Articles | Volume 16, issue 23
https://doi.org/10.5194/acp-16-15135-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-15135-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Dec 2016
Research article |
| 07 Dec 2016
Comparison of retrieved noctilucent cloud particle properties from Odin tomography scans and model simulations
Department of Meteorology, Stockholm University, Stockholm, Sweden
Ole M. Christensen
Department of Meteorology, Stockholm University, Stockholm, Sweden
Bodil Karlsson
Department of Meteorology, Stockholm University, Stockholm, Sweden
Susanne Benze
Department of Meteorology, Stockholm University, Stockholm, Sweden
Victor I. Fomichev
CRESS, York University, Toronto, Canada
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Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Mesosphere | Science Focus: Physics (physical properties and processes)
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Cited articles
Asmus, H., Robertson, S., Dickson, S., Friedrich, M., and Megner, L.: Charge balance for the mesosphere with meteoric dust particles, J. Atmos. Sol.-Terr. Phy., 127, 137–149, https://doi.org/10.1016/j.jastp.2014.07.010, 2015.
Bailey, S. M., Thomas, G. E., Hervig, M. E., and Lumpe, J. D.: Comparing nadir and limb observations of polar mesospheric clouds: The effect of the assumed particle size distribution, J. Atmos. Sol.-Terr. Phy., 127, 51–65, https://doi.org/10.1016/j.jastp.2015.02.007, 2015.
Bardeen, C. G., Toon, O. B., Jensen, E. J., Marsh, D. R., and Harvey, V. L.: Numerical simulations of the three-dimensional distribution of meteoric dust in the mesosphere and upper stratosphere, J. Geophys. Res., 113, D17202, https://doi.org/10.1029/2007JD009515, 2008.
Barth, C. A., Rusch, D. W., Thomas, R. J., Mount, G. H., Rottman, G. J., Thomas, G. E., Sanders, R. W., and Lawrence, G. M.: Solar Mesosphere Explorer: Scientific objectives and results, Geophys. Res. Lett., 10, 237–240, https://doi.org/10.1029/GL010i004p00237, 1983.
Baumgarten, G., Fiedler, J., Lübken, F.-J., and von Cossart, G.: Particle properties and water content of noctilucent clouds and their interannual variation, J. Geophys. Res.-Atmos., 113, D06203, https://doi.org/10.1029/2007JD008884, 2008.
Baumgarten, G., Fiedler, J., and Rapp, M.: On microphysical processes of noctilucent clouds (NLC): observations and modeling of mean and width of the particle size-distribution, Atmos. Chem. Phys., 10, 6661–6668, https://doi.org/10.5194/acp-10-6661-2010, 2010.
Beagley, S. R., Boone, C. D., Fomichev, V. I., Jin, J. J., Semeniuk, K., McConnell, J. C., and Bernath, P. F.: First multi-year occultation observations of CO2 in the MLT by ACE satellite: observations and analysis using the extended CMAM, Atmos. Chem. Phys., 10, 1133–1153, https://doi.org/10.5194/acp-10-1133-2010, 2010.
Berger, U.: Icy particles in the summer mesopause region: Three-dimensional modeling of their environment and two-dimensional modeling of their transport, J. Geophys. Res., 107, 1366, https://doi.org/10.1029/2001JA000316, 2002.
Chandran, A., Rusch, D. W., Thomas, G. E., Palo, S. E., Baumgarten, G., Jensen, E. J., and Merkel, A. W.: Atmospheric gravity wave effects on polar mesospheric clouds: A comparison of numerical simulations from CARMA 2D with AIM observations, J. Geophys. Res.-Atmos., 117, D20104, https://doi.org/10.1029/2012JD017794, 2012.
Christensen, O. M., Eriksson, P., Urban, J., Murtagh, D., Hultgren, K., and Gumbel, J.: Tomographic retrieval of water vapour and temperature around polar mesospheric clouds using Odin-SMR, Atmos. Meas. Tech., 8, 1981–1999, https://doi.org/10.5194/amt-8-1981-2015, 2015.
Colella, P. and Woodward, P. R.: The Piecewise Parabolic Method (PPM) for gas-dynamical simulations, J. Comput. Phys., 54, 174–201, https://doi.org/10.1016/0021-9991(84)90143-8, 1984.
Eremenko, M. N., Petelina, S. V., Zasetsky, A. Y., Karlsson, B., Rinsland, C. P., Llewellyn, E. J., and Sloan, J. J.: Shape and composition of PMC particles derived from satellite remote sensing measurements, Geophys. Res. Lett., 32, L16S06, https://doi.org/10.1029/2005GL023013, 2005.
Fletcher, N. H.: Size Effect in Heterogeneous Nucleation, J. Chem. Phys., 29, 572–576, https://doi.org/10.1063/1.1744540, 1958.
Fomichev, V. I., Ward, W. E., Beagley, S. R., McLandress, C., McConnell, J. C., McFarlane, N. A., and Shepherd, T. G.: Extended Canadian Middle Atmosphere Model: Zonal-mean climatology and physical parameterizations, J. Geophys. Res., 107, 4087, https://doi.org/10.1029/2001JD000479, 2002.
Gumbel, J. and Megner, L.: Charged meteoric smoke as ice nuclei in the mesosphere: Part 1 – A review of basic concepts, J. Atmos. Sol.-Terr. Phy., 71, 1225–1235, https://doi.org/10.1016/j.jastp.2009.04.012, 2009.
Hansen, G., Serwazi, M., and von Zahn, U.: First detection of a noctilucent cloud by lidar, Geophys. Res. Lett., 16, 1445–1448, https://doi.org/10.1029/GL016i012p01445, 1989.
Hedin, J., Gumbel, J., and Rapp, M.: On the efficiency of rocket-borne particle detection in the mesosphere, Atmos. Chem. Phys., 7, 3701–3711, 10.5194/acp-7-3701-2007, 2007.
Höffner, J. and Lübken, F. J.: Potassium lidar temperatures and densities in the mesopause region at Spitsbergen (78° N), J. Geophys. Res.-Atmos., 112, D20114, https://doi.org/10.1029/2007jd008612, 2007.
Hultgren, K. and Gumbel, J.: Tomographic and spectral views on the lifecycle of polar mesospheric clouds from Odin/OSIRIS, J. Geophys. Res.-Atmos., 119, 14129–14143, https://doi.org/10.1002/2014jd022435, 2014.
Hultgren, K., Gumbel, J., Degenstein, D., Bourassa, A., Lloyd, N., and Stegman, J.: First simultaneous retrievals of horizontal and vertical structures of polar mesospheric clouds from Odin/OSIRIS tomography, J. Atmos. Sol.-Terr. Phy., 104, 213–223, 2013.
Hunten, D. M., Turco, R. P., and Toon, O. B.: Smoke and dust particles of meteoric origin in the Mesosphere and Stratosphere, J. Atmos. Sci., 37, 1342–1357, 1980.
Karlsson, B. and Gumbel, J.: Challenges in the limb retrieval of noctilucent cloud properties from Odin/OSIRIS, Adv. Space Res., 36, 935–942, https://doi.org/10.1016/j.asr.2005.04.074, 2005.
Keesee, R. G.: Nucleation and particle formation in the upper atmosphere, J. Geophys. Res.-Atmos., 94, 14683–14692, https://doi.org/10.1029/JD094iD12p14683, 1989.
Kiliani, J., Baumgarten, G., Lübken, F.-J., and Berger, U.: Impact of particle shape on the morphology of noctilucent clouds, Atmos. Chem. Phys., 15, 12897–12907, https://doi.org/10.5194/acp-15-12897-2015, 2015.
Leslie, R.: Sky glows, Nature, 32, p. 245, 1885.
Llewellyn, E. J., Lloyd, N. D., Degenstein, D. A., Gattinger, R. L., Petelina, S., and Bourassa, A. E.: The OSIRIS instrument on the Odin spacecraft, Can. J. Phys., 82, 411–422, https://doi.org/10.1139/p04-005, 2004.
Lübken, F. J.: Seasonal variation of turbulent energy dissipation rates at high latitudes as determined by in situ measurements of neutral density fluctuations, J. Geophys. Res.-Atmos., 102, 13441–13456, https://doi.org/10.1029/97JD00853, 1997.
Lübken, F.-J., Rapp, M., and Strelnikova, I.: The sensitivity of mesospheric ice layers to atmospheric background temperatures and water vapor, Adv. Space Res., 40, 794–801, https://doi.org/10.1016/j.asr.2007.01.014, 2007.
McLandress, C., Ward, W. E., Fomichev, V. I., Semeniuk, K., Beagley, S. R., McFarlane, N. A., and Shepherd, T. G.: Large-scale dynamics of the mesosphere and lower thermosphere: An analysis using the extended Canadian Middle Atmosphere Model, J. Geophys. Res., 111, D17111, https://doi.org/10.1029/2005JD006776, 2006.
Megner, L.: Minimal impact of condensation nuclei characteristics on observable Mesospheric ice properties, J. Atmos. Sol.-Terr. Phy., 73, 2184–2191, https://doi.org/10.1016/j.jastp.2010.08.006, 2011.
Megner, L. and Gumbel, J.: Charged meteoric particles as ice nuclei in the mesosphere: Part 2, J. Atmos. Sol.-Terr. Phy., 71, 1236–1244, https://doi.org/10.1016/j.jastp.2009.05.002, 2009.
Megner, L., Rapp, M., and Gumbel, J.: Distribution of meteoric smoke – sensitivity to microphysical properties and atmospheric conditions, Atmos. Chem. Phys., 6, 4415–4426, https://doi.org/10.5194/acp-6-4415-2006, 2006.
Megner, L., Gumbel, J., Rapp, M., and Siskind, D. E.: Reduced meteoric smoke particle density at the summer pole – Implications for mesospheric ice particle nucleation, Adv. Space Res., 41, 41–49, https://doi.org/10.1016/j.asr.2007.09.006, 2008a.
Megner, L., Siskind, D. E., Rapp, M., and Gumbel, J.: Global and temporal distribution of meteoric smoke: A two-dimensional simulation study, J. Geophys. Res.-Atmos., 113, D03202, https://doi.org/10.1029/2007JD009054, 2008b.
Merkel, A. W., Marsh, D. R., Gettelman, A., and Jensen, E. J.: On the relationship of polar mesospheric cloud ice water content, particle radius and mesospheric temperature and its use in multi-dimensional models, Atmos. Chem. Phys., 9, 8889–8901, https://doi.org/10.5194/acp-9-8889-2009, 2009.
Mishchenko, M. I. and Travis, L. D.: Capabilities and limitations of a current FORTRAN implementation of the T-matrix method for randomly oriented, rotationally symmetric scatterers, J. Quant. Spectrosc. Ra., 60, 309–324, https://doi.org/10.1016/S0022-4073(98)00008-9, 1998.
Nordh, H. L., Schéele, F. v., Frisk, U., Ahola, K., Booth, R. S., Encrenaz, P. J., Hjalmarson, Å., Kendall, D., Kyrölä, E., Kwok, S., Lecacheux, A., Leppelmeier, G., Llewellyn, E. J., Mattila, K., Mégie, G., Murtagh, D., Rougeron, M., and Witt, G.: The Odin orbital observatory, Astron. Astrophys., 402, L21–L25, 2003.
Rapp, M. and Thomas, G. E.: Modeling the microphysics of mesospheric ice particles: Assessment of current capabilities and basic sensitivities, J. Atmos. Sol.-Terr. Phy., 68, 715–744, https://doi.org/10.1016/j.jastp.2005.10.015, 2006.
Roddy, A. F.: The role of meteoric particles in noctilucent clouds, Irish Astron. J., 16, 194–202, 1984.
Sheese, P. E., Llewellyn, E. J., Gattinger, R. L., Bourassa, A. E., Degenstein, D. A., Lloyd, N. D., and McDade, I. C.: Mesopause temperatures during the polar mesospheric cloud season, Geophys. Res. Lett., 38, L11803, https://doi.org/10.1029/2011GL047437, 2011.
Stevens, M. H.: The polar mesospheric cloud mass in the Arctic summer, J. Geophys. Res., 110, A02306, https://doi.org/10.1029/2004JA010566, 2005.
Toon, O. B., Turco, R. P., Hamill, P., Kiang, C. S., and Whitten, R. C.: A One-Dimensional Model Describing Aerosol Formation and Evolution in the Stratosphere: II. Sensitivity Studies and Comparison with Observations, J. Atmos. Sci., 36, 718–736, https://doi.org/10.1175/1520-0469(1979)036<0718:AODMDA>2.0.CO;2, 1979.
Turco, R. P., Hamill, P., Toon, O. B., Whitten, R. C., and Kiang, C. S.: A One-Dimensional Model Describing Aerosol Formation and Evolution in the Stratosphere: I. Physical Processes and Mathematical Analogs, J. Atmos. Sci., 36, 699–717, https://doi.org/10.1175/1520-0469(1979)036<0699:AODMDA>2.0.CO;2, 1979.
Turco, R. P., Toon, O. B., Whitten, R. C., Keesee, R. G., and Hollenbach, D.: noctilucent clouds: Simulation studies of their genesis, properties and global influences, Planet. Space Sci., 30, 1147–1181, 1982.
Vergados, P. and Shepherd, M. G.: Retrieving mesospheric water vapour from observations of volume scattering radiances, Ann. Geophys., 27, 487–501, https://doi.org/10.5194/angeo-27-487-2009, 2009.
von Savigny, C., Petelina, S. V., Karlsson, B., Llewellyn, E. J., Degenstein, D. A., Lloyd, N. D., and Burrows, J. P.: Vertical variation of NLC particle sizes retrieved from Odin/OSIRIS limb scattering observations, Geophys. Res. Lett., 32, L07806, https://doi.org/10.1029/2004GL021982, 2005.
Witt, G.: Polarization of light from noctilucent clouds, J. Geophys. Res., 65, 925–933, https://doi.org/10.1029/JZ065i003p00925, 1960.
Short summary
Noctilucent clouds (NLCs) are ice clouds that form at the polar summer mesopause and are very sensitive to temperature. They may therefore provide a way to monitor this remote region as our atmosphere changes. We show that temperature variations in the mesosphere are crucial for the growth of ice particles and that average fields are not enough to describe the process of NLC development. The paper also emphasises the difficulties in retrieving ice particle properties from optical observations.
Noctilucent clouds (NLCs) are ice clouds that form at the polar summer mesopause and are very...
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