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
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 Cen...
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ftdtic:ADA280095 2023-05-15T15:39:11+02:00 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 Posey, P. G. Preller, R. H. NAVAL RESEARCH LAB STENNIS SPACE CENTER MS OCEAN DYNAMICS AND PREDICTION BRANCH 1994-05-06 text/html http://www.dtic.mil/docs/citations/ADA280095 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA280095 en eng http://www.dtic.mil/docs/citations/ADA280095 Approved for public release; distribution is unlimited. DTIC AND NTIS Physical and Dynamic Oceanography Snow Ice and Permafrost *OCEAN MODELS *SEA ICE *ICE FORECASTING POLAR REGIONS THICKNESS GLOBAL OCEAN CURRENTS WEATHER PREDICTIONS THERMODYNAMICS WIND FORECASTING ICE FORMATION DRIFT ICE NAVAL RESEARCH MAPS MEAN HEAT HEAT FLUX GREENLAND OCEANOGRAPHY GREENLAND SEA DEEP OCEANS PE63207N WUDN894428 ICE CONCENTRATION Text 1994 ftdtic 2016-02-22T03:07:24Z 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. Text Barents Sea Greenland Greenland Sea Ice permafrost Sea ice Defense Technical Information Center: DTIC Technical Reports database Barents Sea Greenland |
institution |
Open Polar |
collection |
Defense Technical Information Center: DTIC Technical Reports database |
op_collection_id |
ftdtic |
language |
English |
topic |
Physical and Dynamic Oceanography Snow Ice and Permafrost *OCEAN MODELS *SEA ICE *ICE FORECASTING POLAR REGIONS THICKNESS GLOBAL OCEAN CURRENTS WEATHER PREDICTIONS THERMODYNAMICS WIND FORECASTING ICE FORMATION DRIFT ICE NAVAL RESEARCH MAPS MEAN HEAT HEAT FLUX GREENLAND OCEANOGRAPHY GREENLAND SEA DEEP OCEANS PE63207N WUDN894428 ICE CONCENTRATION |
spellingShingle |
Physical and Dynamic Oceanography Snow Ice and Permafrost *OCEAN MODELS *SEA ICE *ICE FORECASTING POLAR REGIONS THICKNESS GLOBAL OCEAN CURRENTS WEATHER PREDICTIONS THERMODYNAMICS WIND FORECASTING ICE FORMATION DRIFT ICE NAVAL RESEARCH MAPS MEAN HEAT HEAT FLUX GREENLAND OCEANOGRAPHY GREENLAND SEA DEEP OCEANS PE63207N WUDN894428 ICE CONCENTRATION Posey, P. G. Preller, R. H. 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 |
topic_facet |
Physical and Dynamic Oceanography Snow Ice and Permafrost *OCEAN MODELS *SEA ICE *ICE FORECASTING POLAR REGIONS THICKNESS GLOBAL OCEAN CURRENTS WEATHER PREDICTIONS THERMODYNAMICS WIND FORECASTING ICE FORMATION DRIFT ICE NAVAL RESEARCH MAPS MEAN HEAT HEAT FLUX GREENLAND OCEANOGRAPHY GREENLAND SEA DEEP OCEANS PE63207N WUDN894428 ICE CONCENTRATION |
description |
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. |
author2 |
NAVAL RESEARCH LAB STENNIS SPACE CENTER MS OCEAN DYNAMICS AND PREDICTION BRANCH |
format |
Text |
author |
Posey, P. G. Preller, R. H. |
author_facet |
Posey, P. G. Preller, R. H. |
author_sort |
Posey, P. G. |
title |
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 |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
publishDate |
1994 |
url |
http://www.dtic.mil/docs/citations/ADA280095 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA280095 |
geographic |
Barents Sea Greenland |
geographic_facet |
Barents Sea Greenland |
genre |
Barents Sea Greenland Greenland Sea Ice permafrost Sea ice |
genre_facet |
Barents Sea Greenland Greenland Sea Ice permafrost Sea ice |
op_source |
DTIC AND NTIS |
op_relation |
http://www.dtic.mil/docs/citations/ADA280095 |
op_rights |
Approved for public release; distribution is unlimited. |
_version_ |
1766370642377048064 |