Data Assimilation in a One-Dimensional Oceanic Mixed Layer Model.

Abstract

Requirements for an operational oceanic mixed layer model are discussed. Data assimilation comparisons in oceanic modeling studies and in numerical weather prediction are made. A method for assimilating data in one-dimensional oceanic models is described. The Garwood One-Dimensional Oceanic Planetary Boundary Layer Model was modified for insertion of temperature profiles during model integration. The sensitivity of the model to insertions of erroneous temperature data is tested. Insertions were made in winter, summer, and during the spring transition. The hypothesis was formulated that forecasts made by the Garwood model could be improved by using all available past temperature information. Simulated temperature history profiles were created for 14 years between 1953 and 1969. The experiments showed improvement in the 15-day forecasts when 5, 15, or 30 history profiles were included in the initialization of the model. A gross-error check to eliminate erroneous profiles further increased forecast accuracy. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1980
Accession Number
ADA100153

Entities

People

  • Larry Lee Warrenfeltz

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Assimilation
  • Bibliographies
  • Boundaries
  • Boundary Layer
  • Computer Programs
  • Computers
  • Meteorology
  • Observation
  • Oceanography
  • Schools
  • Surface Temperature
  • Temperature Gradients
  • Transitions
  • United States
  • United States Naval Academy
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Approximation Theory.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Thermal Physics or Thermal Science.