Configuring High Frequency Radar Observations in the Southern Chukchi Sea

Abstract

In recent years, monitoring offshore surface circulation in the Arctic Ocean with high frequency radars has become an issue of increasing practical importance. In this study, radar positions are optimized by minimizing the reconstruction errors of the surface currents in the Southeastern Chukchi Sea. By means of an adjoint sensitivity technique it is shown that in the case of a pair of radars, their optimal (i.e. most favorable) location is at Kivalina, a settlement near the strongest outflow of the Alaskan Coastal Current from the monitored domain. The least favorable location is at Shishmaref, a settlement near relatively weak inflow into the region as observed from the coast. However, if two pairs of radars are available, the best locations are Kivalina and Shishmaref. The results are verified using observational system simulation experiments (OSSEs) performed in the framework of a 4-dimensional variational assimilation of simulated radar observations into a numerical model. It is shown that correct specification of the first guess solution is of primary importance for obtaining realistic results from both adjoint sensitivity analysis and OSSEs. This emphasizes the necessity of obtaining accurate high resolution climatologies for future ice-free offshore regions in the Arctic.

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Document Details

Document Type
Technical Report
Publication Date
Feb 24, 2013
Accession Number
ADA582636

Entities

People

  • Gleb Panteleev
  • Max I. Yaremchuk
  • Oceana Francis
  • Takashi Kikuchi

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Arctic Ocean
  • Assimilation
  • Barents Sea
  • Boundaries
  • Chukchi Sea
  • Earth Sciences
  • Frequency
  • Grids
  • High Resolution
  • Monitoring
  • Ocean Currents
  • Ocean Observing Systems
  • Oceanography
  • Oceans
  • Radial Velocity
  • Simulations
  • Topography

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Polar and Arctic Studies
  • Sensor Fusion and Tracking Systems.