Implementation of PCTides in NITES II: A Focus on Mean Lower Low Water Reference

Abstract

This document provides information concerning the implementation of the Naval Research Laboratory PCTides model in the Naval Integrated Tactical Environmental System (NITES) II for predicting the times and heights of sea surface levels and the speed and direction of tidal currents. The purpose is to provide guidance for model development and implementation upgrades that will better support tactical users of the NITES II software. Focus is placed on the representation of tidal heights with a reference to mean lower low water (MLLW), rather than the mean sea level (MSL) reference currently used in PCTides outputs. A complete algorithm has been developed to convert from an MSL reference to an MLLW reference using information available from the PCTides model. The algorithm is presented, and its performance is evaluated by comparing MLLW offsets from MSL calculated from simulated PCTides output with offsets more accurately determined from tidal coefficients. Additionally, a limited evaluation of the overall accuracy of the PCTides model is provided, and the implications for MLLW reference conversion are discussed. Recommendations for model development and a road map for improved implementation are presented.

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Document Details

Document Type
Technical Report
Publication Date
May 15, 2006
Accession Number
ADA458582

Entities

People

  • Jeffrey W. Book
  • Michael L. Incze

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Computers
  • Data Sets
  • Databases
  • Environment
  • Grids
  • Guidance
  • Information Systems
  • Measurement
  • Military Research
  • Naval Warfare
  • Sea Level
  • Tidal Currents
  • Undersea Warfare
  • Unmanned Underwater Vehicles
  • Warfare

Fields of Study

  • Environmental science

Readers

  • Business Analytics
  • Marksmanship and Weaponry.
  • Organizational Process Management (OPM).