Recent Updates to SWANFAR (registered trademark), a 5DVAR Data Assimilation System for SWAN

Abstract

SWANFAR(registered name), a five-dimensional variational (5DVar) data assimilation system, was built from the architecture of the spectral wave model SWAN. Initially designed to solve only the stationary, homogeneous wave action equation, the system has been updated to include adjoint and tangent-linear subroutines for nonlinear source/sink components of SWAN version 40.81, to perform nonstationary assimilations, and to apply covariance multipliers. The initial development of the stationary system, excluding source and sink terms, is described in Orzech et al. (2013). In the present report, we first discuss the building and testing of the nonstationary system with source and sink terms, detailing the status of all related subroutines. We then briefly summarize the implementation of radial, spectral, and temporal covariance expressions, which are more fully detailed in Veeramony et al. (2016). Results from twin experiments and field tests of the system at different stages are presented, followed by discussion of the advantages and limitations of spectral data assimilation built upon the SWAN architecture. Guidelines for performing an assimilation with SWANFAR(registered name), along with samples of relevant scripts and files, are provided in several appendices.

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Document Details

Document Type
Technical Report
Publication Date
Nov 10, 2016
Accession Number
ADA640877

Entities

People

  • Hans E. Ngodock
  • Innocent Souopgui
  • Jayaram Veeramony
  • Mark D. Orzech
  • Stylianos Flampouris

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Assimilation
  • Boundaries
  • Coastal Regions
  • Covariance
  • Directories
  • Frequency
  • Ocean Waves
  • Oceanography
  • Oceans
  • Regions
  • Shell Scripts
  • Simulations
  • Statistics
  • Two Dimensional
  • Wave Power
  • Waves

Readers

  • Coastal Oceanography
  • Computer Science.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers