Mesoscale Ocean Forecast/Assimilation Studies
The long-term goal over this three-year project has been to develop computer software needed to optimize initial conditions, internal parameters and external parameters for the Harvard primitive equation (PE) model in order to produce the best forecasts in an arbitrary region. This new tool invokes...
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ftdtic:ADA542113 2023-05-15T16:10:57+02:00 Mesoscale Ocean Forecast/Assimilation Studies Miller, Arthur J. Cornuelle, Bruce D. CALIFORNIA UNIV REGENTS LA JOLLA CA SCRIPPS INST OF OCEANOGRAPHY 1998-09-30 text/html http://www.dtic.mil/docs/citations/ADA542113 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA542113 en eng http://www.dtic.mil/docs/citations/ADA542113 Approved for public release; distribution is unlimited. DTIC Physical and Dynamic Oceanography *FRONTS(OCEANOGRAPHY) *FORECASTING SOFTWARE TOOLS ICELAND FAROE ISLANDS INTERPOLATION PARAMETERS OCEAN MODELS CURRENT MEANDERING HAMMERHEAD BAROCLINIC INSTABILITY HYDROGRAPHIC DATA ICELAND-FAEROE FRONT MODEL FITTING NONLINEARITY OCEAN FORECAST MODELS OCEAN FORECASTING PARAMETERIZATION PRIMITIVE EQUATION MODEL UNSTABLE REGIONS Text 1998 ftdtic 2016-02-23T07:31:50Z The long-term goal over this three-year project has been to develop computer software needed to optimize initial conditions, internal parameters and external parameters for the Harvard primitive equation (PE) model in order to produce the best forecasts in an arbitrary region. This new tool invokes an inverse technique to fuse all available data types, gathered non-synoptically, with optimized model dynamics. The technique is distinct from (and complementary to) the optimal interpolation and Kalman filter assimilation strategies now being developed and used at Harvard (e.g., Lermusiaux, 1997). The scientific objectives of this research include answering the following questions. Can forecast skill in a highly unstable region like the Iceland-Faeroe Front be extended to 7 days? Can a diagnostic simulation over a 10-day interval in that region include all the data in an inverse calculation, or is it too nonlinear? What are the relative impacts of the various data types (CTD/XBT/XCTD casts, current meters, surface drifters) on making forecasts in this region? The technical objectives encompass the details of the model fitting process. How nonlinear is the fit? Can the nonlinearity be reduced by optimizing large-scale structure first? How much data can be fit at one time? Is the distribution of the data sufficient to initialize the model? Are the open boundaries causing instabilities in the model? See also ADM002252. Text Faroe Islands Iceland Defense Technical Information Center: DTIC Technical Reports database Faroe Islands |
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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 *FRONTS(OCEANOGRAPHY) *FORECASTING SOFTWARE TOOLS ICELAND FAROE ISLANDS INTERPOLATION PARAMETERS OCEAN MODELS CURRENT MEANDERING HAMMERHEAD BAROCLINIC INSTABILITY HYDROGRAPHIC DATA ICELAND-FAEROE FRONT MODEL FITTING NONLINEARITY OCEAN FORECAST MODELS OCEAN FORECASTING PARAMETERIZATION PRIMITIVE EQUATION MODEL UNSTABLE REGIONS |
spellingShingle |
Physical and Dynamic Oceanography *FRONTS(OCEANOGRAPHY) *FORECASTING SOFTWARE TOOLS ICELAND FAROE ISLANDS INTERPOLATION PARAMETERS OCEAN MODELS CURRENT MEANDERING HAMMERHEAD BAROCLINIC INSTABILITY HYDROGRAPHIC DATA ICELAND-FAEROE FRONT MODEL FITTING NONLINEARITY OCEAN FORECAST MODELS OCEAN FORECASTING PARAMETERIZATION PRIMITIVE EQUATION MODEL UNSTABLE REGIONS Miller, Arthur J. Cornuelle, Bruce D. Mesoscale Ocean Forecast/Assimilation Studies |
topic_facet |
Physical and Dynamic Oceanography *FRONTS(OCEANOGRAPHY) *FORECASTING SOFTWARE TOOLS ICELAND FAROE ISLANDS INTERPOLATION PARAMETERS OCEAN MODELS CURRENT MEANDERING HAMMERHEAD BAROCLINIC INSTABILITY HYDROGRAPHIC DATA ICELAND-FAEROE FRONT MODEL FITTING NONLINEARITY OCEAN FORECAST MODELS OCEAN FORECASTING PARAMETERIZATION PRIMITIVE EQUATION MODEL UNSTABLE REGIONS |
description |
The long-term goal over this three-year project has been to develop computer software needed to optimize initial conditions, internal parameters and external parameters for the Harvard primitive equation (PE) model in order to produce the best forecasts in an arbitrary region. This new tool invokes an inverse technique to fuse all available data types, gathered non-synoptically, with optimized model dynamics. The technique is distinct from (and complementary to) the optimal interpolation and Kalman filter assimilation strategies now being developed and used at Harvard (e.g., Lermusiaux, 1997). The scientific objectives of this research include answering the following questions. Can forecast skill in a highly unstable region like the Iceland-Faeroe Front be extended to 7 days? Can a diagnostic simulation over a 10-day interval in that region include all the data in an inverse calculation, or is it too nonlinear? What are the relative impacts of the various data types (CTD/XBT/XCTD casts, current meters, surface drifters) on making forecasts in this region? The technical objectives encompass the details of the model fitting process. How nonlinear is the fit? Can the nonlinearity be reduced by optimizing large-scale structure first? How much data can be fit at one time? Is the distribution of the data sufficient to initialize the model? Are the open boundaries causing instabilities in the model? See also ADM002252. |
author2 |
CALIFORNIA UNIV REGENTS LA JOLLA CA SCRIPPS INST OF OCEANOGRAPHY |
format |
Text |
author |
Miller, Arthur J. Cornuelle, Bruce D. |
author_facet |
Miller, Arthur J. Cornuelle, Bruce D. |
author_sort |
Miller, Arthur J. |
title |
Mesoscale Ocean Forecast/Assimilation Studies |
title_short |
Mesoscale Ocean Forecast/Assimilation Studies |
title_full |
Mesoscale Ocean Forecast/Assimilation Studies |
title_fullStr |
Mesoscale Ocean Forecast/Assimilation Studies |
title_full_unstemmed |
Mesoscale Ocean Forecast/Assimilation Studies |
title_sort |
mesoscale ocean forecast/assimilation studies |
publishDate |
1998 |
url |
http://www.dtic.mil/docs/citations/ADA542113 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA542113 |
geographic |
Faroe Islands |
geographic_facet |
Faroe Islands |
genre |
Faroe Islands Iceland |
genre_facet |
Faroe Islands Iceland |
op_source |
DTIC |
op_relation |
http://www.dtic.mil/docs/citations/ADA542113 |
op_rights |
Approved for public release; distribution is unlimited. |
_version_ |
1765996075168038912 |