Ice phase in altocumulus clouds over Leipzig: remote sensing observations and detailed modeling
The present work combines remote sensing observations and detailed cloud modeling to investigate two altocumulus cloud cases observed over Leipzig, Germany. A suite of remote sensing instruments was able to detect primary ice at rather high temperatures of −6 °C. For comparison, a second mixed phase...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2015-09-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | http://www.atmos-chem-phys.net/15/10453/2015/acp-15-10453-2015.pdf |
| _version_ | 1819174299794145280 |
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| author | M. Simmel J. Bühl A. Ansmann I. Tegen |
| author_facet | M. Simmel J. Bühl A. Ansmann I. Tegen |
| author_sort | M. Simmel |
| collection | DOAJ |
| description | The present work combines remote sensing observations and detailed cloud
modeling to investigate two altocumulus cloud cases observed over Leipzig,
Germany. A suite of remote sensing instruments was able to detect primary ice
at rather high temperatures of −6 °C. For comparison, a second
mixed phase case at about −25 °C is introduced. To further look
into the details of cloud microphysical processes, a simple dynamics model of
the Asai-Kasahara (AK) type is combined with detailed spectral microphysics
(SPECS) forming the model system AK-SPECS. Vertical velocities are prescribed
to force the dynamics, as well as main cloud features, to be close to the
observations. Subsequently, sensitivity studies with respect to ice
microphysical parameters are carried out with the aim to quantify the most
important sensitivities for the cases investigated.
<br><br>
For the cases selected, the liquid phase is mainly determined by the model
dynamics (location and strength of vertical velocity), whereas the ice phase
is much more sensitive to the microphysical parameters (ice nucleating
particle (INP) number, ice particle shape). The choice of ice particle shape
may induce large uncertainties that are on the same order as those for the
temperature-dependent INP number distribution. |
| first_indexed | 2024-12-22T20:36:46Z |
| format | Article |
| id | doaj.art-073cb2a0a9a04b50bae72da76f187e1a |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-22T20:36:46Z |
| publishDate | 2015-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-073cb2a0a9a04b50bae72da76f187e1a2022-12-21T18:13:26ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242015-09-011518104531047010.5194/acp-15-10453-2015Ice phase in altocumulus clouds over Leipzig: remote sensing observations and detailed modelingM. Simmel0J. Bühl1A. Ansmann2I. Tegen3TROPOS, Leibniz Institute for Tropospheric Research, Permoser Str. 15, 04318 Leipzig, GermanyTROPOS, Leibniz Institute for Tropospheric Research, Permoser Str. 15, 04318 Leipzig, GermanyTROPOS, Leibniz Institute for Tropospheric Research, Permoser Str. 15, 04318 Leipzig, GermanyTROPOS, Leibniz Institute for Tropospheric Research, Permoser Str. 15, 04318 Leipzig, GermanyThe present work combines remote sensing observations and detailed cloud modeling to investigate two altocumulus cloud cases observed over Leipzig, Germany. A suite of remote sensing instruments was able to detect primary ice at rather high temperatures of −6 °C. For comparison, a second mixed phase case at about −25 °C is introduced. To further look into the details of cloud microphysical processes, a simple dynamics model of the Asai-Kasahara (AK) type is combined with detailed spectral microphysics (SPECS) forming the model system AK-SPECS. Vertical velocities are prescribed to force the dynamics, as well as main cloud features, to be close to the observations. Subsequently, sensitivity studies with respect to ice microphysical parameters are carried out with the aim to quantify the most important sensitivities for the cases investigated. <br><br> For the cases selected, the liquid phase is mainly determined by the model dynamics (location and strength of vertical velocity), whereas the ice phase is much more sensitive to the microphysical parameters (ice nucleating particle (INP) number, ice particle shape). The choice of ice particle shape may induce large uncertainties that are on the same order as those for the temperature-dependent INP number distribution.http://www.atmos-chem-phys.net/15/10453/2015/acp-15-10453-2015.pdf |
| spellingShingle | M. Simmel J. Bühl A. Ansmann I. Tegen Ice phase in altocumulus clouds over Leipzig: remote sensing observations and detailed modeling Atmospheric Chemistry and Physics |
| title | Ice phase in altocumulus clouds over Leipzig: remote sensing observations and detailed modeling |
| title_full | Ice phase in altocumulus clouds over Leipzig: remote sensing observations and detailed modeling |
| title_fullStr | Ice phase in altocumulus clouds over Leipzig: remote sensing observations and detailed modeling |
| title_full_unstemmed | Ice phase in altocumulus clouds over Leipzig: remote sensing observations and detailed modeling |
| title_short | Ice phase in altocumulus clouds over Leipzig: remote sensing observations and detailed modeling |
| title_sort | ice phase in altocumulus clouds over leipzig remote sensing observations and detailed modeling |
| url | http://www.atmos-chem-phys.net/15/10453/2015/acp-15-10453-2015.pdf |
| work_keys_str_mv | AT msimmel icephaseinaltocumuluscloudsoverleipzigremotesensingobservationsanddetailedmodeling AT jbuhl icephaseinaltocumuluscloudsoverleipzigremotesensingobservationsanddetailedmodeling AT aansmann icephaseinaltocumuluscloudsoverleipzigremotesensingobservationsanddetailedmodeling AT itegen icephaseinaltocumuluscloudsoverleipzigremotesensingobservationsanddetailedmodeling |