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...

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Main Authors: Spangenberg, D., Minnis, P., Shupe, M., Uttal, T., Poellot, M.
Language:unknown
Published: 2008
Subjects:
Online Access:http://www.osti.gov/servlets/purl/841577
https://www.osti.gov/biblio/841577
id ftosti:oai:osti.gov:841577
record_format openpolar
spelling ftosti:oai:osti.gov:841577 2023-07-30T03:55:42+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. 2008-02-05 application/pdf http://www.osti.gov/servlets/purl/841577 https://www.osti.gov/biblio/841577 unknown http://www.osti.gov/servlets/purl/841577 https://www.osti.gov/biblio/841577 54 ENVIRONMENTAL SCIENCES ACCURACY AIRCRAFT ALBEDO BRIGHTNESS CLIMATE MODELS CLIMATES CLOUDS FEEDBACK PARTICLE SIZE POLAR REGIONS RADIATIONS RESOLUTION SNOW TEMPERATURE INVERSIONS 2008 ftosti 2023-07-11T08:40:40Z 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. Other/Unknown Material albedo Arctic Barrow north slope Sea ice Alaska SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
ACCURACY
AIRCRAFT
ALBEDO
BRIGHTNESS
CLIMATE MODELS
CLIMATES
CLOUDS
FEEDBACK
PARTICLE SIZE
POLAR REGIONS
RADIATIONS
RESOLUTION
SNOW
TEMPERATURE INVERSIONS
spellingShingle 54 ENVIRONMENTAL SCIENCES
ACCURACY
AIRCRAFT
ALBEDO
BRIGHTNESS
CLIMATE MODELS
CLIMATES
CLOUDS
FEEDBACK
PARTICLE SIZE
POLAR REGIONS
RADIATIONS
RESOLUTION
SNOW
TEMPERATURE INVERSIONS
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 54 ENVIRONMENTAL SCIENCES
ACCURACY
AIRCRAFT
ALBEDO
BRIGHTNESS
CLIMATE MODELS
CLIMATES
CLOUDS
FEEDBACK
PARTICLE SIZE
POLAR REGIONS
RADIATIONS
RESOLUTION
SNOW
TEMPERATURE INVERSIONS
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.
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
publishDate 2008
url http://www.osti.gov/servlets/purl/841577
https://www.osti.gov/biblio/841577
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_relation http://www.osti.gov/servlets/purl/841577
https://www.osti.gov/biblio/841577
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