Mapping Coastal Surface Winds in Monterey Bay Using High Frequency Radar

Abstract

Over-water wind directions derived from high frequency (HF) radar - the new Multi-frequency Coastal Radar (MCR) - are compared to in-situ observations to determine the skill of the radar measurements. Conventional beam processing of data collected from two MCR sites located around Monterey Bay during summer 1997 is used to create wind directions based on the relative strength of the positive and negative Bragg-resonant peaks, which correspond to the wind-driven waves approaching and receding from the radar, respectively. Based on a selected functional relationship that converts the radar signal to wind direction, radar-derived wind directions are created using a new wind-retrieval algorithm and are compared to mooring observations under a variety of wind conditions. Analysis indicates that the signal not only follows wind direction, but also strongly correlates to the wind speed measured at the mooring. Results show that many of the Bragg peaks are close to the noise level, and consequently, low signal-to-noise ratios restrict the statistical confidence of the measurements. Nonetheless, maps of radar-derived wind directions show good agreement with in situ observations, especially when the wind speed is relatively strong and is sustained for long duration.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1999
Accession Number
ADA362924

Entities

People

  • Raymond R. Delgado Iii

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Agreements
  • Air Force
  • Algorithms
  • California
  • Doppler Effect
  • Frequency
  • Measurement
  • Meteorology
  • Ocean Currents
  • Ocean Waves
  • Radar
  • Radar Signals
  • Scattering
  • Sky Waves
  • Wave Power
  • Wave Propagation
  • Wind

Fields of Study

  • Environmental science

Readers

  • Climatology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Radar Systems Engineering.