Verification of Cloud Analyses used to Support Overhead Imagery Collection

We verified the USAF World Wide Merged Cloud Analysis (WWMCA) against observations from the Cloudsat atmospheric sounder. We analyzed WWMCA data for 2010 for two regions that are of high interest to the national intelligence community and that differ in their meteorological characteristics. The two...

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Main Author: Cleary, Robert J
Other Authors: NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Format: Text
Language:English
Published: 2012
Subjects:
II
Online Access:http://www.dtic.mil/docs/citations/ADA561828
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA561828
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record_format openpolar
spelling ftdtic:ADA561828 2023-05-15T15:38:43+02:00 Verification of Cloud Analyses used to Support Overhead Imagery Collection Cleary, Robert J NAVAL POSTGRADUATE SCHOOL MONTEREY CA 2012-03 text/html http://www.dtic.mil/docs/citations/ADA561828 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA561828 en eng http://www.dtic.mil/docs/citations/ADA561828 Approved for public release; distribution is unlimited. DTIC Meteorology *CLOUDS *WEATHER FORECASTING BARENTS SEA SATELLITE IMAGERY SOUTHWEST ASIA THESES WWMCA(WORLD WIDE MERGED CLOUD ANALYSIS) CDFS II(CLOUD DEPICTION FORECAST SYSTEMS II) CLOUD FORECASTS II CLOUD ANALYSIS CLOUDSAT 2B-GEOPORF Text 2012 ftdtic 2016-02-24T07:56:01Z We verified the USAF World Wide Merged Cloud Analysis (WWMCA) against observations from the Cloudsat atmospheric sounder. We analyzed WWMCA data for 2010 for two regions that are of high interest to the national intelligence community and that differ in their meteorological characteristics. The two regions covered were: (a) much of southwest Asia; and (b) much of western Russia and the Barents Sea. We analyzed WWMCA performance according to four criteria: (1) type of cloud event (Definite-Cloud, Probable-Cloud, and No-Cloud); (2) geographic region; (3) time of day; and (4) time of year. We measured WWMCA performance using contingency table metrics and found marked differences in performance for the four criteria. In particular, WWMCA tended to perform better in analyzing: (a) No-Cloud and Definite-Cloud events than Probable-Cloud events; (b) the lower latitude region than the higher latitude region; and (c) persistent cloud events than variable cloud events. Our Heidke skill scores indicated that WWMCA performance was, in general, moderately better than that of a random set of analyses. Overall, WWMCA performance was problematic, given that WWMCA is a near real-time analysis product and is designed to initiate short lead time cloud forecasts used by the intelligence community. Text Barents Sea Defense Technical Information Center: DTIC Technical Reports database Barents Sea
institution Open Polar
collection Defense Technical Information Center: DTIC Technical Reports database
op_collection_id ftdtic
language English
topic Meteorology
*CLOUDS
*WEATHER FORECASTING
BARENTS SEA
SATELLITE IMAGERY
SOUTHWEST ASIA
THESES
WWMCA(WORLD WIDE MERGED CLOUD ANALYSIS)
CDFS II(CLOUD DEPICTION FORECAST SYSTEMS II)
CLOUD FORECASTS
II
CLOUD ANALYSIS
CLOUDSAT
2B-GEOPORF
spellingShingle Meteorology
*CLOUDS
*WEATHER FORECASTING
BARENTS SEA
SATELLITE IMAGERY
SOUTHWEST ASIA
THESES
WWMCA(WORLD WIDE MERGED CLOUD ANALYSIS)
CDFS II(CLOUD DEPICTION FORECAST SYSTEMS II)
CLOUD FORECASTS
II
CLOUD ANALYSIS
CLOUDSAT
2B-GEOPORF
Cleary, Robert J
Verification of Cloud Analyses used to Support Overhead Imagery Collection
topic_facet Meteorology
*CLOUDS
*WEATHER FORECASTING
BARENTS SEA
SATELLITE IMAGERY
SOUTHWEST ASIA
THESES
WWMCA(WORLD WIDE MERGED CLOUD ANALYSIS)
CDFS II(CLOUD DEPICTION FORECAST SYSTEMS II)
CLOUD FORECASTS
II
CLOUD ANALYSIS
CLOUDSAT
2B-GEOPORF
description We verified the USAF World Wide Merged Cloud Analysis (WWMCA) against observations from the Cloudsat atmospheric sounder. We analyzed WWMCA data for 2010 for two regions that are of high interest to the national intelligence community and that differ in their meteorological characteristics. The two regions covered were: (a) much of southwest Asia; and (b) much of western Russia and the Barents Sea. We analyzed WWMCA performance according to four criteria: (1) type of cloud event (Definite-Cloud, Probable-Cloud, and No-Cloud); (2) geographic region; (3) time of day; and (4) time of year. We measured WWMCA performance using contingency table metrics and found marked differences in performance for the four criteria. In particular, WWMCA tended to perform better in analyzing: (a) No-Cloud and Definite-Cloud events than Probable-Cloud events; (b) the lower latitude region than the higher latitude region; and (c) persistent cloud events than variable cloud events. Our Heidke skill scores indicated that WWMCA performance was, in general, moderately better than that of a random set of analyses. Overall, WWMCA performance was problematic, given that WWMCA is a near real-time analysis product and is designed to initiate short lead time cloud forecasts used by the intelligence community.
author2 NAVAL POSTGRADUATE SCHOOL MONTEREY CA
format Text
author Cleary, Robert J
author_facet Cleary, Robert J
author_sort Cleary, Robert J
title Verification of Cloud Analyses used to Support Overhead Imagery Collection
title_short Verification of Cloud Analyses used to Support Overhead Imagery Collection
title_full Verification of Cloud Analyses used to Support Overhead Imagery Collection
title_fullStr Verification of Cloud Analyses used to Support Overhead Imagery Collection
title_full_unstemmed Verification of Cloud Analyses used to Support Overhead Imagery Collection
title_sort verification of cloud analyses used to support overhead imagery collection
publishDate 2012
url http://www.dtic.mil/docs/citations/ADA561828
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA561828
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
genre_facet Barents Sea
op_source DTIC
op_relation http://www.dtic.mil/docs/citations/ADA561828
op_rights Approved for public release; distribution is unlimited.
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