Software Design Document for the Polar Ice Prediction System Version 2.0.

Abstract

Since 1987, the Fleet Numerical Meteorology and Oceanography Center (FNMOC) has been running sea ice forecasting systems in various regions of Navy interest (the Central Arctic, the Barents Sea, and the Greenland Sea). The Polar Ice Prediction System (PIPS1.1) predicts sea ice conditions in the Arctic basin, the Barents Sea, and the Greenland Sea at a resolution of 127 km. Two regional sea ice forecasting systems, the Polar Ice Prediction System - Barents Sea (RPIPS-B) and the Polar Ice Prediction System - Greenland Sea (RPIPS-G), also predict sea ice conditions in the Barents and Greenland Seas, respectively, at a higher resolution of 20-25 km. In 1995, the Naval Research Laboratory delivered to FNMOC a coupled ice-ocean system, the Polar Ice Prediction System 2.0 (PIPS2.0), which predicts sea ice conditions of most of the ice-covered regions in the Northern Hemisphere. PIPS2.0 will replace the three existing operational forecast systems when it completes the final operational testing phase at FNMOC. PIPS2.0 uses as its basis the Hibler ice model and the Cox ocean model. PIPS2.0 has a resolution of approximately a quarter of a degree, which is similar to the resolution of the operational regional systems (RPIPS-B and RPIPS-G). This report briefly describes the main program and each of its subroutines.

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 1997
Accession Number
ADA335554

Entities

People

  • Pamela G. Posey
  • Ruth H. Preller

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Air Pressure
  • Computer Programs
  • Energy
  • Energy Transfer
  • Grids
  • Heat Balance
  • Heat Energy
  • Heat Of Fusion
  • Heat Transfer
  • Heat Transfer Coefficients
  • Latent Heat
  • Military Research
  • Oceans
  • Sea Ice
  • Software Design
  • Stratified Fluids
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

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