Ice and Mixed-Phase Cloud Statistics on Antarctic Plateau
Statistics on the occurrence of clear skies, ice and mixed-phase clouds over the Concordia station, in the Antarctic Plateau, are provided for multiple time scales and analysed in relation to simultaneous meteorological parameters measured at the surface. Results are obtained by applying a machine l...
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ftcopernicus:oai:publications.copernicus.org:acpd92711 2023-05-15T13:31:40+02:00 Ice and Mixed-Phase Cloud Statistics on Antarctic Plateau Cossich, William Maestri, Tiziano Magurno, Davide Martinazzo, Michele Natale, Gianluca Palchetti, Luca Bianchini, Giovanni Guasta, Massimo 2021-03-23 application/pdf https://doi.org/10.5194/acp-2021-97 https://acp.copernicus.org/preprints/acp-2021-97/ eng eng doi:10.5194/acp-2021-97 https://acp.copernicus.org/preprints/acp-2021-97/ eISSN: 1680-7324 Text 2021 ftcopernicus https://doi.org/10.5194/acp-2021-97 2021-03-29T16:22:18Z Statistics on the occurrence of clear skies, ice and mixed-phase clouds over the Concordia station, in the Antarctic Plateau, are provided for multiple time scales and analysed in relation to simultaneous meteorological parameters measured at the surface. Results are obtained by applying a machine learning cloud identification and classification code (named CIC) to 4 years of measurements between 2012–2105 of down-welling high spectral resolution radiances, measured by the Radiation Explorer in the Far Infrared-Prototype for Applications and Development (REFIR-PAD) spectroradiometer. The CIC algorithm is optimized for Antarctic sky conditions (clear sky, ice clouds, and mixed-phase clouds) and results in a total hit rate of almost 0.98, where 1.0 is a perfect score. Scene truth is provided by LiDAR measurements that are concurrent with REFIR-PAD. The CIC approach demonstrates the key role of far infrared spectral measurements for clear/cloud discrimination and for cloud phase classification. Mean annual occurrences are 72.3 %, 24.9 % and 2.7 % for clear sky, ice and mixed-phase clouds respectively, with an inter-annual variability of a few percent. The seasonal occurrence of clear sky shows a minimum in winter (66.8 %) and maxima (75–76 %) during intermediate seasons. In winter the mean surface temperature is about 9 °C colder in clear conditions than when ice clouds are present. Mixed-phase clouds are observed only in the warm season; in summer they amount to more than one third of total observed clouds. Their occurrence is correlated with warmer surface temperatures. In the austral summer, the mean surface air temperature is about 5 °C warmer when clouds are present than in clear sky conditions. This difference is larger during the night than in daylight hours, likely due to increased solar warming. A comparison of monthly mean results with cloud occurrence/fraction derived from gridded (Level-3) satellite products, from both passive and active sensors, emphasizes the difficulty of adequately inferring cloud/clear-sky properties in the Antarctic region and highlights the ability of the CIC/REFIR-PAD synergy to identify multiple cloud conditions and study their variability at different time scales. Text Antarc* Antarctic Copernicus Publications: E-Journals Antarctic Austral Concordia Station ENVELOPE(123.333,123.333,-75.100,-75.100) The Antarctic |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
Statistics on the occurrence of clear skies, ice and mixed-phase clouds over the Concordia station, in the Antarctic Plateau, are provided for multiple time scales and analysed in relation to simultaneous meteorological parameters measured at the surface. Results are obtained by applying a machine learning cloud identification and classification code (named CIC) to 4 years of measurements between 2012–2105 of down-welling high spectral resolution radiances, measured by the Radiation Explorer in the Far Infrared-Prototype for Applications and Development (REFIR-PAD) spectroradiometer. The CIC algorithm is optimized for Antarctic sky conditions (clear sky, ice clouds, and mixed-phase clouds) and results in a total hit rate of almost 0.98, where 1.0 is a perfect score. Scene truth is provided by LiDAR measurements that are concurrent with REFIR-PAD. The CIC approach demonstrates the key role of far infrared spectral measurements for clear/cloud discrimination and for cloud phase classification. Mean annual occurrences are 72.3 %, 24.9 % and 2.7 % for clear sky, ice and mixed-phase clouds respectively, with an inter-annual variability of a few percent. The seasonal occurrence of clear sky shows a minimum in winter (66.8 %) and maxima (75–76 %) during intermediate seasons. In winter the mean surface temperature is about 9 °C colder in clear conditions than when ice clouds are present. Mixed-phase clouds are observed only in the warm season; in summer they amount to more than one third of total observed clouds. Their occurrence is correlated with warmer surface temperatures. In the austral summer, the mean surface air temperature is about 5 °C warmer when clouds are present than in clear sky conditions. This difference is larger during the night than in daylight hours, likely due to increased solar warming. A comparison of monthly mean results with cloud occurrence/fraction derived from gridded (Level-3) satellite products, from both passive and active sensors, emphasizes the difficulty of adequately inferring cloud/clear-sky properties in the Antarctic region and highlights the ability of the CIC/REFIR-PAD synergy to identify multiple cloud conditions and study their variability at different time scales. |
format |
Text |
author |
Cossich, William Maestri, Tiziano Magurno, Davide Martinazzo, Michele Natale, Gianluca Palchetti, Luca Bianchini, Giovanni Guasta, Massimo |
spellingShingle |
Cossich, William Maestri, Tiziano Magurno, Davide Martinazzo, Michele Natale, Gianluca Palchetti, Luca Bianchini, Giovanni Guasta, Massimo Ice and Mixed-Phase Cloud Statistics on Antarctic Plateau |
author_facet |
Cossich, William Maestri, Tiziano Magurno, Davide Martinazzo, Michele Natale, Gianluca Palchetti, Luca Bianchini, Giovanni Guasta, Massimo |
author_sort |
Cossich, William |
title |
Ice and Mixed-Phase Cloud Statistics on Antarctic Plateau |
title_short |
Ice and Mixed-Phase Cloud Statistics on Antarctic Plateau |
title_full |
Ice and Mixed-Phase Cloud Statistics on Antarctic Plateau |
title_fullStr |
Ice and Mixed-Phase Cloud Statistics on Antarctic Plateau |
title_full_unstemmed |
Ice and Mixed-Phase Cloud Statistics on Antarctic Plateau |
title_sort |
ice and mixed-phase cloud statistics on antarctic plateau |
publishDate |
2021 |
url |
https://doi.org/10.5194/acp-2021-97 https://acp.copernicus.org/preprints/acp-2021-97/ |
long_lat |
ENVELOPE(123.333,123.333,-75.100,-75.100) |
geographic |
Antarctic Austral Concordia Station The Antarctic |
geographic_facet |
Antarctic Austral Concordia Station The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
eISSN: 1680-7324 |
op_relation |
doi:10.5194/acp-2021-97 https://acp.copernicus.org/preprints/acp-2021-97/ |
op_doi |
https://doi.org/10.5194/acp-2021-97 |
_version_ |
1766020076750766080 |