Monthly Mean Sea Ice Data from the Polar Ice Prediction System, the Regional Polar Ice Prediction System - Barents Sea and the Regional Polar Ice Prediction System - Greenland Sea

Abstract

The Polar Ice Prediction System (PIPS), the Regional Polar Ice Prediction System - Barents (RPIPS-B) and the Regional Polar Ice Prediction System - Greenland Sea (RPIPS-G) are all operational sea ice forecasting systems that have been run daily at the Fleet Numerical Meteorology and Oceanography Center (FNMOC) since September 1987, June 1989, and October 1991, respectively. The basis for all three models is the Hibler ice model (Hibler, W. D. (1 979). A Dynamic Thermodynamic Sea Ice Model. Journal of Physical Oceanography 9:815-846; Hibler, W. D. (1 980). Modeling a Variable Thickness Sea Ice Cover. Monthly Weather Review 108:1944-1973). The ice models are driven by monthly mean ocean currents and deep ocean heat fluxes derived from the Hibler and Bryan (A diagnostic Ice-Ocean Model. Journal Physical Oceanography 17:987-1015 (1987) coupled ice-ocean model. They are also driven by atmospheric forcing from the Navy Operational Global Atmospheric Prediction System (NOGAPS) (Rosmond, T. E. (1981). NOGAPS: Navy Operational Global Atmospheric Prediction System. In Fifth Conference on Numerical Weather Prediction (Monterey, California), American Meteorological Society, Boston, Massachusetts, preprint volume, 74-79; Hogan et al. (1990). The Description of the Navy Operational Global Atmospheric Prediction System's Forecast Model. Naval Research Laboratory, Monterey, California, NOARL Report 13). Each day a 24-h forecast of PIPS, RPIPS-B, and RPIPS-G is submitted and archived by the Naval Research Laboratory. Sea ice forecasting, Sea ice models, Sea ice analysis.

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Document Details

Document Type
Technical Report
Publication Date
May 06, 1994
Accession Number
ADA280095

Entities

People

  • P. G. Posey
  • R. H. Preller

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Barents Sea
  • California
  • Chukchi Sea
  • Deep Oceans
  • Geostrophic Wind
  • Greenland Sea
  • High Resolution
  • Meteorology
  • Military Research
  • Ocean Currents
  • Oceanography
  • Oceans
  • Regions
  • Sea Ice
  • Weather Forecasting
  • Wind
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

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