2002: Profiling cloud ice mass and particle characteristic size from Doppler radar measurements
A remote sensing method is proposed for the retrievals of vertical profiles of ice cloud microphysical parameters from ground-based measurements of radar reflectivity and Doppler velocity with a vertically pointed cloud radar. This method relates time-averaged Doppler velocities (which are used as a...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.570.2994 2023-05-15T15:09:32+02:00 2002: Profiling cloud ice mass and particle characteristic size from Doppler radar measurements Sergey Y. Matrosov Alexei V. Korolev Andrew J. Heymsfield The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.570.2994 http://www.esrl.noaa.gov/psd/people/sergey.matrosov/2002 - jtech.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.570.2994 http://www.esrl.noaa.gov/psd/people/sergey.matrosov/2002 - jtech.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.esrl.noaa.gov/psd/people/sergey.matrosov/2002 - jtech.pdf text ftciteseerx 2016-01-08T12:29:38Z A remote sensing method is proposed for the retrievals of vertical profiles of ice cloud microphysical parameters from ground-based measurements of radar reflectivity and Doppler velocity with a vertically pointed cloud radar. This method relates time-averaged Doppler velocities (which are used as a proxy for the reflectivity-weighted particle fall velocities) to particle characteristic sizes such as median or mean. With estimated profiles of particle characteristic size, profiles of cloud ice water content (IWC) are then calculated using reflectivity measurements. The method accounts for the intrinsic correlation between particle sizes and parameters of the fall velocity–size relations. It also accounts for changes of particle bulk density with size. The range of applicability of this method encompasses ice-phase clouds and also mixed-phase clouds that contain liquid drops, which are small compared to ice particles, so the radar signals are dominated by these larger particles. It is, however, limited to the observational situations without strong up- and downdrafts, so the residual of mean vertical air motions is small enough compared to the reflectivity-weighted cloud particle fall velocities. The Doppler-velocity reflectivity method was applied to the data obtained with an 8.6-mm wavelength radar when observing Arctic clouds. Typical retrieval uncertainties are about 35%–40 % for particle characteristic size and 60%–70 % for IWC, though in some cases IWC uncertainties can be as high as factor of 2 (i.e., 250%, 1100%). Comparisons with in situ Text Arctic Unknown Arctic |
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A remote sensing method is proposed for the retrievals of vertical profiles of ice cloud microphysical parameters from ground-based measurements of radar reflectivity and Doppler velocity with a vertically pointed cloud radar. This method relates time-averaged Doppler velocities (which are used as a proxy for the reflectivity-weighted particle fall velocities) to particle characteristic sizes such as median or mean. With estimated profiles of particle characteristic size, profiles of cloud ice water content (IWC) are then calculated using reflectivity measurements. The method accounts for the intrinsic correlation between particle sizes and parameters of the fall velocity–size relations. It also accounts for changes of particle bulk density with size. The range of applicability of this method encompasses ice-phase clouds and also mixed-phase clouds that contain liquid drops, which are small compared to ice particles, so the radar signals are dominated by these larger particles. It is, however, limited to the observational situations without strong up- and downdrafts, so the residual of mean vertical air motions is small enough compared to the reflectivity-weighted cloud particle fall velocities. The Doppler-velocity reflectivity method was applied to the data obtained with an 8.6-mm wavelength radar when observing Arctic clouds. Typical retrieval uncertainties are about 35%–40 % for particle characteristic size and 60%–70 % for IWC, though in some cases IWC uncertainties can be as high as factor of 2 (i.e., 250%, 1100%). Comparisons with in situ |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Sergey Y. Matrosov Alexei V. Korolev Andrew J. Heymsfield |
spellingShingle |
Sergey Y. Matrosov Alexei V. Korolev Andrew J. Heymsfield 2002: Profiling cloud ice mass and particle characteristic size from Doppler radar measurements |
author_facet |
Sergey Y. Matrosov Alexei V. Korolev Andrew J. Heymsfield |
author_sort |
Sergey Y. Matrosov |
title |
2002: Profiling cloud ice mass and particle characteristic size from Doppler radar measurements |
title_short |
2002: Profiling cloud ice mass and particle characteristic size from Doppler radar measurements |
title_full |
2002: Profiling cloud ice mass and particle characteristic size from Doppler radar measurements |
title_fullStr |
2002: Profiling cloud ice mass and particle characteristic size from Doppler radar measurements |
title_full_unstemmed |
2002: Profiling cloud ice mass and particle characteristic size from Doppler radar measurements |
title_sort |
2002: profiling cloud ice mass and particle characteristic size from doppler radar measurements |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.570.2994 http://www.esrl.noaa.gov/psd/people/sergey.matrosov/2002 - jtech.pdf |
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Arctic |
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Arctic |
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Arctic |
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Arctic |
op_source |
http://www.esrl.noaa.gov/psd/people/sergey.matrosov/2002 - jtech.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.570.2994 http://www.esrl.noaa.gov/psd/people/sergey.matrosov/2002 - jtech.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766340703848235008 |