Monthly Mean Sea Ice Data from the Polar Ice Prediction System (PIPS), the Regional Polar Ice Prediction System - Barents Sea (RPIPS-B), the Regional Polar Ice Prediction System - Greenland Sea (RPIPS-G), and the Polar Ice Prediction System 2.0 (PIPS2.0)

Abstract

The Polar Ice Prediction System (PIPS), the Regional Polar Ice Prediction System-Barents Sea (RPIPS-B) and the Regional Polar Ice Prediction System-Greenland Sea (RPIPS-G) are all operational sea ice forecasting systems which have been run daily at the Fleet Numerical Oceanography Center (FNOC) since September 1987, June 1989, and October 1991, respectively. The basis for all three models is the Hibler ice model. The Hibler ice model calculates ice drift, ice thickness, ice concentration (ice edge) and the growth/decay of ice based on both dynamic and thermodynamic effects. The ice models are driven by monthly mean ocean currents and deep ocean heat fluxes derived from the Hibler and Bryan (1987) coupled ice-ocean model. They are also driven by atmospheric forcing from the Navy Operational Global Atmospheric Prediction System (NOGAPS). The Polar Ice Prediction System 2.0 (PIPS2.0), a new version of PIPS, is presently undergoing the final testing phase. PIPS2.0 has been modified into a spherical coordinate version of PIPS and coupled with an ocean model. Similar to the operational models, daily atmospheric NOGAPS forcing is used to produce a 24-hour forecast.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1993
Accession Number
ADA262794

Entities

People

  • P. G. Posey
  • R. H. Preller

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Barents Sea
  • Deep Oceans
  • Fluid Dynamics
  • Geostrophic Wind
  • Greenland Sea
  • Heat Flux
  • High Resolution
  • Marginal Ice Zones
  • Military Research
  • Northern Hemisphere
  • Ocean Currents
  • Oceanography
  • Oceans
  • Regions
  • Sea Ice
  • Weather Forecasting
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Polar and Arctic Studies