Estimation of Free Parameters by Inverse Modeling,

Abstract

An objective procedure is presented which allows the systematic determination of free model parameters in numerical models. A nonlinear inverse technique is applied to fit the model to observations. Optimal values for the free parameters are found in a systematic way be minimizing the least squares distance between modeled and observed data. The method is applied to a general circulation model (GCM) of the Atlantic Ocean. The GCM includes an embedded mixed layer model based on the equation of turbulent kinetic energy. A number of free parameters describe, e.g., the efficiency of wind stirring, decay scales of turbulence, and so forth. They are determined by fitting the annual cycle of the modeled mixed layer depth to climatological data. The parameter values and their error covariance matrix are computed.

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1993
Accession Number
ADP008741

Entities

People

  • Jens Schroter

Organizations

  • Alfred Wegener Institute for Polar and Marine Research

Tags

DTIC Thesaurus Topics

  • Atlantic Ocean
  • Covariance
  • Efficiency
  • Energy
  • Equations
  • Kinetic Energy
  • Mixing
  • Observation
  • Oceanography
  • Oceans
  • Physical Oceanography
  • Turbulence
  • Turbulent Mixing
  • Workshops

Readers

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