Accession Number : ADA113837

Title :   One-Dimensional Model Predictions of Upper Ocean Temperature Changes between San Francisco and Hawaii.

Descriptive Note : Master's thesis,

Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s) : Steiner,Edward F

PDF Url : ADA113837

Report Date : Dec 1981

Pagination or Media Count : 80

Abstract : Previous tests of one-dimensional oceanic mixed layer models have generally used long time series of data at specific locations, such as at the ocean weather ships. In this work the Garwood model was used to make a series of predictions of upper ocean thermal structure changes along the shipping track between San Francisco and Hawaii, from 1 January to 16 December 1978. The initial and verifying ocean temperature profiles provided by the National Marine Fisheries Service, were objectively analyzed on a space-time grid, where the spatial dimension was along the shipping track. The grid resolution is 100 km and 15 days, which defines the basic prediction increment. The ocean mixed layer model was driven with the winds and heat fluxes derived from the Fleet Numerical Oceanography Center's atmospheric analyses. A preliminary check of local heat balance was made by comparing the observed change in heat content with the accumulated surface heat flux. Comparison of the observations and the 1-d mixed layer model predictions shows a large variability in model performance. Relatively good predictions were made during periods of shallowing or unchanging mixed layer depth, while poorer prediction occur during periods of rapid deepening. Variability along the track indicates superior performance in the subtropical region, with prediction accuracy decreasing in the region of the subtropical front and the California Current, where physical processes not included in the model are relatively large. (Author)

Descriptors :   *Temperature, *Ocean models, One dimensional, North Pacific Ocean, Mixed layer(Marine), Profiles, Mathematical prediction, Wind, Heat flux, Theses

Subject Categories : Meteorology
      Physical and Dynamic Oceanography

Distribution Statement : APPROVED FOR PUBLIC RELEASE