Arctic cloud macrophysical characteristics from CloudSat and CALIPSO

The lidar and radar profiling capabilities of the CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder (CALIPSO) satellites provide opportunities to improve the characterization of cloud properties. An Arctic cloud climatology based on their observations may be fundamentally different from earli...

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Main Authors: Liu, Yinghui, Key, Jeffrey R., Ackerman, Steven A., Mace, Gerald G., Zhang, Qiuqing
Format: Text
Language:unknown
Published: DigitalCommons@University of Nebraska - Lincoln 2012
Subjects:
Online Access:https://digitalcommons.unl.edu/usdeptcommercepub/384
https://digitalcommons.unl.edu/context/usdeptcommercepub/article/1383/viewcontent/Liu_RSE_2012_Arctic_cloud.pdf
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spelling ftunivnebraskali:oai:digitalcommons.unl.edu:usdeptcommercepub-1383 2023-11-12T04:10:53+01:00 Arctic cloud macrophysical characteristics from CloudSat and CALIPSO Liu, Yinghui Key, Jeffrey R. Ackerman, Steven A. Mace, Gerald G. Zhang, Qiuqing 2012-01-01T08:00:00Z application/pdf https://digitalcommons.unl.edu/usdeptcommercepub/384 https://digitalcommons.unl.edu/context/usdeptcommercepub/article/1383/viewcontent/Liu_RSE_2012_Arctic_cloud.pdf unknown DigitalCommons@University of Nebraska - Lincoln https://digitalcommons.unl.edu/usdeptcommercepub/384 https://digitalcommons.unl.edu/context/usdeptcommercepub/article/1383/viewcontent/Liu_RSE_2012_Arctic_cloud.pdf Publications, Agencies and Staff of the U.S. Department of Commerce Arctic Cloud Remote sensing CloudSat CALIPSO Environmental Sciences text 2012 ftunivnebraskali 2023-10-30T09:47:55Z The lidar and radar profiling capabilities of the CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder (CALIPSO) satellites provide opportunities to improve the characterization of cloud properties. An Arctic cloud climatology based on their observations may be fundamentally different from earlier Arctic cloud climatologies based on passive satellite observations, which have limited contrast between the cloud and underlying surface. Specifically, the Radar–Lidar Geometrical Profile product (RL-GEOPROF) provides cloud vertical profiles from the combination of active lidar and radar. Based on this data product for the period July 2006 to March 2011, this paper presents a new cloud macrophysical property characteristic analysis for the Arctic, including cloud occurrence fraction (COF), vertical distributions, and probability density functions (PDF) of cloud base and top heights. Seasonal mean COF shows maximum values in autumn, minimum values in winter, and moderate values in spring and summer; this seasonality ismore prominent over the Arctic Ocean on the Pacific side. The mean ratios of multi-layer cloud to total cloud over the ocean and land are between 24% and 28%. Low-level COFs are higher over ocean than over land. The ratio of low-level cloud to total cloud is also higher over ocean. Middle-level and high-level COFs are smaller over ocean than over land except in summer, and the ratios of middle-level and highlevel clouds to total cloud are also smaller over ocean. Over the central Arctic Ocean, PDFs of cloud top height and cloud bottomheight show (1) two cloud top height PDF peaks, one for cloud top heights lower than 1200 mand another between 7 and 9 km; and (2) high frequency for cloud base below 1000 m with the majority of cloud base heights lower than 2000 m. Text Arctic Arctic Ocean University of Nebraska-Lincoln: DigitalCommons@UNL Arctic Arctic Ocean Pacific
institution Open Polar
collection University of Nebraska-Lincoln: DigitalCommons@UNL
op_collection_id ftunivnebraskali
language unknown
topic Arctic
Cloud
Remote sensing
CloudSat
CALIPSO
Environmental Sciences
spellingShingle Arctic
Cloud
Remote sensing
CloudSat
CALIPSO
Environmental Sciences
Liu, Yinghui
Key, Jeffrey R.
Ackerman, Steven A.
Mace, Gerald G.
Zhang, Qiuqing
Arctic cloud macrophysical characteristics from CloudSat and CALIPSO
topic_facet Arctic
Cloud
Remote sensing
CloudSat
CALIPSO
Environmental Sciences
description The lidar and radar profiling capabilities of the CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder (CALIPSO) satellites provide opportunities to improve the characterization of cloud properties. An Arctic cloud climatology based on their observations may be fundamentally different from earlier Arctic cloud climatologies based on passive satellite observations, which have limited contrast between the cloud and underlying surface. Specifically, the Radar–Lidar Geometrical Profile product (RL-GEOPROF) provides cloud vertical profiles from the combination of active lidar and radar. Based on this data product for the period July 2006 to March 2011, this paper presents a new cloud macrophysical property characteristic analysis for the Arctic, including cloud occurrence fraction (COF), vertical distributions, and probability density functions (PDF) of cloud base and top heights. Seasonal mean COF shows maximum values in autumn, minimum values in winter, and moderate values in spring and summer; this seasonality ismore prominent over the Arctic Ocean on the Pacific side. The mean ratios of multi-layer cloud to total cloud over the ocean and land are between 24% and 28%. Low-level COFs are higher over ocean than over land. The ratio of low-level cloud to total cloud is also higher over ocean. Middle-level and high-level COFs are smaller over ocean than over land except in summer, and the ratios of middle-level and highlevel clouds to total cloud are also smaller over ocean. Over the central Arctic Ocean, PDFs of cloud top height and cloud bottomheight show (1) two cloud top height PDF peaks, one for cloud top heights lower than 1200 mand another between 7 and 9 km; and (2) high frequency for cloud base below 1000 m with the majority of cloud base heights lower than 2000 m.
format Text
author Liu, Yinghui
Key, Jeffrey R.
Ackerman, Steven A.
Mace, Gerald G.
Zhang, Qiuqing
author_facet Liu, Yinghui
Key, Jeffrey R.
Ackerman, Steven A.
Mace, Gerald G.
Zhang, Qiuqing
author_sort Liu, Yinghui
title Arctic cloud macrophysical characteristics from CloudSat and CALIPSO
title_short Arctic cloud macrophysical characteristics from CloudSat and CALIPSO
title_full Arctic cloud macrophysical characteristics from CloudSat and CALIPSO
title_fullStr Arctic cloud macrophysical characteristics from CloudSat and CALIPSO
title_full_unstemmed Arctic cloud macrophysical characteristics from CloudSat and CALIPSO
title_sort arctic cloud macrophysical characteristics from cloudsat and calipso
publisher DigitalCommons@University of Nebraska - Lincoln
publishDate 2012
url https://digitalcommons.unl.edu/usdeptcommercepub/384
https://digitalcommons.unl.edu/context/usdeptcommercepub/article/1383/viewcontent/Liu_RSE_2012_Arctic_cloud.pdf
geographic Arctic
Arctic Ocean
Pacific
geographic_facet Arctic
Arctic Ocean
Pacific
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_source Publications, Agencies and Staff of the U.S. Department of Commerce
op_relation https://digitalcommons.unl.edu/usdeptcommercepub/384
https://digitalcommons.unl.edu/context/usdeptcommercepub/article/1383/viewcontent/Liu_RSE_2012_Arctic_cloud.pdf
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