Research on Ocean Forecasting and Nonlinear Wave Propagation and Numerical Hydrodynamics in the Ocean.

During this reporting period we carried out research which would improve the accuracy of the NPE (Nonlinear Progressive-Wave Equation), TOPS (Thermodynamic Ocean Prediction System) and Hibler Sea Ice models and would reduce the discrepancies between the models and actual experimental observations. T...

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Bibliographic Details
Other Authors: BERKELEY RESEARCH ASSOCIATES INC CA
Format: Text
Language:English
Published: 1988
Subjects:
Physical and Dynamic Oceanography
Statistics and Probability
Snow
Ice and Permafrost
*SEA ICE
ACCURACY
MARINE CLIMATOLOGY
COMPUTER PROGRAMS
CONCENTRATION(COMPOSITION)
DAMPING
DRIFT
FORECASTING
HEAT FLUX
HYDRODYNAMICS
ICE
MEAN
MATHEMATICAL MODELS
NONLINEAR PROPAGATION ANALYSIS
NUMERICAL ANALYSIS
OCEAN CURRENTS
OCEAN ENVIRONMENTS
OCEAN MODELS
OCEAN SURFACE
OCEANS
POLAR REGIONS
PREDICTIONS
REGIONS
SEA WATER
STATISTICAL PROCESSES
SURFACE PROPERTIES
SURFACE TEMPERATURE
THERMODYNAMICS
THICKNESS
WAVE PROPAGATION
MATHEMATICAL PREDICTION
VARIATIONS
Upper ocean
TOPS(Thermodynamic Ocean Prediction System)
Hibler ice model.
Ice
permafrost
Sea ice
Online Access:http://www.dtic.mil/docs/citations/ADA193363
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA193363
Description
Summary:During this reporting period we carried out research which would improve the accuracy of the NPE (Nonlinear Progressive-Wave Equation), TOPS (Thermodynamic Ocean Prediction System) and Hibler Sea Ice models and would reduce the discrepancies between the models and actual experimental observations. To simulate a greater variety of ocean environments, the NPE computer code was modified to include a damping region. The inclusion of these enhancements has provided a means to better understand real oceans. We also examined the ability of statistical techniques to forecast upper ocean deviations from climatology on 1 to 7 day time scales. Sea surface temperature deviations in the 2.5 to 62.5 meter region in depth were predicted using available information on surface conditions and 'recent' deviations at the same location. We used a hydrodynamic/thermodynamic sea ice model to predict sea ice concentration, thickness and drift. The operational model, the Polar Ice Prediction System is based on the Hibler (1979) model only with the addition of thermodynamics similar to that used by Semtner(1976). It is driven by atmospheric forcing from the Navy Operational Global Atmospheric Prediction System (NOGAPS) model, as well as monthly mean climatological ocean currents and oceanic heat fluxes. Keywords: Ocean models.

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