Synergies and complementarities of CloudSat-CALIPSO snow observations

[1] Four years (2007–2010) of colocated 94 GHz CloudSat radar reflectivities and 532 nm CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) backscattering coefficients are used to globally characterize snow-precipitating clouds. CALIOP is particularly useful for the detection of mixed...

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Main Authors: Alessandro Battaglia, J. Delanoe
Format: Other Non-Article Part of Journal/Newspaper
Language:unknown
Published: 2013
Subjects:
Online Access:https://figshare.com/articles/journal_contribution/Synergies_and_complementarities_of_CloudSat-CALIPSO_snow_observations/10177688
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spelling ftleicesterunfig:oai:figshare.com:article/10177688 2023-05-15T15:11:28+02:00 Synergies and complementarities of CloudSat-CALIPSO snow observations Alessandro Battaglia J. Delanoe 2013-01-16T00:00:00Z https://figshare.com/articles/journal_contribution/Synergies_and_complementarities_of_CloudSat-CALIPSO_snow_observations/10177688 unknown 2381/37634 https://figshare.com/articles/journal_contribution/Synergies_and_complementarities_of_CloudSat-CALIPSO_snow_observations/10177688 All Rights Reserved Uncategorized Science & Technology Physical Sciences Meteorology & Atmospheric Sciences GEOSCIENCES MULTIDISCIPLINARY MIXED-PHASE CLOUDS REMOTE SENSORS ARCTIC-OCEAN LIDAR RADAR SCATTERING WATER APPROXIMATION RETRIEVAL ALGORITHM Text Journal contribution 2013 ftleicesterunfig 2021-11-11T19:40:37Z [1] Four years (2007–2010) of colocated 94 GHz CloudSat radar reflectivities and 532 nm CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) backscattering coefficients are used to globally characterize snow-precipitating clouds. CALIOP is particularly useful for the detection of mixed and supercooled liquid water (SLW) layers. Liquid layers are common in snow precipitating clouds: overall/over sea/over land 49%/57%/33% of the snowy profiles present SLW or mixed-phase layers. The spatial and seasonal dependencies of our results—with snowing clouds more likely to be associated with mixed phase during summer periods—are related to snow layer top temperatures. SLW occurs within the majority (>80%) of snow-precipitating clouds with cloud tops warmer than 250 K, and is present 50% of the time when the snow-layer top temperature is about 240 K. There is a marked tendency for such layers to occur close to the top of the snow-precipitating layer (75% of the times within 500 m). Both instruments can be synergetically used for profiling ice-phase-only snow, especially for light snow (Z<0 dBZ, S<0.16 mm/h) when CALIOP is capable of penetrating, on average, more than half of the snow layer depth. These results have profound impact for deepening our understanding of ice nucleation and snow growth processes, for improving active and passive snow remote sensing techniques, and for planning snow-precipitation missions. Other Non-Article Part of Journal/Newspaper Arctic Arctic Ocean University of Leicester: Figshare Arctic Arctic Ocean
institution Open Polar
collection University of Leicester: Figshare
op_collection_id ftleicesterunfig
language unknown
topic Uncategorized
Science & Technology
Physical Sciences
Meteorology & Atmospheric Sciences
GEOSCIENCES
MULTIDISCIPLINARY
MIXED-PHASE CLOUDS
REMOTE SENSORS
ARCTIC-OCEAN
LIDAR
RADAR
SCATTERING
WATER
APPROXIMATION
RETRIEVAL
ALGORITHM
spellingShingle Uncategorized
Science & Technology
Physical Sciences
Meteorology & Atmospheric Sciences
GEOSCIENCES
MULTIDISCIPLINARY
MIXED-PHASE CLOUDS
REMOTE SENSORS
ARCTIC-OCEAN
LIDAR
RADAR
SCATTERING
WATER
APPROXIMATION
RETRIEVAL
ALGORITHM
Alessandro Battaglia
J. Delanoe
Synergies and complementarities of CloudSat-CALIPSO snow observations
topic_facet Uncategorized
Science & Technology
Physical Sciences
Meteorology & Atmospheric Sciences
GEOSCIENCES
MULTIDISCIPLINARY
MIXED-PHASE CLOUDS
REMOTE SENSORS
ARCTIC-OCEAN
LIDAR
RADAR
SCATTERING
WATER
APPROXIMATION
RETRIEVAL
ALGORITHM
description [1] Four years (2007–2010) of colocated 94 GHz CloudSat radar reflectivities and 532 nm CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) backscattering coefficients are used to globally characterize snow-precipitating clouds. CALIOP is particularly useful for the detection of mixed and supercooled liquid water (SLW) layers. Liquid layers are common in snow precipitating clouds: overall/over sea/over land 49%/57%/33% of the snowy profiles present SLW or mixed-phase layers. The spatial and seasonal dependencies of our results—with snowing clouds more likely to be associated with mixed phase during summer periods—are related to snow layer top temperatures. SLW occurs within the majority (>80%) of snow-precipitating clouds with cloud tops warmer than 250 K, and is present 50% of the time when the snow-layer top temperature is about 240 K. There is a marked tendency for such layers to occur close to the top of the snow-precipitating layer (75% of the times within 500 m). Both instruments can be synergetically used for profiling ice-phase-only snow, especially for light snow (Z<0 dBZ, S<0.16 mm/h) when CALIOP is capable of penetrating, on average, more than half of the snow layer depth. These results have profound impact for deepening our understanding of ice nucleation and snow growth processes, for improving active and passive snow remote sensing techniques, and for planning snow-precipitation missions.
format Other Non-Article Part of Journal/Newspaper
author Alessandro Battaglia
J. Delanoe
author_facet Alessandro Battaglia
J. Delanoe
author_sort Alessandro Battaglia
title Synergies and complementarities of CloudSat-CALIPSO snow observations
title_short Synergies and complementarities of CloudSat-CALIPSO snow observations
title_full Synergies and complementarities of CloudSat-CALIPSO snow observations
title_fullStr Synergies and complementarities of CloudSat-CALIPSO snow observations
title_full_unstemmed Synergies and complementarities of CloudSat-CALIPSO snow observations
title_sort synergies and complementarities of cloudsat-calipso snow observations
publishDate 2013
url https://figshare.com/articles/journal_contribution/Synergies_and_complementarities_of_CloudSat-CALIPSO_snow_observations/10177688
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_relation 2381/37634
https://figshare.com/articles/journal_contribution/Synergies_and_complementarities_of_CloudSat-CALIPSO_snow_observations/10177688
op_rights All Rights Reserved
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