Integrating Feature-Oriented High-Resolution Synoptic Observations for MODAS

Our long-term goal is to develop a generic real-time shallow water capability for the Modular Ocean Data Assimilation System (MODAS), which will provide high horizontal resolution (1-10km) synoptic observations for operational nowcasting and forecasting for the U.S. Navy. Concurrently, we will devel...

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Hauptverfasser:	Gangopadhyay, Avijit, Warn-Varnas, Alex, Fox, Daniel N, Bub, Frank L
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Sprache:	eng
Schlagworte:	ASSIMILATION FORECASTING MODAS(MODULAR OCEAN DATA ASSIMILATION SYSTEM) OCEAN MODELS OCEANOGRAPHIC DATA Physical and Dynamic Oceanography SHALLOW WATER
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creator	Gangopadhyay, Avijit Warn-Varnas, Alex Fox, Daniel N Bub, Frank L
description	Our long-term goal is to develop a generic real-time shallow water capability for the Modular Ocean Data Assimilation System (MODAS), which will provide high horizontal resolution (1-10km) synoptic observations for operational nowcasting and forecasting for the U.S. Navy. Concurrently, we will develop a set of generic and portable shallow water feature models for application to shallow waters ( 30 m) anywhere in the world.
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Concurrently, we will develop a set of generic and portable shallow water feature models for application to shallow waters ( 30 m) anywhere in the world.</description><language>eng</language><subject>ASSIMILATION ; FORECASTING ; MODAS(MODULAR OCEAN DATA ASSIMILATION SYSTEM) ; OCEAN MODELS ; OCEANOGRAPHIC DATA ; Physical and Dynamic Oceanography ; SHALLOW WATER</subject><creationdate>2003</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,27567,27568</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA630168$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Gangopadhyay, Avijit</creatorcontrib><creatorcontrib>Warn-Varnas, Alex</creatorcontrib><creatorcontrib>Fox, Daniel N</creatorcontrib><creatorcontrib>Bub, Frank L</creatorcontrib><creatorcontrib>MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY</creatorcontrib><title>Integrating Feature-Oriented High-Resolution Synoptic Observations for MODAS</title><description>Our long-term goal is to develop a generic real-time shallow water capability for the Modular Ocean Data Assimilation System (MODAS), which will provide high horizontal resolution (1-10km) synoptic observations for operational nowcasting and forecasting for the U.S. Navy. 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subjects	ASSIMILATION FORECASTING MODAS(MODULAR OCEAN DATA ASSIMILATION SYSTEM) OCEAN MODELS OCEANOGRAPHIC DATA Physical and Dynamic Oceanography SHALLOW WATER
title	Integrating Feature-Oriented High-Resolution Synoptic Observations for MODAS
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