A microphysics guide to cirrus clouds – Part 1: Cirrus types
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Published:2016-03-16
Issue:5
Volume:16
Page:3463-3483
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Krämer MartinaORCID, Rolf ChristianORCID, Luebke Anna, Afchine ArminORCID, Spelten Nicole, Costa AnjaORCID, Meyer Jessica, Zöger Martin, Smith Jessica, Herman Robert L.ORCID, Buchholz Bernhard, Ebert VolkerORCID, Baumgardner DarrelORCID, Borrmann StephanORCID, Klingebiel Marcus, Avallone Linnea
Abstract
Abstract. The microphysical and radiative properties of cirrus clouds continue to be beyond understanding and thus still represent one of the largest uncertainties in the prediction of the Earth's climate (IPCC, 2013). Our study aims to provide a guide to cirrus microphysics, which is compiled from an extensive set of model simulations, covering the broad range of atmospheric conditions for cirrus formation and evolution. The model results are portrayed in the same parameter space as field measurements, i.e., in the Ice Water Content-Temperature (IWC-T) parameter space. We validate this cirrus analysis approach by evaluating cirrus data sets from 17 aircraft campaigns, conducted in the last 15 years, spending about 94 h in cirrus over Europe, Australia, Brazil as well as South and North America. Altogether, the approach of this study is to track cirrus IWC development with temperature by means of model simulations, compare with observations and then assign, to a certain degree, cirrus microphysics to the observations. Indeed, the field observations show characteristics expected from the simulated Cirrus Guide. For example, high (low) IWCs are found together with high (low) ice crystal concentrations Nice. An important finding from our study is the classification of two types of cirrus with differing formation mechanisms and microphysical properties: the first cirrus type forms directly as ice (in situ origin cirrus) and splits in two subclasses, depending on the prevailing strength of the updraft: in slow updrafts these cirrus are rather thin with lower IWCs, while in fast updrafts thicker cirrus with higher IWCs can form. The second type consists predominantly of thick cirrus originating from mixed phase clouds (i.e., via freezing of liquid droplets – liquid origin cirrus), which are completely glaciated while lifting to the cirrus formation temperature region (< 235 K). In the European field campaigns, slow updraft in situ origin cirrus occur frequently in low- and high-pressure systems, while fast updraft in situ cirrus appear in conjunction with jet streams or gravity waves. Also, liquid origin cirrus mostly related to warm conveyor belts are found. In the US and tropical campaigns, thick liquid origin cirrus which are formed in large convective systems are detected more frequently.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference61 articles.
1. Archuleta, C. M., DeMott, P. J., and Kreidenweis, S. M.: Ice nucleation by
surrogates for atmospheric mineral dust and mineral dust/sulfate particles at
cirrus temperatures, Atmos. Chem. Phys., 5, 2617–2634,
https://doi.org/10.5194/acp-5-2617-2005, 2005. 2. Baumgardner, D., Jonsson, H., Dawson, W., O'Connor, D., and Newton, R.: The
cloud, aerosol and precipitation spectrometer (CAPS): a new instrument for
cloud investigations, Atmos. Res., 59–60, 251–264, 2001. 3. 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., Sherwood, S., Stevens, B., and Zhang, X.: Clouds and Aerosols, in: Climate Change 2013: The Physical
Science Basis, Contribution of Working Group I to the Fifth
Assessment Report of the Intergovernmental Panel on Climate
Change, edited by: 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., Cambridge University Press, Cambridge,
United Kingdom and New York, NY, USA, 2013. 4. Buchholz, B., Kühnreich, B., Smit, H. G. J., and Ebert, V.: Validation
of an extractive, airborne, compact TDL spectrometer for atmospheric humidity
sensing by blind intercomparison, Appl. Phys. B – Lasers O., 110, 249–262,
2013. 5. Bunz, H., Benz, S., Gensch, I., and Krämer, M.: MAID: a model to
simulate UT/LS aerosols and ice clouds, Environ. Res. Lett., 3, 035001,
https://doi.org/10.1088/1748-9326/3/3/035001,
2008.
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