Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds
<p>Vertical-stare observations from a 482 MHz radar wind profiler and a 35 GHz cloud radar are combined on the level of individual Doppler spectra to measure vertical air motions in clear air, clouds and precipitation. For this purpose, a separation algorithm is proposed to remove the infl...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-10-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://www.atmos-meas-tech.net/11/5925/2018/amt-11-5925-2018.pdf |
| _version_ | 1819160829145120768 |
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| author | M. Radenz J. Bühl V. Lehmann U. Görsdorf R. Leinweber |
| author_facet | M. Radenz J. Bühl V. Lehmann U. Görsdorf R. Leinweber |
| author_sort | M. Radenz |
| collection | DOAJ |
| description | <p>Vertical-stare observations from a 482 MHz radar wind profiler and a
35 GHz cloud radar are combined on the level of individual Doppler
spectra to measure vertical air motions in clear air, clouds and
precipitation. For this purpose, a separation algorithm is proposed to remove
the influence of falling particles from the wind profiler Doppler spectra and
to calculate the terminal fall velocity of hydrometeors. The remaining error
of both vertical air motion and terminal fall velocity is estimated to be
better than 0.1 m s<sup>−1</sup> using numerical simulations. This
combination of instruments allows direct measurements of in-cloud vertical
air velocity and particle terminal fall velocity by means of ground-based
remote sensing. The possibility of providing a profile every 10 s
with a height resolution of < 100 m allows further insight into the
process scale of in-cloud dynamics. The results of the separation algorithm
are illustrated by two case studies, the first covering a deep frontal cloud
and the second featuring a shallow mixed-phase cloud.</p> |
| first_indexed | 2024-12-22T17:02:40Z |
| format | Article |
| id | doaj.art-6b70b61a98404d9d9c29f2e89c0e2272 |
| institution | Directory Open Access Journal |
| issn | 1867-1381 1867-8548 |
| language | English |
| last_indexed | 2024-12-22T17:02:40Z |
| publishDate | 2018-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj.art-6b70b61a98404d9d9c29f2e89c0e22722022-12-21T18:19:17ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482018-10-01115925594010.5194/amt-11-5925-2018Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within cloudsM. Radenz0J. Bühl1V. Lehmann2U. Görsdorf3R. Leinweber4Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyMeteorologisches Observatorium Lindenberg/Richard-Aßmann-Observatorium, Deutscher Wetterdienst, Tauche, GermanyMeteorologisches Observatorium Lindenberg/Richard-Aßmann-Observatorium, Deutscher Wetterdienst, Tauche, GermanyMeteorologisches Observatorium Lindenberg/Richard-Aßmann-Observatorium, Deutscher Wetterdienst, Tauche, Germany<p>Vertical-stare observations from a 482 MHz radar wind profiler and a 35 GHz cloud radar are combined on the level of individual Doppler spectra to measure vertical air motions in clear air, clouds and precipitation. For this purpose, a separation algorithm is proposed to remove the influence of falling particles from the wind profiler Doppler spectra and to calculate the terminal fall velocity of hydrometeors. The remaining error of both vertical air motion and terminal fall velocity is estimated to be better than 0.1 m s<sup>−1</sup> using numerical simulations. This combination of instruments allows direct measurements of in-cloud vertical air velocity and particle terminal fall velocity by means of ground-based remote sensing. The possibility of providing a profile every 10 s with a height resolution of < 100 m allows further insight into the process scale of in-cloud dynamics. The results of the separation algorithm are illustrated by two case studies, the first covering a deep frontal cloud and the second featuring a shallow mixed-phase cloud.</p>https://www.atmos-meas-tech.net/11/5925/2018/amt-11-5925-2018.pdf |
| spellingShingle | M. Radenz J. Bühl V. Lehmann U. Görsdorf R. Leinweber Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds Atmospheric Measurement Techniques |
| title | Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds |
| title_full | Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds |
| title_fullStr | Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds |
| title_full_unstemmed | Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds |
| title_short | Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds |
| title_sort | combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds |
| url | https://www.atmos-meas-tech.net/11/5925/2018/amt-11-5925-2018.pdf |
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