Cloud and surface properties and the solar radiation budget derived from satellite data over the Arctic Ocean: Comparisons with surface measurements and in situ aircraft data

Dissertation (Ph.D.) University of Alaska Fairbanks, 2000 Use of satellite data to study the surface and cloud properties and the solar radiation budget (SRB) is very important for improving our understanding of cloud and sea-ice albedo feedback in the Arctic. Based on an accurate and comprehensive...

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Bibliographic Details
Main Author: Xiong, Xiaozhen
Other Authors: Stamnes, Knut
Format: Doctoral or Postdoctoral Thesis
Language:unknown
Published: 2000
Subjects:
Online Access:http://hdl.handle.net/11122/9555
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spelling ftunivalaska:oai:scholarworks.alaska.edu:11122/9555 2023-05-15T13:10:50+02:00 Cloud and surface properties and the solar radiation budget derived from satellite data over the Arctic Ocean: Comparisons with surface measurements and in situ aircraft data Xiong, Xiaozhen Stamnes, Knut 2000 http://hdl.handle.net/11122/9555 unknown http://hdl.handle.net/11122/9555 Physics Atmospheric Science Dissertation phd 2000 ftunivalaska 2023-02-23T21:37:17Z Dissertation (Ph.D.) University of Alaska Fairbanks, 2000 Use of satellite data to study the surface and cloud properties and the solar radiation budget (SRB) is very important for improving our understanding of cloud and sea-ice albedo feedback in the Arctic. Based on an accurate and comprehensive Radiative Transfer Model (RTM), algorithms were developed for using the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) data for the discrimination of cloud from snow/ice surfaces, retrieval of snow surface properties and surface albedo, and retrieval of cloud optical depth (tau) and effective droplet size ( re). Through the improved estimation of solar reflectance in AVHRR channel 3 (3.75 mum) and atmospheric anisotropic correction, a threshold function was found and used for developing an automatic cloud discrimination algorithm over snow/ice surfaces. Thin cirrus was discriminated using the brightness temperature difference between AVHRR channels 4 and 5 and brightness temperature in channel 4. Retrieval of snow grain size and mass-fraction of soot from AVHRR is difficult because of the effects of aerosol in channel 1 and the strong water vapor absorption in channel 2. Retrieval of surface albedo is more promising, but, with the melt of snow/ice, different narrow-to-broadband conversion relations should be used to derive broadband albedo. AVHRR channels 2, 3 and 4 are used to retrieve tau, r e and cloud top temperature simultaneously. Validation of these algorithms with in-situ aircraft measurements by the NCAR C-130 and the NASA ER-2 and with surface measurements obtained during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment indicates that the retrieved re is close to the "true" value of re, but the retrieved tau tends to be overestimated. Uncertainties of cloud retrievals with regard to cloud cover fraction, vertical inhomogeneity, multi-layer stratification and cloud phase were examined. Inter comparison of different satellite data ... Doctoral or Postdoctoral Thesis albedo Arctic Arctic Ocean Sea ice Surface Heat Budget of the Arctic Ocean Alaska University of Alaska: ScholarWorks@UA Arctic Arctic Ocean Fairbanks
institution Open Polar
collection University of Alaska: ScholarWorks@UA
op_collection_id ftunivalaska
language unknown
topic Physics
Atmospheric Science
spellingShingle Physics
Atmospheric Science
Xiong, Xiaozhen
Cloud and surface properties and the solar radiation budget derived from satellite data over the Arctic Ocean: Comparisons with surface measurements and in situ aircraft data
topic_facet Physics
Atmospheric Science
description Dissertation (Ph.D.) University of Alaska Fairbanks, 2000 Use of satellite data to study the surface and cloud properties and the solar radiation budget (SRB) is very important for improving our understanding of cloud and sea-ice albedo feedback in the Arctic. Based on an accurate and comprehensive Radiative Transfer Model (RTM), algorithms were developed for using the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) data for the discrimination of cloud from snow/ice surfaces, retrieval of snow surface properties and surface albedo, and retrieval of cloud optical depth (tau) and effective droplet size ( re). Through the improved estimation of solar reflectance in AVHRR channel 3 (3.75 mum) and atmospheric anisotropic correction, a threshold function was found and used for developing an automatic cloud discrimination algorithm over snow/ice surfaces. Thin cirrus was discriminated using the brightness temperature difference between AVHRR channels 4 and 5 and brightness temperature in channel 4. Retrieval of snow grain size and mass-fraction of soot from AVHRR is difficult because of the effects of aerosol in channel 1 and the strong water vapor absorption in channel 2. Retrieval of surface albedo is more promising, but, with the melt of snow/ice, different narrow-to-broadband conversion relations should be used to derive broadband albedo. AVHRR channels 2, 3 and 4 are used to retrieve tau, r e and cloud top temperature simultaneously. Validation of these algorithms with in-situ aircraft measurements by the NCAR C-130 and the NASA ER-2 and with surface measurements obtained during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment indicates that the retrieved re is close to the "true" value of re, but the retrieved tau tends to be overestimated. Uncertainties of cloud retrievals with regard to cloud cover fraction, vertical inhomogeneity, multi-layer stratification and cloud phase were examined. Inter comparison of different satellite data ...
author2 Stamnes, Knut
format Doctoral or Postdoctoral Thesis
author Xiong, Xiaozhen
author_facet Xiong, Xiaozhen
author_sort Xiong, Xiaozhen
title Cloud and surface properties and the solar radiation budget derived from satellite data over the Arctic Ocean: Comparisons with surface measurements and in situ aircraft data
title_short Cloud and surface properties and the solar radiation budget derived from satellite data over the Arctic Ocean: Comparisons with surface measurements and in situ aircraft data
title_full Cloud and surface properties and the solar radiation budget derived from satellite data over the Arctic Ocean: Comparisons with surface measurements and in situ aircraft data
title_fullStr Cloud and surface properties and the solar radiation budget derived from satellite data over the Arctic Ocean: Comparisons with surface measurements and in situ aircraft data
title_full_unstemmed Cloud and surface properties and the solar radiation budget derived from satellite data over the Arctic Ocean: Comparisons with surface measurements and in situ aircraft data
title_sort cloud and surface properties and the solar radiation budget derived from satellite data over the arctic ocean: comparisons with surface measurements and in situ aircraft data
publishDate 2000
url http://hdl.handle.net/11122/9555
geographic Arctic
Arctic Ocean
Fairbanks
geographic_facet Arctic
Arctic Ocean
Fairbanks
genre albedo
Arctic
Arctic Ocean
Sea ice
Surface Heat Budget of the Arctic Ocean
Alaska
genre_facet albedo
Arctic
Arctic Ocean
Sea ice
Surface Heat Budget of the Arctic Ocean
Alaska
op_relation http://hdl.handle.net/11122/9555
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