B. S. and Stier, P.: A critical look at spatial scale choices in satellite-based aerosol indirect effect studies, Atmos. Chem. Phys., 10, 11459-11470, https://doi. org/10. 5194/acp-10-11459-2010, 2010.
26. Grandey, B. S., Gururaj, A., Stier, P., and Wagner, T. M.: Rainfall-aerosol relationships explained by wet scavenging and humidity, Geophys. Res. Lett., 41, 5678-5684, https://doi. org/10. 1002/2014GL060958, 2014.
27. Gryspeerdt, E., Stier, P., and Grandey, B. S.: Cloud fraction mediates the aerosol optical depth-cloud top height relationship, Geophys. Res. Lett., 41, 3622-3627, https://doi. org/10. 1002/2014GL059524, 2014.
28. Gryspeerdt, E., Stier, P., White, B. A., and Kipling, Z.: Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, https://doi. org/10. 5194/acp-15-7557-2015, 2015.
29. Gryspeerdt, E., Quaas, J., and Bellouin, N.: Constraining the aerosol influence on cloud fraction, J. Geophys. Res.-Atmos., 121, 3566-3583, https://doi. org/10. 1002/2015JD023744, 2016.
30. Gryspeerdt, E., Quaas, J., Ferrachat, S., Gettelman, A., Ghan, S., Lohmann, U., Morrison, H., Neubauer, D., Partridge, D. G., Stier, P., Takemura, T., Wang, H., Wang M., and Zhang, K.: Constraining the instantaneous aerosol influence on cloud albedo, P. Natl. Acad. Sci. USA, 114, 4899-4904, https://doi. org/10. 1073/pnas. 1617765114, 2017.
31. Hollmann, R., Merchant, C. J., Saunders, R., Downy, C., Buchwitz, M., Cazenave, A., Chuvieco, E., Defourny, P., de Leeuw, G., Forsberg, R., Holzer-Popp, T., Paul, F., Sandven, S., Sathyendranath, S., van Roozendael M., and Wagner, W.: The ESA climate change initiative: satellite data records for essential climate variables, B. Am. Meteorol. Soc., 94, 1541-1552. https://doi. org/10. 1175/BAMS-D-11-00254. 1, 2013.
32. Hoose, C., Lohmann, U., Bennartz, R., Croft, B., and Lesins, G.: Global simulations of aerosol processing in clouds, Atmos. Chem. Phys., 8, 6939-6963, https://doi. org/10. 5194/acp-8-6939-2008, 2008a.
33. Hoose, C., Lohmann, U., Stier, P., Verheggen, B., and Weingartner, E.: Aerosol processing in mixed-phase clouds in ECHAM5-HAM: Model description and comparison to observations, J. Geophys. Res., 113, D07210, https://doi. org/10. 1029/2007JD009251, 2008b.
34. Khairoutdinov, M. and Kogan, Y.: A new cloud physics parameterization in a large-eddy simulation model of marine stratocumulus, Mon. Weather Rev., 128, 229-243, https://doi. org/10. 1175/1520-0493(2000)1280229:ANCPPI>2. 0. CO;2, 2000.
35. King, M., Tsay, S. C., Platnick, S., Wang, M., and Liou., K. N.: Cloud retrieval algorithms for MODIS: Optical thickness, effective particle radius, and thermodynamic phase, Algorithm Theor. Basis Doc. ATBD-MOD-05, NASA Goddard Space Flight Cent., Greenbelt, Md, 1998.
36. Koren, I., Altaratz, O., Remer, L. A., Feingold, G., Martins, J. V., and Heiblum, R.: Reply to "Water vapour affects both rain and aerosol optical depth", Nat. Geosci., 6, 5-5, https://doi. org/10. 1038/ngeo1693, 2013.
37. Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., Schultz, M. G., Shindell, D., Smith, S. J., Stehfest, E., Van Aardenne, J., Cooper, O. R., Kainuma, M., Mahowald, N., McConnell, J. R., Naik, V., Riahi, K., and van Vuuren, D. P.: Historical (1850-2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application, Atmos. Chem. Phys., 10, 7017-7039, https://doi. org/10. 5194/acp-10-7017-2010, 2010.
38. Lenderink, G. and Holtslag, A. A. M.: Evaluation of the Kinetic Energy Approach for Modeling Turbulent Fluxes in Stratocumulus, Mon. Weather Rev., 128, 244-258, https://doi. org/10. 1175/1520-0493(2000)1280244:EOTKEA>2. 0. CO;2, 2000.
39. Lin, H. and Leaitch, W. R.: Development of an in-cloud aerosol activation parameterization for climate modelling, in Proceedings of the WMOWorkshop on Measurement of Cloud Properties for Forecasts of Weather, Air Quality and Climate, 328-335, World Meteorol. Organ., Geneva, 1997.
40. Liu, J. and Li, Z.: Estimation of cloud condensation nuclei concentration from aerosol optical quantities: influential factors and uncertainties, Atmos. Chem. Phys., 14, 471-483, https://doi. org/10. 5194/acp-14-471-2014, 2014.
41. Lohmann, U. and Hoose, C.: Sensitivity studies of different aerosol indirect effects in mixed-phase clouds, Atmos. Chem. Phys., 9, 8917-8934, https://doi. org/10. 5194/acp-9-8917-2009, 2009.
42. Lohmann, U. and Lesins, G.: Comparing continental and oceanic cloud susceptibilities to aerosols, Geophys. Res. Lett., 30, 1791, https://doi. org/10. 1029/2003GL017828, 2003.
43. Lohmann, U., Stier, P., Hoose, C., Ferrachat, S., Kloster, S., Roeckner, E., and Zhang, J.: Cloud microphysics and aerosol indirect effects in the global climate model ECHAM5-HAM, Atmos. Chem. Phys., 7, 3425-3446, https://doi. org/10. 5194/acp-7-3425-2007, 2007.
44. McComiskey, A. and Feingold, G.: The scale problem in quantifying aerosol indirect effects, Atmos. Chem. Phys., 12, 1031-1049, https://doi. org/10. 5194/acp-12-1031-2012, 2012.
45. Menon, S., Genio, A. D. D., Koch, D., and Tselioudis, G.: GCM Simulations of the Aerosol Indirect Effect: Sensitivity to Cloud Parameterization and Aerosol Burden, J. Atmos. Sci., 59, 692-713, https://doi. org/10. 1175/1520-0469(2002)0590692:GSOTAI>2. 0. CO;2, 2002.
46. Nakajima, T., Higurashi, A., Kawamoto, K., and Penner, J. E.: A possible correlation between satellite-derived cloud and aerosol microphysical parameters, Geophys. Res. Lett., 28, 1171-1174, https://doi. org/10. 1029/2000GL012186, 2001.
47. Neubauer, D., Lohmann, U., Hoose, C., and Frontoso, M. G.: Impact of the representation of marine stratocumulus clouds on the anthropogenic aerosol effect, Atmos. Chem. Phys., 14, 11997-12022, https://doi. org/10. 5194/acp-14-11997-2014, 2014.
48. Nordeng, T. E.: Extended versions of the convective parameterization scheme at ECMWF and their impact on the mean and transient activity of the model in the tropics, Technical Memorandum 206, European Centre for Medium-RangeWeather Forecasts, Reading, UK, available at: https://www. ecmwf. int/sites/default/files/elibrary/1994/11393-extended-versions-convective-parametrization-scheme-ecmwfand-their-impact-mean-and-transient. pdf (last access: 30 October 2017), 41 pp., 1994.
49. Penner, J. E., Quaas, J., Storelvmo, T., Takemura, T., Boucher, O., Guo, H., Kirkevåg, A., Kristjánsson, J. E., and Seland, Ø.: Model intercomparison of indirect aerosol effects, Atmos. Chem. Phys., 6, 3391-3405, https://doi. org/10. 5194/acp-6-3391-2006, 2006.
50. Popp, T., de Leeuw, G., Bingen, C., Brühl, C., Capelle, V., Chedin, A., Clarisse, L., Dubovik, O., Grainger, R., Griesfeller, J., Heckel, A., Kinne, S., Klüser, L., Kosmale, M., Kolmonen, P., Lelli, L., Litvinov, P., Mei, L., North, P., Pinnock, S., Povey, A., Robert, C., Schulz, M., Sogacheva, L., Stebel, K., Stein Zweers, D., Thomas, G., Tilstra, L. G., Vandenbussche, S., Veefkind, P., Vountas, M., and Xue, Y.: Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosolcci), Remote Sens., 8, 421, https://doi. org/10. 3390/rs8050421, 2016.
51. Posselt, R. and Lohmann, U.: Introduction of prognostic rain in ECHAM5: design and single column model simulations, Atmos. Chem. Phys., 8, 2949-2963, https://doi. org/10. 5194/acp-8-2949-2008, 2008.
52. Posselt, R. and Lohmann, U.: Sensitivity of the total anthropogenic aerosol effect to the treatment of rain in a global climate model, Geophys. Res. Lett., 36, L02805, https://doi. org/10. 1029/2008GL035796, 2009.
53. Poulsen, C. A., Siddans, R., Thomas, G. E., Sayer, A. M., Grainger, R. G., Campmany, E., Dean, S. M., Arnold, C., and Watts, P. D.: Cloud retrievals from satellite data using optimal estimation: evaluation and application to ATSR, Atmos. Meas. Tech., 5, 1889-1910, https://doi. org/10. 5194/amt-5-1889-2012, 2012.
54. Quaas, J., Boucher, O., and Lohmann, U.: Constraining the total aerosol indirect effect in the LMDZ and ECHAM4 GCMs using MODIS satellite data, Atmos. Chem. Phys., 6, 947-955, https://doi. org/10. 5194/acp-6-947-2006, 2006.
55. Quaas, J., Boucher, O., Bellouin, N., and Kinne, S.: Satellite-based estimate of the direct and indirect aerosol climate forcing, J. Geophys. Res., 113, D05204, https://doi. org/10. 1029/2007JD008962, 2008.
56. Quaas, J., Ming, Y., Menon, S., Takemura, T., Wang, M., Penner, J. E., Gettelman, A., Lohmann, U., Bellouin, N., Boucher, O., Sayer, A. M., Thomas, G. E., McComiskey, A., Feingold, G., Hoose, C., Kristjánsson, J. E., Liu, X., Balkanski, Y., Donner, L. J., Ginoux, P. A., Stier, P., Grandey, B., Feichter, J., Sednev, I., Bauer, S. E., Koch, D., Grainger, R. G., Kirkevåg, A., Iversen, T., Seland, Ø., Easter, R., Ghan, S. J., Rasch, P. J., Morrison, H., Lamarque, J.-F., Iacono, M. J., Kinne, S., and Schulz, M.: Aerosol indirect effects-general circulation model intercomparison and evaluation with satellite data, Atmos. Chem. Phys., 9, 8697-8717, https://doi. org/10. 5194/acp-9-8697-2009, 2009.
57. Quaas, J., Stevens, B., Stier, P., and Lohmann, U.: Interpreting the cloud cover-aerosol optical depth relationship found in satellite data using a general circulation model, Atmos. Chem. Phys., 10, 6129-6135, https://doi. org/10. 5194/acp-10-6129-2010, 2010.
58. Remer, L. A., Kaufman, Y. J., Tanré, D., Mattoo, S., Chu, D. A., Martins, J. V., Li, R.-R., Ichoku, C., Levy, R. C., Kleidman, R. G., Eck, T. F., Vermote, E., and Holben, B. N.: The MODIS aerosol algorithm, products, and validation, J. Atmos. Sci., 62, 947-973, https://doi. org/10. 1175/JAS3385. 1, 2005.
59. Roeckner, E., Buml, G., Bonaventura, L., Brokopf, R., Esch, M., Giorgetta, M., Hagemann, S., Kirchner, I., Kornblueh, L., Manzini, E., Rhodin, A., Schlese, U., Schulzweida, U., and Tompkins, A.: The Atmospheric General Circulation Model ECHAM5: Part 1. REPORT 349, Tech. rep., Max Planck Institute for Meteorology Hamburg, Germany, 2003.
60. Rosenfeld, D., Chemke, R., Prather, K., Suski, K., Comstock, J. M., Schmid, B., Tomlinson, J., and Jonsson, H.: Polluting of winter convective clouds upon transition from ocean inland over central California: Contrasting case studies, Atmos. Res., 135, 112-127, https://doi. org/10. 1016/j. atmosres. 2013. 09. 006, 2014.
61. Rotstayn, L. D. and Liu, Y.: A smaller global estimate of the second indirect aerosol effect, Geophys. Res. Lett., 32, L05708, https://doi. org/10. 1029/2004GL021922, 2005.
62. Sant, V., Lohmann, U., and Seifert, A.: Performance of a triclass parameterization for the collision-coalescence process in shallow clouds, J. Atmos. Sci., 70, 1744-1767, https://doi. org/10. 1175/JAS-D-12-0154. 1, 2013.
63. Sant, V., Posselt, R., and Lohmann, U.: Prognostic precipitation with three liquid water classes in the ECHAM5-HAM GCM, Atmos. Chem. Phys., 15, 8717-8738, https://doi. org/10. 5194/acp-15-8717-2015, 2015.
64. Schmidt, J., Ansmann, A., Bühl, J., and Wandinger, U.: Strong aerosol-cloud interaction in altocumulus during updraft periods: lidar observations over central Europe, Atmos. Chem. Phys., 15, 10687-10700, https://doi. org/10. 5194/acp-15-10687-2015, 2015.
65. Schutgens, N. A. J., Partridge, D. G., and Stier, P.: The importance of temporal collocation for the evaluation of aerosol mod-els with observations, Atmos. Chem. Phys., 16, 1065-1079, https://doi. org/10. 5194/acp-16-1065-2016, 2016.
66. Stephens, G. L., Vane, D. G., Tanelli, S., Im, E., Durden, S., Rokey, M., Reinke, D., Partain, P., Mace, G. G., Austin, R., L'Ecuyer, T., Haynes, J., Lebsock, M., Suzuki, K., Waliser, D., Wu, D., Kay, J., Gettelman, A., Wang, Z., and Marchand, R.: CloudSat mission: Performance and early science after the first year of operation, J. Geophys. Res., 113, D00A18, https://doi. org/10. 1029/2008JD009982, 2008.
67. Shinozuka, Y., Clarke, A. D., Nenes, A., Jefferson, A., Wood, R., McNaughton, C. S., Ström, J., Tunved, P., Redemann, J., Thornhill, K. L., Moore, R. H., Lathem, T. L., Lin, J. J., and Yoon, Y. J.: The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: indications of underlying aerosol processes and implications for satellitebased CCN estimates, Atmos. Chem. Phys., 15, 7585-7604, https://doi. org/10. 5194/acp-15-7585-2015, 2015.
68. Stevens, B. and Feingold, G.: Untangling aerosol effects on clouds and precipitation in a buffered system, Nature, 461, 607-613, https://doi. org/10. 1038/nature08281, 2009.
69. Stevens, B., Moeng, C.-H., and Sullivan, P. S.: Large-Eddy Simulations of Radiatively Driven Convection: Sensitivities to the Representation of Small Scales, J. Atmos. Sci., 56, 3963-3984, https://doi. org/10. 1175/1520-0469(1999)0563963:LESORD>2. 0. CO;2, 1999.
70. Stevens, B., Giorgetta, M., Esch, M., Mauritsen, T., Crueger, T., Rast, S., Salzmann, M., Schmidt, H., Bader, J., Block, K., Brokopf, R., Fast, I., Kinne, S., Kornblueh, L., Lohmann, U., Pincus, R., Reichler, T., and Roeckner, E.: Atmospheric component of the MPI-M Earth System Model: ECHAM6, J. Adv. Model. Earth Syst., 5, 146-172, https://doi. org/10. 1002/jame. 20015, 2013.
71. Stier, P.: Limitations of passive remote sensing to constrain global cloud condensation nuclei, Atmos. Chem. Phys., 16, 6595-6607, https://doi. org/10. 5194/acp-16-6595-2016, 2016.
72. Stier, P., Feichter, J., Kinne, S., Kloster, S., Vignati, E., Wilson, J., Ganzeveld, L., Tegen, I., Werner, M., Balkanski, Y., Schulz, M., Boucher, O., Minikin, A., and Petzold, A.: The aerosol-climate model ECHAM5-HAM, Atmos. Chem. Phys., 5, 1125-1156, https://doi. org/10. 5194/acp-5-1125-2005, 2005.
73. Suzuki, K., Stephens, G., van den Heever, S., and Nakajima, T.: Diagnosis of the warm rain process in cloud-resolving models using joint CloudSat and MODIS observations. J. Atmos. Sci., 68, 2655-2670, 2011.
74. Suzuki, K., Golaz, J.-C., and Stephens, G. L.: Evaluating cloud tuning in a climate model with satellite observations, Geophys. Res. Lett., 40, 4464-4468, https://doi. org/10. 1002/grl. 50874, 2013.
75. Textor, C., Schulz, M., Guibert, S., Kinne, S., Balkanski, Y., Bauer, S., Berntsen, T., Berglen, T., Boucher, O., Chin, M., Dentener, F., Diehl, T., Easter, R., Feichter, H., Fillmore, D., Ghan, S., Ginoux, P., Gong, S., Grini, A., Hendricks, J., Horowitz, L., Huang, P., Isaksen, I., Iversen, I., Kloster, S., Koch, D., Kirkevåg, A., Kristjansson, J. E., Krol, M., Lauer, A., Lamarque, J. F., Liu, X., Montanaro, V., Myhre, G., Penner, J., Pitari, G., Reddy, S., Seland, Ø., Stier, P., Takemura, T., and Tie, X.: Analysis and quantification of the diversities of aerosol life cycles within AeroCom, Atmos. Chem. Phys., 6, 1777-1813, https://doi. org/10. 5194/acp-6-1777-2006, 2006.
76. Thomas, G. E., Poulsen, C. A., Sayer, A. M., Marsh, S. H., Dean, S. M., Carboni, E., Siddans, R., Grainger, R. G., and Lawrence, B. N.: The GRAPE aerosol retrieval algorithm, Atmos. Meas. Tech., 2, 679-701, https://doi. org/10. 5194/amt-2-679-2009, 2009.
77. Tiedtke, M.: A Comprehensive Mass Flux Scheme for Cumulus Parameterization in Large-Scale Models, Mon. Weather Rev., 117, 1779-1800, https://doi. org/10. 1175/1520-0493(1989)1171779:ACMFSF>2. 0. CO;2, 1989.
78. Twomey, S.: Pollution and the planetary albedo, Atmos. Environ., 8, 1251-1256, https://doi. org/10. 1016/0004-6981(74)90004-3, 1974.
79. Twohy, C. H., Coakley Jr., J. A., and Tahnk, W. R.: Effect of changes in relative humidity on aerosol scattering near clouds, J. Geophys. Res., 114, D05205, https://doi. org/10. 1029/2008JD010991, 2009.
80. Varnái, T. and Marshak, A.: MODIS observations of enhanced clear sky reflectance near clouds, Geophys. Res. Lett., 36, l06807, https://doi. org/10. 1029/2008GL037089, 2009.
81. Zeng, S., Riedi, J., Trepte, C. R., Winker, D. M., and Hu, Y.-X.: Study of global cloud droplet number concentration with A-Train satellites, Atmos. Chem. Phys., 14, 7125-7134, https://doi. org/10. 5194/acp-14-7125-2014, 2014.
82. Zhang, K., O'Donnell, D., Kazil, J., Stier, P., Kinne, S., Lohmann, U., Ferrachat, S., Croft, B., Quaas, J., Wan, H., Rast, S., and Feichter, J.: The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations, Atmos. Chem. Phys., 12, 8911-8949, https://doi. org/10. 5194/acp-12-8911-2012, 2012.
83. Zhao, G., Zhao, C., Kuang, Y., Tao, J., Tan, W., Bian, Y., Li, J., and Li, C.: Impact of aerosol hygroscopic growth on retrieving aerosol extinction coefficient profiles from elasticbackscatter lidar signals, Atmos. Chem. Phys., 17, 12133-12143, https://doi. org/10. 5194/acp-17-12133-2017, 2017.
84. Zygmuntowska, M., Mauritsen, T., Quaas, J., and Kaleschke, L.: Arctic Clouds and Surface Radiation-a critical comparison of satellite retrievals and the ERA-Interim reanalysis, Atmos. Chem. Phys., 12, 6667-6677, https://doi. org/10. 5194/acp-12-6667-2012, 2012.