Arctic sea ice albedo - A comparison of two satellite-derived data sets

Spatial patterns of mean monthly surface albedo for May, June, and July, derived from DMSP Operational Line Scan (OLS) satellite imagery are compared with surface albedos derived from the International Satellite Cloud Climatology Program (ISCCP) monthly data set. Spatial patterns obtained by the two...

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Main Authors: Schweiger, Axel J., Serreze, Mark C., Key, Jeffrey R.
Format: Other/Unknown Material
Language:unknown
Published: 1993
Subjects:
47
Online Access:http://ntrs.nasa.gov/search.jsp?R=19930040439
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:19930040439 2023-05-15T13:10:40+02:00 Arctic sea ice albedo - A comparison of two satellite-derived data sets Schweiger, Axel J. Serreze, Mark C. Key, Jeffrey R. Unclassified, Unlimited, Publicly available Jan. 8, 1993 http://ntrs.nasa.gov/search.jsp?R=19930040439 unknown http://ntrs.nasa.gov/search.jsp?R=19930040439 Accession ID: 93A24436 Copyright Other Sources 47 Geophysical Research Letters; 20; 1; p. 41-44. 1993 ftnasantrs 2012-02-15T20:02:32Z Spatial patterns of mean monthly surface albedo for May, June, and July, derived from DMSP Operational Line Scan (OLS) satellite imagery are compared with surface albedos derived from the International Satellite Cloud Climatology Program (ISCCP) monthly data set. Spatial patterns obtained by the two techniques are in general agreement, especially for June and July. Nevertheless, systematic differences in albedo of 0.05 - 0.10 are noted which are most likely related to uncertainties in the simple parameterizations used in the DMSP analyses, problems in the ISCCP cloud-clearing algorithm and other modeling simplifications. However, with respect to the eventual goal of developing a reliable automated retrieval algorithm for compiling a long-term albedo data base, these initial comparisons are very encouraging. Other/Unknown Material albedo Arctic Sea ice NASA Technical Reports Server (NTRS) Arctic
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic 47
spellingShingle 47
Schweiger, Axel J.
Serreze, Mark C.
Key, Jeffrey R.
Arctic sea ice albedo - A comparison of two satellite-derived data sets
topic_facet 47
description Spatial patterns of mean monthly surface albedo for May, June, and July, derived from DMSP Operational Line Scan (OLS) satellite imagery are compared with surface albedos derived from the International Satellite Cloud Climatology Program (ISCCP) monthly data set. Spatial patterns obtained by the two techniques are in general agreement, especially for June and July. Nevertheless, systematic differences in albedo of 0.05 - 0.10 are noted which are most likely related to uncertainties in the simple parameterizations used in the DMSP analyses, problems in the ISCCP cloud-clearing algorithm and other modeling simplifications. However, with respect to the eventual goal of developing a reliable automated retrieval algorithm for compiling a long-term albedo data base, these initial comparisons are very encouraging.
format Other/Unknown Material
author Schweiger, Axel J.
Serreze, Mark C.
Key, Jeffrey R.
author_facet Schweiger, Axel J.
Serreze, Mark C.
Key, Jeffrey R.
author_sort Schweiger, Axel J.
title Arctic sea ice albedo - A comparison of two satellite-derived data sets
title_short Arctic sea ice albedo - A comparison of two satellite-derived data sets
title_full Arctic sea ice albedo - A comparison of two satellite-derived data sets
title_fullStr Arctic sea ice albedo - A comparison of two satellite-derived data sets
title_full_unstemmed Arctic sea ice albedo - A comparison of two satellite-derived data sets
title_sort arctic sea ice albedo - a comparison of two satellite-derived data sets
publishDate 1993
url http://ntrs.nasa.gov/search.jsp?R=19930040439
op_coverage Unclassified, Unlimited, Publicly available
geographic Arctic
geographic_facet Arctic
genre albedo
Arctic
Sea ice
genre_facet albedo
Arctic
Sea ice
op_source Other Sources
op_relation http://ntrs.nasa.gov/search.jsp?R=19930040439
Accession ID: 93A24436
op_rights Copyright
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