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Evaluation of AIRS Cloud-Thermodynamic-Phase Determination withCALIPSO

Atmospheric Infrared Sounder (AIRS) infrared-based cloud-thermodynamic-phase retrievals are evaluated using theCloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations(CALIPSO) cloud thermodynamic phase. The AIRS cloud phase is derived from spectral information contained within the 8–12-μm...

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Published in:Journal of applied meteorology and climatology 2014-04, Vol.53 (4), p.1012-1027
Main Authors: Jin, Hongchun, Nasiri, Shaima L.
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Language:English
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Nasiri, Shaima L.
description Atmospheric Infrared Sounder (AIRS) infrared-based cloud-thermodynamic-phase retrievals are evaluated using theCloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations(CALIPSO) cloud thermodynamic phase. The AIRS cloud phase is derived from spectral information contained within the 8–12-μm window, andCALIPSOprovides coincident pixel-scale observations of cloud phase using the depolarization capability of the 532-nm channel. Comparisons are performed between the AIRS andCALIPSOcloud-phase observations for single-layer (48.5% of all clouds), heterogeneous-layer (45.9%), and multilayered (5.6%) clouds. The AIRS ice phase is in agreement withCALIPSOfor more than 90% of coincident observations globally, with the largest discrepancies found in high latitudes and multilayered clouds. AIRS water phase generally followsCALIPSOspatial patterns, but the frequency is lower by about a factor of 2. The ice and water phases of AIRS both show misclassifications about1%of the time when compared withCALIPSO. Not all clouds demonstrate strong phase signatures in the AIRS spectrum, which leads AIRS to classify unknown phase to around 10% ofCALIPSO’s ice clouds and 60% ofCALIPSO’s water clouds. This study shows that the algorithm is capable of detecting ice clouds within the AIRS field of view and can be used as the first step in further retrievals of ice-cloud optical thickness and effective particle size.
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The AIRS cloud phase is derived from spectral information contained within the 8–12-μm window, andCALIPSOprovides coincident pixel-scale observations of cloud phase using the depolarization capability of the 532-nm channel. Comparisons are performed between the AIRS andCALIPSOcloud-phase observations for single-layer (48.5% of all clouds), heterogeneous-layer (45.9%), and multilayered (5.6%) clouds. The AIRS ice phase is in agreement withCALIPSOfor more than 90% of coincident observations globally, with the largest discrepancies found in high latitudes and multilayered clouds. AIRS water phase generally followsCALIPSOspatial patterns, but the frequency is lower by about a factor of 2. The ice and water phases of AIRS both show misclassifications about1%of the time when compared withCALIPSO. Not all clouds demonstrate strong phase signatures in the AIRS spectrum, which leads AIRS to classify unknown phase to around 10% ofCALIPSO’s ice clouds and 60% ofCALIPSO’s water clouds. 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The AIRS cloud phase is derived from spectral information contained within the 8–12-μm window, andCALIPSOprovides coincident pixel-scale observations of cloud phase using the depolarization capability of the 532-nm channel. Comparisons are performed between the AIRS andCALIPSOcloud-phase observations for single-layer (48.5% of all clouds), heterogeneous-layer (45.9%), and multilayered (5.6%) clouds. The AIRS ice phase is in agreement withCALIPSOfor more than 90% of coincident observations globally, with the largest discrepancies found in high latitudes and multilayered clouds. AIRS water phase generally followsCALIPSOspatial patterns, but the frequency is lower by about a factor of 2. The ice and water phases of AIRS both show misclassifications about1%of the time when compared withCALIPSO. Not all clouds demonstrate strong phase signatures in the AIRS spectrum, which leads AIRS to classify unknown phase to around 10% ofCALIPSO’s ice clouds and 60% ofCALIPSO’s water clouds. This study shows that the algorithm is capable of detecting ice clouds within the AIRS field of view and can be used as the first step in further retrievals of ice-cloud optical thickness and effective particle size.</abstract><pub>American Meteorological Society</pub></addata></record>
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source JSTOR Archival Journals and Primary Sources Collection
subjects Cirrus clouds
Clouds
Crystals
Ice
Ice clouds
Infrared radiation
Liquids
Pixels
Spectral signatures
Thermodynamics
title Evaluation of AIRS Cloud-Thermodynamic-Phase Determination withCALIPSO
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