Discriminating between “drizzle or rain” and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud Observatory
<p>The highly sensitive Ka-band cloud radar at the Barbados Cloud Observatory (BCO) frequently reveals radar reflectivity signals below <span class="inline-formula">−</span>50 dBZ within the convective sub-cloud layer. These so-called haze echoes are signals from hygrosco...
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Copernicus Publications
2025-01-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/18/487/2025/amt-18-487-2025.pdf |
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| author | J. Roschke J. Witthuhn J. Witthuhn M. Klingebiel M. Haarig A. Foth A. Kötsche H. Kalesse-Los |
| author_facet | J. Roschke J. Witthuhn J. Witthuhn M. Klingebiel M. Haarig A. Foth A. Kötsche H. Kalesse-Los |
| author_sort | J. Roschke |
| collection | DOAJ |
| description | <p>The highly sensitive Ka-band cloud radar at the Barbados Cloud Observatory (BCO) frequently reveals radar reflectivity signals below <span class="inline-formula">−</span>50 dBZ within the convective sub-cloud layer. These so-called haze echoes are signals from hygroscopically grown sea salt aerosols. Within the Cloudnet target classification scheme, haze echoes are generally misclassified as precipitation (target class: “drizzle or rain”). We present a technique to discriminate between “drizzle or rain” and sea salt aerosols in Cloudnet that is applicable to marine Cloudnet sites. The method is based on deriving heuristic probability functions utilizing a combination of cloud radar reflectivity factor, radar mean Doppler velocity, and the ceilometer attenuated backscatter coefficient. The method is crucial for investigating the occurrence of precipitation and significantly improves the Cloudnet target classification scheme for measurements at the BCO. The results are validated against the amount of precipitation detected by the Virga-Sniffer tool. We analyze data for measurements at BCO covering 2 years (July 2021–July 2023). A first-ever statistical analysis of the Cloudnet target classification product including the new “haze echo” target over 2 years at the BCO is presented. In the atmospheric column above the BCO, “drizzle or rain” is on average more frequent during the dry season compared to the wet season due to the higher occurrence of warm clouds contributing to the amount of precipitation. Haze echoes are identified about 4 times more often during the dry season compared to the wet season. The frequency of occurrence of “drizzle or rain” in Cloudnet caused by misclassified haze echoes is overestimated by up to 16 %. Supported by the Cloudnet statistics and the results obtained from the Virga-Sniffer tool, 48 % of detected warm clouds in the dry and wet season precipitate. The proportion of precipitation evaporating fully before reaching the ground (virga) is higher during the dry season.</p> |
| format | Article |
| id | doaj-art-5694de950a504a8fbf9a4547e847120c |
| institution | Kabale University |
| issn | 1867-1381 1867-8548 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj-art-5694de950a504a8fbf9a4547e847120c2025-01-27T11:16:31ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482025-01-011848750810.5194/amt-18-487-2025Discriminating between “drizzle or rain” and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud ObservatoryJ. Roschke0J. Witthuhn1J. Witthuhn2M. Klingebiel3M. Haarig4A. Foth5A. Kötsche6H. Kalesse-Los7Leipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, GermanyLeipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, GermanyLeipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, GermanyLeipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, Germany<p>The highly sensitive Ka-band cloud radar at the Barbados Cloud Observatory (BCO) frequently reveals radar reflectivity signals below <span class="inline-formula">−</span>50 dBZ within the convective sub-cloud layer. These so-called haze echoes are signals from hygroscopically grown sea salt aerosols. Within the Cloudnet target classification scheme, haze echoes are generally misclassified as precipitation (target class: “drizzle or rain”). We present a technique to discriminate between “drizzle or rain” and sea salt aerosols in Cloudnet that is applicable to marine Cloudnet sites. The method is based on deriving heuristic probability functions utilizing a combination of cloud radar reflectivity factor, radar mean Doppler velocity, and the ceilometer attenuated backscatter coefficient. The method is crucial for investigating the occurrence of precipitation and significantly improves the Cloudnet target classification scheme for measurements at the BCO. The results are validated against the amount of precipitation detected by the Virga-Sniffer tool. We analyze data for measurements at BCO covering 2 years (July 2021–July 2023). A first-ever statistical analysis of the Cloudnet target classification product including the new “haze echo” target over 2 years at the BCO is presented. In the atmospheric column above the BCO, “drizzle or rain” is on average more frequent during the dry season compared to the wet season due to the higher occurrence of warm clouds contributing to the amount of precipitation. Haze echoes are identified about 4 times more often during the dry season compared to the wet season. The frequency of occurrence of “drizzle or rain” in Cloudnet caused by misclassified haze echoes is overestimated by up to 16 %. Supported by the Cloudnet statistics and the results obtained from the Virga-Sniffer tool, 48 % of detected warm clouds in the dry and wet season precipitate. The proportion of precipitation evaporating fully before reaching the ground (virga) is higher during the dry season.</p>https://amt.copernicus.org/articles/18/487/2025/amt-18-487-2025.pdf |
| spellingShingle | J. Roschke J. Witthuhn J. Witthuhn M. Klingebiel M. Haarig A. Foth A. Kötsche H. Kalesse-Los Discriminating between “drizzle or rain” and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud Observatory Atmospheric Measurement Techniques |
| title | Discriminating between “drizzle or rain” and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud Observatory |
| title_full | Discriminating between “drizzle or rain” and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud Observatory |
| title_fullStr | Discriminating between “drizzle or rain” and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud Observatory |
| title_full_unstemmed | Discriminating between “drizzle or rain” and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud Observatory |
| title_short | Discriminating between “drizzle or rain” and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud Observatory |
| title_sort | discriminating between drizzle or rain and sea salt aerosols in cloudnet for measurements over the barbados cloud observatory |
| url | https://amt.copernicus.org/articles/18/487/2025/amt-18-487-2025.pdf |
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