Impact of large-scale dynamics on the microphysical properties of midlatitude cirrus

Journal of Geophysical Research

Volumn 119, Issue 7, 2014, Pages 3976-3996

  Muhlbauer, Andreas ^a   Ackerman, Thomas P ^a   Comstock, Jennifer M ^b   Diskin, Glenn S ^c   Evans, Stuart M ^a   Lawson, R Paul ^d   Marchand, Roger T ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^c NASA LANGLEY RESEARCH CENTER   (United States)

^d SPEC INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOL; ATMOSPHERIC CORRECTION; CIRRUS; CLUSTER ANALYSIS; CONCENTRATION (COMPOSITION); FRONT; METEOROLOGY; RADAR; WAVELENGTH;

EID: 84900523423     PISSN: 01480227     EISSN: 21562202     Source Type: Journal    
DOI: 10.1002/2013JD020035     Document Type: Article

References (60)

1. Ackerman, T. P., K. N. Liou, F. P. J. Valero, and L. Pfister (1988), Heating rates in tropical anvils, J. Atmos. Sci., 45(10), 1606–1623.
2. Berry, E., and G. G. Mace (2013), Cirrus cloud properties and the large-scale meteorological environment: Relationships derived from A-Train and NCEP-NCAR Reanalysis data, J. Appl. Meteorol. Climatol., 52(5), 1253–1276.
3. Clothiaux, E. E., T. P. Ackerman, G. G. Mace, K. P. Moran, R. T. Marchand, M. A. Miller, and B. E. Martner (2000), Objective determination of cloud heights and radar reflectivities using a combination of active remote sensors at the ARM CART sites, J. Appl. Meteorol., 39(5), 645–665.
4. Dee, D. P., et al. (2011), The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. R. Meteorol. Soc., 137(656), 553–597.
5. Deng, M., G. G. Mace, Z. Wang, and R. P. Lawson (2013), Evaluation of several A-Train ice cloud retrieval products with in situ measurements collected during the SPARTICUS campaign, J. Appl. Meteorol. Climatol., 52, 1014–1030.
6. Eixmann, R., D. H. W. Peters, C. Zuelicke, M. Gerding, and A. Doernbrack (2010), On the upper tropospheric formation and occurrence of high and thin cirrus clouds during anticyclonic poleward Rossby wave breaking events, Tellus, 62(3), 228–242.
7. Evans, S. M., R. T. Marchand, T. P. Ackerman, and N. Beagley (2012), Identification and analysis of atmospheric states and associated cloud properties for Darwin, australia, J. Geophys. Res., 117, D06204, doi:10.1029/2011JD017010.
8. Gao, R. S., et al. (2004), Evidence that nitric acid increases relative humidity in low-temperature cirrus clouds, Science, 303(516), 516–520.
9. Garrett, T. J., A. J. Heymsfield, M. J. McGill, B. A. Ridley, D. G. Baumgardner, T. P. Bui, and C. R. Webster (2004), Convective generation of cirrus near the tropopause, J. Geophys. Res., 109, D21203, doi:10.1029/2004JD004952.
10. Gettelman, A., X. Liu, S. J. Ghan, H. Morrison, S. Park, A. J. Conley, S. A. Klein, J. Boyle, D. L. Mitchell, and J. L. F. Li (2010), Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere model, J. Geophys. Res., 115, D18216, doi:10.1029/2009JD013797.
11. Gultepe, I., and D. O. Starr (1995), Dynamical structure and turbulence in cirrus clouds: Aircraft observations during FIRE, J. Atmos. Sci., 52(23), 4159–4181.
12. Gultepe, I., A. J. Heymsfield, and D. H. Lenschow (1990), A comparison of vertical velocity in cirrus obtained from aircraft and lidar divergence measurements during fire, J. Atmos. Oceanic Technol., 7(1), 58–67.
13. Gultepe, I., D. O. Starr, A. J. Heymsfield, T. Uttal, T. P. Ackerman, and D. L. Westphal (1995), Dynamical characteristics of cirrus clouds from aircraft and radar observations in micro and meso-γ scales, J. Atmos. Sci., 52(23), 4060–4078.
14. Heymsfield, A. J. (2003a), Properties of tropical and midlatitude ice cloud particle ensembles. Part I: Median mass diameters and terminal velocities, J. Atmos. Sci., 60(21), 2573–2591.
15. Heymsfield, A. J. (2003b), Properties of tropical and midlatitude ice cloud particle ensembles. Part II: Applications for mesoscale and climate models, J. Atmos. Sci., 60(21), 2592–2611.
16. Heymsfield, A. J., A. Bansemer, P. R. Field, S. L. Durden, J. L. Stith, J. E. Dye, W. Hall, and C. A. Grainger (2002), Observations and parameterizations of particle size distributions in deep tropical cirrus and stratiform precipitating clouds: Results from in situ observations in TRMM field campaigns, J. Atmos. Sci., 59(24), 3457–3491.
17. Ivanova, D., D. L. Mitchell, W. P. Arnott, and M. Poellot (2001), A GCM parameterization for bimodal size spectra and ice mass removal rates in mid-latitude cirrus clouds, Atmos. Res., 59, 89–113.
18. Jackson, R. C., G. M. McFarquhar, A. V. Korolev, M. E. Earle, P. S. K. Liu, R. P. Lawson, S. Brooks, M. Wolde, A. Laskin, and M. Freer (2012), The dependence of ice microphysics on aerosol concentration in arctic mixed-phase stratus clouds during ISDAC and m-pace, J. Geophys. Res., 117, D15207, doi:10.1029/2012JD017668.
19. Jensen, E., et al. (2009), On the importance of small ice crystals in tropical anvil cirrus, Atmos. Chem. Phys., 9(15), 5519–5537.
20. Jensen, E. J., R. P. Lawson, J. W. Bergman, L. Pfister, T. P. Bui, and C. G. Schmitt (2013), Physical processes controlling ice concentrations in synoptically forced, midlatitude cirrus, J. Geophys. Res. Atmos., 118, 5348–5360, doi:10.1002/jgrd.50421.
21. Joos, H., P. Spichtinger, U. Lohmann, J. F. Gayet, and A. Minikin (2008), Orographic cirrus in the global climate model echam5, J. Geophys. Res., 113, D18205, doi:10.1029/2007JD009605.
22. Kalesse, H., and P. Kollias (2013), Climatology of high cloud dynamics using profiling ARM Doppler radar observations, J. Clim., 26, 6340–6359, doi:10.1175/JCLI–D–12–00695.1.
23. Karcher, B., and J. Strom (2003), The roles of dynamical variability and aerosols in cirrus cloud formation, Atmos. Chem. Phys., 3, 823–838.
24. Koop, T., B. P. Luo, A. Tsias, and T. Peter (2000), Water activity as the determinant for homogeneous ice nucleation in aqueous solutions, Nature, 406(6796), 611–614.
25. Korolev, A. (2007), Reconstruction of the sizes of spherical particles from their shadow impages. Part I: Theoretical considerations, J. Atmos. Oceanic Technol., 24, 376–389.
26. Korolev, A., and G. A. Isaac (2005), Shattering during sampling by OAPs and HVPS. Part I: Snow particles, J. Atmos. Oceanic Technol., 22(5), 528–542.
27. Korolev, A. V., E. F. Emery, J. W. Strapp, S. G. Cober, G. A. Isaac, M. Wasey, and D. Marcotte (2011), Small ice particles in tropospheric clouds: Fact or artifact? Airborne icing instrumentation evaluation experiment, Bull. Am. Meteorol. Soc., 92(8), 967–973.
28. Kozu, T., and K. Nakamura (1991), Rainfall parameter-estimation from dual-radar measurements combining reflectivity profile and path-integrated attenuation, J. Atmos. Oceanic Technol., 8(2), 259–270.
29. Kraemer, M., et al. (2009), Ice supersaturations and cirrus cloud crystal numbers, Atmos. Chem. Phys., 9(11), 3505–3522.
30. Lawson, R. P. (2011), Effects of ice particles shattering on the 2D-S probe, Atmos. Meas. Tech., 4(7), 1361–1381.
31. Lawson, R. P., L. J. Angus, and A. J. Heymsfield (1998), Cloud particle measurements in thunderstorm anvils and possible weather threat to aviation, J. Aircr., 35(1), 113–121.
32. Lawson, R. P., D. O’Connor, P. Zmarzly, K. Weaver, B. Baker, and Q. Mo (2006), The 2D-S (Stereo) probe: Design and preliminary tests of a new airborne, high-speed, high-resolution particle imaging probe, J. Atmos. Oceanic Technol., 23(11), 1462–1477.
33. Lawson, R. P., E. Jensen, D. L. Mitchell, B. Baker, Q. Mo, and B. Pilson (2010), Microphysical and radiative properties of tropical clouds investigated in tc4 and namma, J. Geophys. Res., 115, D00J08, doi:10.1029/2009JD013017.
34. Lenschow, D. H. (1972), The measurement of air velocity and temperature using the NCAR Buffalo Aircraft Measuring System, Tech. Rep., Natl. Cent. for Atmos. Res., Boulder, Colo.
35. Liu, X., J. E. Penner, S. J. Ghan, and M. Wang (2007), Inclusion of ice microphysics in the NCAR community atmospheric model version 3 (cam3), J. Clim., 20(18), 4526–4547.
36. Mace, G. G., D. O. Starr, T. P. Ackerman, and P. Minnis (1995), Examination of coupling between an upper-tropospheric cloud system and synoptic-scale dynamics diagnosed from wind profiler and radiosonde data, J. Atmos. Sci., 52(23), 4094–4127.
37. Mace, G. G., T. P. Ackerman, E. E. Clothiaux, and B. A. Albrecht (1997), A study of composite citrus morphology using data from a 94-GHz radar and correlations with temperature and large-scale vertical motion, J. Geophys. Res., 102(D12), 13,581–13,593.
38. Mace, G. G., E. E. Clothiaux, and T. P. Ackerman (2001), The composite characteristics of cirrus clouds: Bulk properties revealed by one year of continuous cloud radar data, J. Clim., 14(10), 2185–2203.
39. Mace, G. G., S. Benson, and E. Vernon (2006), Cirrus clouds and the large-scale atmospheric state: Relationships revealed by six years of ground-based data, J. Clim., 19(13), 3257–3278.
40. Marchand, R., N. Beagley, S. E. Thompson, T. P. Ackerman, and D. M. Schultz (2006), A bootstrap technique for testing the relationship between local-scale radar observations of cloud occurrence and large-scale atmospheric fields, J. Atmos. Sci., 63(11), 2813–2830.
41. Marchand, R., N. Beagley, and T. P. Ackerman (2009), Evaluation of hydrometeor occurrence profiles in the multiscale modeling framework climate model using atmospheric classification, J. Clim., 22(17), 4557–4573.
42. McFarquhar, G. M., J. Um, M. Freer, D. Baumgardner, G. L. Kok, and G. Mace (2007), Importance of small ice crystals to cirrus properties: Observations from the Tropical Warm Pool International Cloud Experiment (TWP-ICE), Geophys. Res. Lett., 34, L13803, doi:10.1029/2007GL029865.
43. Mitchell, D. L. (1991), Evolution of snow-size spectra in cyclonic storms. 2. Deviations from the exponential form, J. Atmos. Sci., 48(16), 1885–1899.
44. Mitchell, D. L., P. Rasch, D. Ivanova, G. McFarquhar, and T. Nousiainen (2008), Impact of small ice crystal assumptions on ice sedimentation rates in cirrus clouds and GCM simulations, Geophys. Res. Lett., 35, L09806, doi:10.1029/2008GL033552.
45. Mitchell, D. L., S. Mishra, and R. P. Lawson (2011), Representing the ice fall speed in climate models: Results from Tropical Composition, Cloud and Climate Coupling (TC4) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC), J. Geophys. Res., 116, D00T03, doi:10.1029/2010JD015433.
46. Muelmenstaedt, J., D. Lubin, L. M. Russell, and A. M. Vogelmann (2012), Cloud properties over the North Slope of Alaska: Identifying the prevailing meteorological regimes, J. Clim., 25(23), 8238–8258.
47. Murphy, D. M., and T. Koop (2005), Review of the vapour pressure of ice and supercooled water for atmospheric applications, Q. J. R. Meteorol. Soc., 131, 1539–1565.
48. Quante, M. (2006), Turbulenz in Cirruswolken mittlerer Breite, Ph.D. thesis, Universität Hamburg, 168 pp.
49. Sanderson, B. M., C. Piani, W. Ingram, D. A. Stone, and M. R. Allen (2008), Towards constraining climate sensitivity by linear analysis of feedback patterns in thousands of perturbed-physics GCM simulations, Clim. Dyn., 30(2–3), 175–190.
50. Sassen, K. (1997), Cirrus clouds: A modern perspective, in Cirrus, edited by D. Lynch, pp. 11–40, Oxford Univ. Press, New York.
51. Sassen, K., and J. R. Campbell (2001), A midlatitude cirrus cloud climatology from the facility for atmospheric remote sensing. Part I: Macrophysical and synoptic properties, J. Atmos. Sci., 58(5), 481–496.
52. Sassen, K., Z. Wang, and D. Liu (2008), Global distribution of cirrus clouds from CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) measurements, J. Geophys. Res., 113, D00A12, doi:10.1029/2008JD009972.
53. Saw, E.-W., J. P. L. C. Salazar, L. R. Collins, and R. A. Shaw (2012a), Spatial clustering of polydisperse inertial particles in turbulence: I. Comparing simulation with theory, New J. Phys., 14, 105030, doi:10.1088/1367–2630/14/10/105031.
54. Saw, E.-W., R. A. Shaw, J. P. L. C. Salazar, and L. R. Collins (2012b), Spatial clustering of polydisperse inertial particles in turbulence: II. Comparing simulation with experiment, New J. Phys., 14, 105031, doi:10.1088/1367–2630/14/10/105031.
55. Spichtinger, P., K. Gierens, and H. Wernli (2005a), A case study on the formation and evolution of ice supersaturation in the vicinity of a warm conveyor belt’s outflow region, Atmos. Chem. Phys., 5, 973–987.
56. Spichtinger, P., K. Gierens, and A. Dornbrack (2005b), Formation of ice supersaturation by mesoscale gravity waves, Atmos. Chem. Phys., 5, 1243–1255.
57. Stubenrauch, C. J., A. Chedin, G. Radel, N. A. Scott, and S. Serrar (2006), Cloud properties and their seasonal and diurnal variability from TOVS path-B, J. Clim., 19(21), 5531–5553.
58. Zelinka, M. D., S. A. Klein, and D. L. Hartmann (2012), Computing and partitioning cloud feedbacks using cloud property histograms. Part I: Cloud radiative kernels, J. Clim., 25(11), 3715–3735.
59. Zhang, K., X. Liu, M. Wang, J. M. Comstock, D. L. Mitchell, S. Mishra, and G. G. Mace (2013), Evaluating and constraining ice cloud parameterizations in cam5 using aircraft measurements from the sparticus campaign, Atmos. Chem. Phys., 13, 4963–4982.
60. Zhao, Y., G. G. Mace, and J. M. Comstock (2011), The occurrence of particle size distribution bimodality in midlatitude cirrus as inferred from ground-based remote sensing data, J. Atmos. Sci., 68(6), 1162–1177.