Retrieval of Cloud Phase Using the Moderate Resolution Imaging Spectroradiometer Data during the Mixed-Phase Arctic Cloud Experiment

Improving climate model predictions over Earth's polar regions requires a comprehensive knowledge of polar cloud microphysics. Over the Arctic, there is minimal contrast between the clouds and background snow surface, making it difficult to detect clouds and retrieve their phase from space. Sno...

Full description

Bibliographic Details
Main Authors: Spangenberg, D., Minnis, P., Shupe, M., Uttal, T., Poellot, M.
Other Authors: United States. Department of Energy. Office of Science.
Format: Article in Journal/Newspaper
Language:English
Published: Analytical Services and Materials, Inc. 2005
Subjects:
Online Access:https://digital.library.unt.edu/ark:/67531/metadc787955/
id ftunivnotexas:info:ark/67531/metadc787955
record_format openpolar
spelling ftunivnotexas:info:ark/67531/metadc787955 2023-05-15T13:11:12+02:00 Retrieval of Cloud Phase Using the Moderate Resolution Imaging Spectroradiometer Data during the Mixed-Phase Arctic Cloud Experiment Spangenberg, D. Minnis, P. Shupe, M. Uttal, T. Poellot, M. United States. Department of Energy. Office of Science. 2005-03-18 vp. Text https://digital.library.unt.edu/ark:/67531/metadc787955/ English eng Analytical Services and Materials, Inc. Langley Research Center NOAA Environmental Technology Laboratory, Boulder, Colorado University of North Dakota grantno: AI02-97ER62341 osti: 841577 https://digital.library.unt.edu/ark:/67531/metadc787955/ ark: ark:/67531/metadc787955 Fifteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting, Daytona Beach, FL (US), 03/14/2005--03/18/2005 Cloud Properties Feedback Clouds Brightness Accuracy Snow Artcic Clouds Aircraft Polar Regions 54 Environmental Sciences Radiations Temperature Inversions Artcic Clouds Particle Size Albedo Resolution Climate Models Climates Article 2005 ftunivnotexas 2019-06-29T22:08:22Z Improving climate model predictions over Earth's polar regions requires a comprehensive knowledge of polar cloud microphysics. Over the Arctic, there is minimal contrast between the clouds and background snow surface, making it difficult to detect clouds and retrieve their phase from space. Snow and ice cover, temperature inversions, and the predominance of mixed-phase clouds make it even more difficult to determine cloud phase. Also, since determining cloud phase is the first step toward analyzing cloud optical depth, particle size, and water content, it is vital that the phase be correct in order to obtain accurate microphysical and bulk properties. Changes in these cloud properties will, in turn, affect the Arctic climate since clouds are expected to play a critical role in the sea ice albedo feedback. In this paper, the IR trispectral technique (IRTST) is used as a starting point for a WV and 11-{micro}m brightness temperature (T11) parameterization (WVT11P) of cloud phase using MODIS data. In addition to its ability to detect mixed-phase clouds, the WVT11P also has the capability to identify thin cirrus clouds overlying mixed or liquid phase clouds (multiphase ice). Results from the Atmospheric Radiation Measurement (ARM) MODIS phase model (AMPHM) are compared to the surface-based cloud phase retrievals over the ARM North Slope of Alaska (NSA) Barrow site and to in-situ data taken from University of North Dakota Citation (CIT) aircraft which flew during the Mixed-Phase Arctic Cloud Experiment (MPACE). It will be shown that the IRTST and WVT11P combined to form the AMPHM can achieve a relative high accuracy of phase discrimination compared to the surface-based retrievals. Since it only uses MODIS WV and IR channels, the AMPHM is robust in the sense that it can be applied to daytime, twilight, and nighttime scenes with no discontinuities in the output phase. Article in Journal/Newspaper albedo Arctic Barrow north slope Sea ice Alaska University of North Texas: UNT Digital Library Arctic
institution Open Polar
collection University of North Texas: UNT Digital Library
op_collection_id ftunivnotexas
language English
topic Cloud Properties
Feedback
Clouds
Brightness
Accuracy
Snow
Artcic Clouds
Aircraft
Polar Regions
54 Environmental Sciences
Radiations
Temperature Inversions Artcic Clouds
Particle Size
Albedo
Resolution
Climate Models
Climates
spellingShingle Cloud Properties
Feedback
Clouds
Brightness
Accuracy
Snow
Artcic Clouds
Aircraft
Polar Regions
54 Environmental Sciences
Radiations
Temperature Inversions Artcic Clouds
Particle Size
Albedo
Resolution
Climate Models
Climates
Spangenberg, D.
Minnis, P.
Shupe, M.
Uttal, T.
Poellot, M.
Retrieval of Cloud Phase Using the Moderate Resolution Imaging Spectroradiometer Data during the Mixed-Phase Arctic Cloud Experiment
topic_facet Cloud Properties
Feedback
Clouds
Brightness
Accuracy
Snow
Artcic Clouds
Aircraft
Polar Regions
54 Environmental Sciences
Radiations
Temperature Inversions Artcic Clouds
Particle Size
Albedo
Resolution
Climate Models
Climates
description Improving climate model predictions over Earth's polar regions requires a comprehensive knowledge of polar cloud microphysics. Over the Arctic, there is minimal contrast between the clouds and background snow surface, making it difficult to detect clouds and retrieve their phase from space. Snow and ice cover, temperature inversions, and the predominance of mixed-phase clouds make it even more difficult to determine cloud phase. Also, since determining cloud phase is the first step toward analyzing cloud optical depth, particle size, and water content, it is vital that the phase be correct in order to obtain accurate microphysical and bulk properties. Changes in these cloud properties will, in turn, affect the Arctic climate since clouds are expected to play a critical role in the sea ice albedo feedback. In this paper, the IR trispectral technique (IRTST) is used as a starting point for a WV and 11-{micro}m brightness temperature (T11) parameterization (WVT11P) of cloud phase using MODIS data. In addition to its ability to detect mixed-phase clouds, the WVT11P also has the capability to identify thin cirrus clouds overlying mixed or liquid phase clouds (multiphase ice). Results from the Atmospheric Radiation Measurement (ARM) MODIS phase model (AMPHM) are compared to the surface-based cloud phase retrievals over the ARM North Slope of Alaska (NSA) Barrow site and to in-situ data taken from University of North Dakota Citation (CIT) aircraft which flew during the Mixed-Phase Arctic Cloud Experiment (MPACE). It will be shown that the IRTST and WVT11P combined to form the AMPHM can achieve a relative high accuracy of phase discrimination compared to the surface-based retrievals. Since it only uses MODIS WV and IR channels, the AMPHM is robust in the sense that it can be applied to daytime, twilight, and nighttime scenes with no discontinuities in the output phase.
author2 United States. Department of Energy. Office of Science.
format Article in Journal/Newspaper
author Spangenberg, D.
Minnis, P.
Shupe, M.
Uttal, T.
Poellot, M.
author_facet Spangenberg, D.
Minnis, P.
Shupe, M.
Uttal, T.
Poellot, M.
author_sort Spangenberg, D.
title Retrieval of Cloud Phase Using the Moderate Resolution Imaging Spectroradiometer Data during the Mixed-Phase Arctic Cloud Experiment
title_short Retrieval of Cloud Phase Using the Moderate Resolution Imaging Spectroradiometer Data during the Mixed-Phase Arctic Cloud Experiment
title_full Retrieval of Cloud Phase Using the Moderate Resolution Imaging Spectroradiometer Data during the Mixed-Phase Arctic Cloud Experiment
title_fullStr Retrieval of Cloud Phase Using the Moderate Resolution Imaging Spectroradiometer Data during the Mixed-Phase Arctic Cloud Experiment
title_full_unstemmed Retrieval of Cloud Phase Using the Moderate Resolution Imaging Spectroradiometer Data during the Mixed-Phase Arctic Cloud Experiment
title_sort retrieval of cloud phase using the moderate resolution imaging spectroradiometer data during the mixed-phase arctic cloud experiment
publisher Analytical Services and Materials, Inc.
publishDate 2005
url https://digital.library.unt.edu/ark:/67531/metadc787955/
geographic Arctic
geographic_facet Arctic
genre albedo
Arctic
Barrow
north slope
Sea ice
Alaska
genre_facet albedo
Arctic
Barrow
north slope
Sea ice
Alaska
op_source Fifteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting, Daytona Beach, FL (US), 03/14/2005--03/18/2005
op_relation grantno: AI02-97ER62341
osti: 841577
https://digital.library.unt.edu/ark:/67531/metadc787955/
ark: ark:/67531/metadc787955
_version_ 1766246371824762880