From Weather to Wave Response: An End-to-End Process for Bringing Environmental Data to Distributed Simulations.

Abstract

As part of the DMSO-sponsored "Representational Resources Integration Experiment" (RRlE), NRL teamed with the Advanced Amphibious Assault Vehicle (AAAV) Technology Center to explore moving real ocean surf data through a Distributed Simulation network to a JointSAF representation of the AAAV which had been made dynamically responsive to ocean surface waves. In a multi-stage process, (1) surf conditions of interest were identified, (2) historical data were searched for matching conditions, (3) a series of surf models provided hindcasts for the identified time and region, (4) the data were served to the JointSAF system, and (5) the wave response of the AAAV model was measured. Providing consistent surf data involved searches of surf buoy data, use of the NORAPS weather forecast model, wave and surf models including WAM, STWAVE, and SURF96, and the Total Atmosphere and Ocean Server Surf Receivers. Consistency was ensured from model to model. The AAAV model had to be modified to make it respond properly to waves, some minor software was built to measure the response, and the newest versions of JointSAF and TAOS were needed to complete the process. Significant challenges were encountered at each step. This paper details these challenges and explains the steps we went through to get "from weather to wave response."

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1999
Accession Number
ADA369398

Entities

People

  • Kasl B. Washburn
  • Paul Maassel
  • Richard Allard

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Amphibious Military Vehicles
  • Amphibious Vehicles
  • Deep Oceans
  • Deep Water
  • Frequency
  • Grids
  • Oceans
  • Shallow Water
  • Ship Hulls
  • Simulations
  • Simulators
  • Standards
  • Terrain
  • Tracked Vehicles
  • Two Dimensional
  • Vehicles
  • Water

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Coastal Oceanography
  • Computational Modeling and Simulation