Multi-sensor measurements of mixed-phase clouds above Greenland

Liquid-only and mixed-phase clouds in the Arctic strongly affect the regional surface energy and ice mass budgets, yet much remains unknown about the nature of these clouds due to the lack of intensive measurements. Lidar measurements of these clouds are challenged by very large signal dynamic range...

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Main Authors: Stillwell Robert A., Shupe Matthew D., Thayer Jeffrey P., Neely Ryan R., Turner David D.
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201817608006
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author Stillwell Robert A.
Shupe Matthew D.
Thayer Jeffrey P.
Neely Ryan R.
Turner David D.
author_facet Stillwell Robert A.
Shupe Matthew D.
Thayer Jeffrey P.
Neely Ryan R.
Turner David D.
author_sort Stillwell Robert A.
collection DOAJ
description Liquid-only and mixed-phase clouds in the Arctic strongly affect the regional surface energy and ice mass budgets, yet much remains unknown about the nature of these clouds due to the lack of intensive measurements. Lidar measurements of these clouds are challenged by very large signal dynamic range, which makes even seemingly simple tasks, such as thermodynamic phase classification, difficult. This work focuses on a set of measurements made by the Clouds Aerosol Polarization and Backscatter Lidar at Summit, Greenland and its retrieval algorithms, which use both analog and photon counting as well as orthogonal and non-orthogonal polarization retrievals to extend dynamic range and improve overall measurement quality and quantity. Presented here is an algorithm for cloud parameter retrievals that leverages enhanced dynamic range retrievals to classify mixed-phase clouds. This best guess retrieval is compared to co-located instruments for validation.
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spelling doaj.art-9f8c28ddef9d4a70a0cf64e802b252262022-12-21T18:34:05ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011760800610.1051/epjconf/201817608006epjconf_ilrc28_08006Multi-sensor measurements of mixed-phase clouds above GreenlandStillwell Robert A.Shupe Matthew D.Thayer Jeffrey P.Neely Ryan R.Turner David D.Liquid-only and mixed-phase clouds in the Arctic strongly affect the regional surface energy and ice mass budgets, yet much remains unknown about the nature of these clouds due to the lack of intensive measurements. Lidar measurements of these clouds are challenged by very large signal dynamic range, which makes even seemingly simple tasks, such as thermodynamic phase classification, difficult. This work focuses on a set of measurements made by the Clouds Aerosol Polarization and Backscatter Lidar at Summit, Greenland and its retrieval algorithms, which use both analog and photon counting as well as orthogonal and non-orthogonal polarization retrievals to extend dynamic range and improve overall measurement quality and quantity. Presented here is an algorithm for cloud parameter retrievals that leverages enhanced dynamic range retrievals to classify mixed-phase clouds. This best guess retrieval is compared to co-located instruments for validation.https://doi.org/10.1051/epjconf/201817608006
spellingShingle Stillwell Robert A.
Shupe Matthew D.
Thayer Jeffrey P.
Neely Ryan R.
Turner David D.
Multi-sensor measurements of mixed-phase clouds above Greenland
EPJ Web of Conferences
title Multi-sensor measurements of mixed-phase clouds above Greenland
title_full Multi-sensor measurements of mixed-phase clouds above Greenland
title_fullStr Multi-sensor measurements of mixed-phase clouds above Greenland
title_full_unstemmed Multi-sensor measurements of mixed-phase clouds above Greenland
title_short Multi-sensor measurements of mixed-phase clouds above Greenland
title_sort multi sensor measurements of mixed phase clouds above greenland
url https://doi.org/10.1051/epjconf/201817608006
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