COAMPS Modeled Surface Layer Refractivity in the Roughness and Evaporation Duct Experiment 2001

Abstract

A study of the performance of the Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) was performed based on collected METOC properties affecting radar propagation during the Roughness and Evaporation Duct (RED) experiment conducted off the windward coast of Oahu, HI. The measured refractivity influencing parameters (SST, air temperature, humidity, and wind speed) were compared to COAMPS predicted values. Using the NPS bulk evaporation duct model, profiles of the modified refractivity were computed from the buoy data and compared to profiles computed from the COAMPS data. The profiles were obtained concurrently with S-Band propagation measurements along a 26-km path. The radar propagation predictions created by APM from the modified refractivity profiles, derived from the measured METOC values and COAMPS modeled values, were compared to the in situ measured propagation losses. The mean RMS enor of the prop loss predictions derived from the COAMPS forecasted METOC values was <4 dB compared to a mean RMS error of <3 dB from the in situ measurement derived prop loss predictions. Significantly larger errors occurred at the COAMPS analysis times. Overall, the results are very promising for this trade wind region, where the air is cooler than the relatively warm sea surface.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA417619

Entities

People

  • D. A. Newton

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Temperature
  • Barometric Pressure
  • Boundary Layer
  • Humidity
  • Measurement
  • Meteorology
  • Naval Vessels (Combatant)
  • Naval Warfare
  • Navy
  • Radio Frequency
  • Radio Waves
  • Sea Surface Temperature
  • Surface Temperature
  • Uss Port Royal
  • Water Vapor
  • Weather

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Wave Propagation and Nonlinear Chaotic Dynamics.