Objective Analysis of Oceanic Data for Coast Guard Trajectory Models.
The Coast Guard uses ocean surface velocity fields as input to trajectory models in search planning to determine search area movement. Statistical techniques, called objective analysis, are used by meteorologists and oceanographers to combine observed data, which are irregularly distributed in space...
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1995
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ftdtic:ADA292884 2023-05-15T18:18:40+02:00 Objective Analysis of Oceanic Data for Coast Guard Trajectory Models. APPLIED MATHEMATICS INC GALES FERRY CT 1995-03 text/html http://www.dtic.mil/docs/citations/ADA292884 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA292884 en eng http://www.dtic.mil/docs/citations/ADA292884 APPROVED FOR PUBLIC RELEASE DTIC AND NTIS Physical and Dynamic Oceanography Operations Research *VELOCITY *OCEANOGRAPHIC DATA *OCEAN MODELS *SEARCH AND RESCUE DATA BASES MATHEMATICAL MODELS ALGORITHMS OPTIMIZATION OCEAN CURRENTS OCEAN SURFACE REAL TIME NUMERICAL ANALYSIS ACCURACY INPUT OUTPUT PROCESSING MONTE CARLO METHOD ESTIMATES DRIFT FEASIBILITY STUDIES ERRORS STATISTICAL PROCESSES COAST GUARD RESEARCH SEA ICE BUOYS OBJECTIVE ANALYSIS Text 1995 ftdtic 2016-02-19T12:16:50Z The Coast Guard uses ocean surface velocity fields as input to trajectory models in search planning to determine search area movement. Statistical techniques, called objective analysis, are used by meteorologists and oceanographers to combine observed data, which are irregularly distributed in space and time, to make conclusions about the total variation of the variables within a region of interest. The purpose of the Phase 1 research was to study the feasibility of adapting objective analysis techniques for use with Coast Guard data. The following research was completed. Objective analysis techniques were used to combine irregularly spaced and temporally observed ocean current velocity data in order to determine an optimally estimated velocity field and associated error field. The technique was applied to a drifting buoy data set collected by the Coast Guard. A numerical experiment was also conducted to examine the number of buoys required to determine the velocity field in a typical Search and Rescue domain. Techniques for combining two velocity fields were also investigated. The research findings were that objective analysis techniques can be used to provide the Coast Guard with accurate estimates, in real time, of ocean surface velocity and associated error. Potential applications of this research are in support of Coast Guard Search and Rescue, Ice Patrol and Environmental Protection missions. (AN) Text Sea ice Defense Technical Information Center: DTIC Technical Reports database |
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Open Polar |
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Defense Technical Information Center: DTIC Technical Reports database |
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ftdtic |
language |
English |
topic |
Physical and Dynamic Oceanography Operations Research *VELOCITY *OCEANOGRAPHIC DATA *OCEAN MODELS *SEARCH AND RESCUE DATA BASES MATHEMATICAL MODELS ALGORITHMS OPTIMIZATION OCEAN CURRENTS OCEAN SURFACE REAL TIME NUMERICAL ANALYSIS ACCURACY INPUT OUTPUT PROCESSING MONTE CARLO METHOD ESTIMATES DRIFT FEASIBILITY STUDIES ERRORS STATISTICAL PROCESSES COAST GUARD RESEARCH SEA ICE BUOYS OBJECTIVE ANALYSIS |
spellingShingle |
Physical and Dynamic Oceanography Operations Research *VELOCITY *OCEANOGRAPHIC DATA *OCEAN MODELS *SEARCH AND RESCUE DATA BASES MATHEMATICAL MODELS ALGORITHMS OPTIMIZATION OCEAN CURRENTS OCEAN SURFACE REAL TIME NUMERICAL ANALYSIS ACCURACY INPUT OUTPUT PROCESSING MONTE CARLO METHOD ESTIMATES DRIFT FEASIBILITY STUDIES ERRORS STATISTICAL PROCESSES COAST GUARD RESEARCH SEA ICE BUOYS OBJECTIVE ANALYSIS Objective Analysis of Oceanic Data for Coast Guard Trajectory Models. |
topic_facet |
Physical and Dynamic Oceanography Operations Research *VELOCITY *OCEANOGRAPHIC DATA *OCEAN MODELS *SEARCH AND RESCUE DATA BASES MATHEMATICAL MODELS ALGORITHMS OPTIMIZATION OCEAN CURRENTS OCEAN SURFACE REAL TIME NUMERICAL ANALYSIS ACCURACY INPUT OUTPUT PROCESSING MONTE CARLO METHOD ESTIMATES DRIFT FEASIBILITY STUDIES ERRORS STATISTICAL PROCESSES COAST GUARD RESEARCH SEA ICE BUOYS OBJECTIVE ANALYSIS |
description |
The Coast Guard uses ocean surface velocity fields as input to trajectory models in search planning to determine search area movement. Statistical techniques, called objective analysis, are used by meteorologists and oceanographers to combine observed data, which are irregularly distributed in space and time, to make conclusions about the total variation of the variables within a region of interest. The purpose of the Phase 1 research was to study the feasibility of adapting objective analysis techniques for use with Coast Guard data. The following research was completed. Objective analysis techniques were used to combine irregularly spaced and temporally observed ocean current velocity data in order to determine an optimally estimated velocity field and associated error field. The technique was applied to a drifting buoy data set collected by the Coast Guard. A numerical experiment was also conducted to examine the number of buoys required to determine the velocity field in a typical Search and Rescue domain. Techniques for combining two velocity fields were also investigated. The research findings were that objective analysis techniques can be used to provide the Coast Guard with accurate estimates, in real time, of ocean surface velocity and associated error. Potential applications of this research are in support of Coast Guard Search and Rescue, Ice Patrol and Environmental Protection missions. (AN) |
author2 |
APPLIED MATHEMATICS INC GALES FERRY CT |
format |
Text |
title |
Objective Analysis of Oceanic Data for Coast Guard Trajectory Models. |
title_short |
Objective Analysis of Oceanic Data for Coast Guard Trajectory Models. |
title_full |
Objective Analysis of Oceanic Data for Coast Guard Trajectory Models. |
title_fullStr |
Objective Analysis of Oceanic Data for Coast Guard Trajectory Models. |
title_full_unstemmed |
Objective Analysis of Oceanic Data for Coast Guard Trajectory Models. |
title_sort |
objective analysis of oceanic data for coast guard trajectory models. |
publishDate |
1995 |
url |
http://www.dtic.mil/docs/citations/ADA292884 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA292884 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
DTIC AND NTIS |
op_relation |
http://www.dtic.mil/docs/citations/ADA292884 |
op_rights |
APPROVED FOR PUBLIC RELEASE |
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1766195316670857216 |