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The Transition from Aerosol- to Updraft-Limited Susceptibility Regime in Large-Eddy Simulations with Bulk Microphysics Cover

The Transition from Aerosol- to Updraft-Limited Susceptibility Regime in Large-Eddy Simulations with Bulk Microphysics

Open Access
|Oct 2024

References

  1. Ackerman, A.S., vanZanten, M.C., Stevens, B., Savic-Jovcic, V., Bretherton, C.S., Chlond, A., Golaz, J.-C., Jiang, H., Khairoutdinov, M., Krueger, S.K., Lewellen, D.C., Lock, A., Moeng, C.-H., Nakamura, K., Petters, M.D., Snider, J.R., Weinbrecht, S. and Zulauf, M. (2009) Large-eddy simulations of a drizzling, stratocumulus-topped marine boundary layer. Mon. Wea. Rev., 137: 10831110. DOI: 10.1175/2008MWR2582.1
  2. Albrecht, B.A. (1989) Aerosols, cloud microphysics, and fractional cloudiness. Science, 245: 12271230. DOI: 10.1126/science.245.4923.1227
  3. Árnason, G. and Brown, P.S. (1971) Growth of cloud droplets by condensation: A problem in computational stability. Journal of the Atmospheric Sciences, 28: 7277. DOI: 10.1175/1520-0469(1971)028<;0072:GOCDBC>2.0.CO;2
  4. Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson-Parris, D., Boucher, O., Carslaw, K.S., Christensen, M., Daniau, A.-L., Dufresne, J.-L., Feingold, G., Fiedler, S., Forster, P., Gettelman, A., Haywood, J.M., Lohmann, U., Malavelle, F., Mauritsen, T., McCoy, D.T., Myhre, G., Mülmenstädt, J., Neubauer, D., Possner, A., Rugenstein, M., Sato, Y., Schulz, M., Schwartz, S.E., Sourdeval, O., Storelvmo, T., Toll, V., Winker, D. and Stevens, B. (2020) Bounding global aerosol radiative forcing of climate change. Reviews of Geophysics, 57. DOI: 10.1029/2019RG000660
  5. 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. (2013) Clouds and Aerosols. In: Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V. and Midgley, P.M. (eds.) Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press. pp. 571658. DOI: 10.1017/CBO9781107415324.016
  6. Bougiatioti, A., Bezantakos, S., Stavroulas, I., Kalivitis, N., Kokkalis, P., Biskos, G., Mihalopoulos, N., Papayannis, A. and Nenes, A. (2016) Biomass-burning impact on CCN number, hygroscopicity and cloud formation during summertime in the eastern Mediterranean. Atmospheric Chemistry and Physics, 16: 73897409. DOI: 10.5194/acp-16-7389-2016
  7. Bougiatioti, A., Nenes, A., Lin, J.J., Brock, C.A., de Gouw, J.A., Liao, J., Middlebrook, A.M. and Welti, A. (2020) Drivers of cloud droplet number variability in the summertime in the southeastern United States. Atmospheric Chemistry and Physics, 20: 1216312176. DOI: 10.5194/acp-20-12163-2020
  8. Brenguier, J.-L., Pawlowska, H., Schüller, L., Preusker, R., Fischer, J. and Fouquart, Y. (2000) Radiative properties of boundary layer clouds: Droplet effective radius versus number concentration. J. Atmos. Sci., 57: 803821. DOI: 10.1175/1520-0469(2000)057<;0803:RPOBLC>2.0.CO;2
  9. Bulatovic, I., Ekman, A.M.L., Savre, J., Riipinen, I. and Leck, C. (2019) Aerosol indirect effects in marine stratocumulus: The importance of explicitly predicting cloud droplet activation. Geophysical Research Letters, 46: 34733481. DOI: 10.1029/2018GL081746
  10. Deardorff, J.W. (1970) A numerical study of three-dimensional turbulent channel flow at large Reynolds numbers. Journal of Fluid Mechanics, 41: 453480. DOI: 10.1017/S0022112070000691
  11. Ekman, A.M.L., Wang, C., Ström, J. and Krejci, R. (2006) Explicit simulation of aerosol physics in a cloud-resolving model: aerosol transport and processing in the free troposphere. J. Atmos. Sci., 63: 682696. DOI: 10.1175/JAS3645.1
  12. Ekman, A.M.L., Wang, C., Wilson, J. and Ström, J. (2004) Explicit simulations of aerosol physics in a cloud-resolving model: a sensitivity study based on an observed convective cloud. Atmospheric Chemistry and Physics, 4: 773791. DOI: 10.5194/acp-4-773-2004
  13. Feingold, G., Ghate, V. P., Russell, L. M., Blossey, P., Cantrell, W., Christensen, M. W., Diamond, M. S., Gettelman, A., Glassmeier, F. and More Authors. (2024) Physical science research needed to evaluate the viability and risks of marine cloud brightening. Science Advances, 10(12): Article eadi8594. DOI: 10.1126/sciadv.adi8594
  14. Georgakaki, P., Bougiatioti, A., Wieder, J., Mignani, C., Ramelli, F., Kanji, Z.A., Henneberger, J., Hervo, M., Berne, A., Lohmann, U. and Nenes, A. (2021) On the drivers of droplet variability in alpine mixed-phase clouds. Atmospheric Chemistry and Physics, 21: 1099311012. DOI: 10.5194/acp-21-10993-2021
  15. Glassmeier, F., Hoffmann, F., Johnson, J.S., Yamaguchi, T., Carslaw, K.S. and Feingold, G. (2019) An emulator approach to stratocumulus susceptibility. Atmospheric Chemistry and Physics, 19: 1019110203. DOI: 10.5194/acp-19-10191-2019
  16. Grabowski, W. (2016) Towards global large eddy simulation: Super-parameterization revisited. 気象集誌. 第2輯 advpub. DOI: 10.2151/jmsj.2016-017
  17. Grabowski, W.W., Morrison, H., Shima, S.-I., Abade, G.C., Dziekan, P. and Pawlowska, H. (2018) Modeling of cloud microphysics: Can we do better? Bull. Amer. Meteor. Soc., 100: 655672. DOI: 10.1175/BAMS-D-18-0005.1
  18. Guy, H., Brooks, I.M., Carslaw, K.S., Murray, B.J., Walden, V.P., Shupe, M.D., Pettersen, C., Turner, D.D., Cox, C.J., Neff, W.D., Bennartz, R. and Neely, R.R III.. (2021) Controls on surface aerosol number concentrations and aerosol-limited cloud regimes over the central Greenland Ice Sheet. Atmospheric Chemistry and Physics Discussions, 136. DOI: 10.5194/acp-2021-491
  19. Hudson, J.G. and Noble, S. (2014) CCN and vertical velocity influences on droplet concentrations and supersaturations in clean and polluted stratus clouds. Journal of the Atmospheric Sciences, 71: 312331. DOI: 10.1175/JAS-D-13-086.1
  20. Kacarab, M., Thornhill, K.L., Dobracki, A., Howell, S.G., O’Brien, J.R., Freitag, S., Poellot, M.R., Wood, R., Zuidema, P., Redemann, J. and Nenes, A. (2020) Biomass burning aerosol as a modulator of the droplet number in the southeast Atlantic region. Atmospheric Chemistry and Physics, 20: 30293040. DOI: 10.5194/acp-20-3029-2020
  21. Khain, A.P., Beheng, K.D., Heymsfield, A., Korolev, A., Krichak, S.O., Levin, Z., Pinsky, M., Phillips, V., Prabhakaran, T., Teller, A., Heever, S.C. van den and Yano, J.-I. (2015) Representation of microphysical processes in cloud-resolving models: Spectral (bin) microphysics versus bulk parameterization. Reviews of Geophysics, 53: 247322. DOI: 10.1002/2014RG000468
  22. Khain, A.P. and Pokrovsky, A. (2004) Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model. Part II: Sensitivity study. J. Atmos. Sci., 61: 29833000. DOI: 10.1175/JAS-3281.1
  23. Khairoutdinov, M. and Kogan, Y. (2000) A new cloud physics parameterization in a large-eddy simulation model of marine stratocumulus. Mon. Weather Rev., 128: 229243. DOI: 10.1175/1520-0493(2000)128<;0229:ANCPPI>2.0.CO;2
  24. Khvorostyanov, V.I. and Curry, J.A. (2006) Aerosol size spectra and CCN activity spectra: Reconciling the lognormal, algebraic, and power laws. Journal of Geophysical Research: Atmospheres, 111. DOI: 10.1029/2005JD006532
  25. Köhler, H. (1921) Zur kondensation des wasserdampfes in der atmosphäre. I kommission hos Cammermeyers boghandel Kristiania.
  26. Korolev, A., Khain, A., Pinsky, M. and French, J. (2016) Theoretical study of mixing in liquid clouds – Part 1: Classical concepts. Atmospheric Chemistry and Physics, 16: 92359254. DOI: 10.5194/acp-16-9235-2016
  27. L’Ecuyer, T.S., Hang, Y., Matus, A.V. and Wang, Z. (2019) Reassessing the effect of cloud type on Earth’s energy balance in the age of active spaceborne observations. Part I: Top of Atmosphere and Surface. Journal of Climate, 32: 61976217. DOI: 10.1175/JCLI-D-18-0753.1
  28. Loftus, A.M. (2018) Towards an enhanced droplet activation scheme for multi-moment bulk microphysics schemes. Atmospheric Research, 214: 442449. DOI: 10.1016/j.atmosres.2018.08.025
  29. Lohmann, U., Lüönd, F. and Mahrt, F. (2016) An introduction to clouds. Cambridge University Press. DOI: 10.1017/CBO9781139087513
  30. Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S.L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M.I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J.B.R., Maycock, T.K., Waterfield, T., Yelekçi, O. and Yu, R.B.Z. (eds.) (2021) Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. In Press.
  31. Miles, N.L., Verlinde, J. and Clothiaux, E.E. (2000) Cloud droplet size distributions in low-level stratiform clouds. J. Atmos. Sci., 57: 295311. DOI: 10.1175/1520-0469(2000)057<;0295:CDSDIL>2.0.CO;2
  32. Misumi, R., Uji, Y., Miura, K., Mori, T., Tobo, Y. and Iwamoto, Y. (2022) Classification of aerosol-cloud interaction regimes over Tokyo. Atmospheric Research, 272: 106150. DOI: 10.1016/j.atmosres.2022.106150
  33. Moeng, C.-H. and Sullivan, P.P. (2015) NUMERICAL MODELS | Large-eddy simulation. In: North, G.R., Pyle, J., Zhang, F. (eds.) Encyclopedia of atmospheric sciences (second edition) Oxford: Academic Press. pp. 232240. DOI: 10.1016/B978-0-12-382225-3.00201-2
  34. Morales Betancourt, R., Nenes, A. (2014) Droplet activation parameterization: the population-splitting concept revisited. Geoscientific Model Development, 7: 23452357. DOI: 10.5194/gmd-7-2345-2014
  35. Morrison, H., Curry, J.A., Khvorostyanov, V.I. (2005) A new double-moment microphysics parameterization for application in cloud and climate models. Part I: Description. Journal of the Atmospheric Sciences, 62: 16651677. DOI: 10.1175/JAS3446.1
  36. Morrison, H., Grabowski, W.W. (2008) Modeling supersaturation and subgrid-scale mixing with two-moment bulk warm microphysics. J. Atmos. Sci., 65: 792812. DOI: 10.1175/2007JAS2374.1
  37. Nenes, A., Ghan, S., Abdul-Razzak, H., Chuang, P.Y. and Seinfeld, J.H. (2001) Kinetic limitations on cloud droplet formation and impact on cloud albedo. Tellus B: Chemical and Physical Meteorology, 53: 133149. DOI: 10.1034/j.1600-0889.2001.d01-12.x
  38. Ong, C.R., Koike, M., Hashino, T. and Miura, H. (2022) Modeling performance of SCALE-AMPS: Simulations of arctic mixed-phase clouds observed during SHEBA. Journal of Advances in Modeling Earth Systems, 14: e2021MS002887. DOI: 10.1029/2021MS002887
  39. Painemal, D. and Zuidema, P. (2011) Assessment of MODIS cloud effective radius and optical thickness retrievals over the Southeast Pacific with VOCALS-REx in situ measurements. Journal of Geophysical Research: Atmospheres, 116. DOI: 10.1029/2011JD016155
  40. Petters, M.D. and Kreidenweis, S.M. (2007) A single parameter representation of hygroscopic growth and cloud condensation nucleus activity. Atmospheric Chemistry and Physics, 7: 19611971. DOI: 10.5194/acp-7-1961-2007
  41. Pruppacher, H.R. and Klett, J.D. (1996) Microphysics of clouds and precipitation: Microphysics of clouds and precipitation: An introduction to cloud chemistry and cloud electricity. Dordrecht: Springer.
  42. Quaas, J., Arola, A., Cairns, B., Christensen, M., Deneke, H., Ekman, A.M.L., Feingold, G., Fridlind, A., Gryspeerdt, E., Hasekamp, O., Li, Z., Lipponen, A., Ma, P.-L., Mülmenstädt, J., Nenes, A., Penner, J., Rosenfeld, D., Schrödner, R., Sinclair, K., Sourdeval, O., Stier, P., Tesche, M., Diedenhoven, B. and van Wendisch, M. (2020) Constraining the Twomey effect from satellite observations: Issues and perspectives. Atmospheric Chemistry and Physics Discussions, 131. DOI: 10.5194/acp-2020-279
  43. Reisin, T., Levin, Z. and Tzivion, S. (1996) Rain production in convective clouds as simulated in an axisymmetric model with detailed microphysics. Part I: Description of the model. Journal of Atmospheric Sciences, 53: 497520. DOI: 10.1175/1520-0469(1996)053<;0497:RPICCA>2.0.CO;2
  44. Reutter, P., Su, H., Trentmann, J., Simmel, M., Rose, D., Gunthe, S.S., Wernli, H., Andreae, M.O. and Pöschl, U. (2009) Aerosol- and updraft-limited regimes of cloud droplet formation: influence of particle number, size and hygroscopicity on the activation of cloud condensation nuclei (CCN). Atmospheric Chemistry and Physics, 9: 70677080. DOI: 10.5194/acp-9-7067-2009
  45. Rothenberg, D. and Wang, C. (2016) Metamodeling of droplet activation for global climate models. J. Atmos. Sci., 73: 12551272. DOI: 10.1175/JAS-D-15-0223.1
  46. Saleeby, S.M. and van den Heever, S.C. (2013) Developments in the CSU-RAMS aerosol model: Emissions, nucleation, regeneration, deposition, and radiation. J. Appl. Meteorol. Climatol., 52: 26012622. DOI: 10.1175/JAMC-D-12-0312.1
  47. Savre, J. (2021) Formation and maintenance of subsiding shells around non-precipitating and precipitating cumulus clouds. Quarterly Journal of the Royal Meteorological Society, 147: 728745. DOI: 10.1002/qj.3942
  48. Savre, J., Ekman, A.M.L. and Svensson, G. (2014) Technical note: Introduction to MIMICA, a large-eddy simulation solver for cloudy planetary boundary layers. Journal of Advances in Modeling Earth Systems, 6: 630649. DOI: 10.1002/2013MS000292
  49. Seifert, A. and Beheng, K.D. (2001) A double-moment parameterization for simulating autoconversion, accretion and selfcollection. In: Atmospheric Research, 13th International Conference on Clouds and Precipitation, pp. 59–60: 265281. DOI: 10.1016/S0169-8095(01)00126-0
  50. Seifert, A. and Beheng, K.D. (2006) A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 1: Model description. Meteorol. Atmos. Phys., 92: 4566. DOI: 10.1007/s00703-005-0112-4
  51. Shima, S.-I., Kusano, K, Kawano, A. Sugiyama, T. and Kawahara, S. (2009) The superdroplet method for the numerical simulation of clouds and precipitation: A particle-based and probabilistic microphysics model coupled with a non-hydrostatic model. Quart. J. Roy. Meteor. Soc., 135: 13071320. DOI: 10.1002/qj.441
  52. Stephens, G.L., Li, J., Wild, M., Clayson, C.A., Loeb, N., Kato, S., L’Ecuyer, T., Stackhouse, P.W., Lebsock, M. and Andrews, T. (2012) An update on Earth’s energy balance in light of the latest global observations. Nature Geoscience, 5: 691696. DOI: 10.1038/ngeo1580
  53. Stevens, B., Lenschow, D.H., Vali, G., Gerber, H., Bandy, A., Blomquist, B., Brenguier, J.-L., Bretherton, C.S., Burnet, F., Campos, T., Chai, S., Faloona, I., Friesen, D., Haimov, S., Laursen, K., Lilly, D.K., Loehrer, S.M., Malinowski, S.P., Morley, B., Petters, M.D., Rogers, D.C., Russell, L., Savic-Jovcic, V., Snider, J.R., Straub, D., Szumowski, M.J., Takagi, H., Thornton, D.C., Tschudi, M., Twohy, C., Wetzel, M. and van Zanten, M.C. (2003) Dynamics and chemistry of marine stratocumulus—DYCOMS-II. Bull. Amer. Meteor. Soc., 84: 579594. DOI: 10.1175/BAMS-84-5-579
  54. Stoll, R., Gibbs, J.A., Salesky, S.T., Anderson, W. and Calaf, M. (2020) Large-eddy simulation of the atmospheric boundary layer. Boundary-Layer Meteorol, 177: 541581. DOI: 10.1007/s10546-020-00556-3
  55. Sullivan, S.C., Lee, D., Oreopoulos, L. and Nenes, A. (2016) Role of updraft velocity in temporal variability of global cloud hydrometeor number. Proc Natl Acad Sci USA, 113: 57915796. DOI: 10.1073/pnas.1514039113
  56. Tonttila, J., Maalick, Z., Raatikainen, T., Kokkola, H., Kühn, T. and Romakkaniemi, S. (2017) UCLALES–SALSA v1.0: A large-eddy model with interactive sectional microphysics for aerosol, clouds and precipitation. Geoscientific Model Development, 10: 169188. DOI: 10.5194/gmd-10-169-2017
  57. Twomey, S. (1959) The nuclei of natural cloud formation part II: The supersaturation in natural clouds and the variation of cloud droplet concentration. Geofisica Pura e Applicata, 43: 243249. DOI: 10.1007/BF01993560
  58. Twomey, S. (1974) Pollution and the planetary albedo. Atmospheric Environment (1967), 8: 12511256. DOI: 10.1016/0004-6981(74)90004-3
  59. vanZanten, M.C. and Stevens, B. (2005) Observations of the Structure of Heavily Precipitating Marine Stratocumulus. J. Atmos. Sci., 62: 43274342. DOI: 10.1175/JAS3611.1
  60. Wang, C. and Chang, J.S. (1993) A three-dimensional numerical model of cloud dynamics, microphysics, and chemistry: 1. Concepts and formulation. Journal of Geophysical Research: Atmospheres, 98: 1482714844. DOI: 10.1029/92JD01393
  61. Wood, R. (2005) Drizzle in stratiform boundary layer clouds. Part I: Vertical and horizontal structure. J. Atmos. Sci., 62: 30113033. DOI: 10.1175/JAS3529.1
  62. Wood, R. (2012) Stratocumulus clouds. Mon. Wea. Rev., 140: 23732423. DOI: 10.1175/MWR-D-11-00121.1
  63. Zhao, L., Zhao, C., Wang, Y., Wang, Y. and Yang, Y. (2020) Evaluation of cloud microphysical properties derived from MODIS and Himawari-8 using In situ aircraft measurements over the southern ocean. Earth and Space Science, 7: e2020EA001137. DOI: 10.1029/2020EA001137
DOI: https://doi.org/10.16993/tellusb.94 | Journal eISSN: 1600-0889
Language: English
Page range: 32 - 46
Submitted on: Jul 12, 2022
Accepted on: Sep 2, 2024
Published on: Oct 15, 2024
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2024 Matthias Schwarz, Julien Savre, Dipu Sudhakar, Johannes Quaas, Annica M. L. Ekman, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.