A Blending Technique for Data Assimilation Into An Arctic Sea Ice Model

The Polar Ice Prediction System (PIPS) is an operational numerical model used for the daily prediction of ice drift and ice growth/decay in the Arctic. PIPS has as its basis the Hibler ice model and is driven by atmospheric forcing, geostrophic ocean currents and deep oceanic heat fluxes. The model...

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Bibliographic Details
Main Authors: Cheng, Abe, Preller, Ruth
Other Authors: NAVAL OCEANOGRAPHIC AND ATMOSPHERIC RESEARCH LAB STENNIS SPACE CENTER MS
Format: Text
Language:English
Published: 1989
Subjects:
Snow
Ice and Permafrost
*MATHEMATICAL MODELS
*ICE FORECASTING
*SEA ICE
OCEAN CURRENTS
SCANNING
PREDICTIONS
MODELS
EDGES
GROWTH(GENERAL)
OBSERVATION
MICROWAVES
MICROWAVE EQUIPMENT
ESTIMATES
REGRESSION ANALYSIS
WEIGHTING FUNCTIONS
DRIFT
ICE
ARTIFICIAL SATELLITES
CONCENTRATION(COMPOSITION)
INSTRUMENTATION
NONLINEAR ANALYSIS
RADIOMETERS
OCEANS
EQUATIONS
CONTINUITY
ASSIMILATION
HEAT FLUX
GEOSTROPHIC CURRENTS
DAILY OCCURRENCE
DECAY
MULTICHANNEL
OPEN WATER
ARCTIC REGIONS
POLAR REGIONS
ARCTIC OCEAN
DETECTORS
PIPS(POLAR ICE PREDICTION SYSTEM)
PE63207N
WUDN894428
Arctic
Arctic Ocean
Ice
permafrost
Sea ice
Online Access:http://www.dtic.mil/docs/citations/ADA231769
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA231769
Description
Summary:The Polar Ice Prediction System (PIPS) is an operational numerical model used for the daily prediction of ice drift and ice growth/decay in the Arctic. PIPS has as its basis the Hibler ice model and is driven by atmospheric forcing, geostrophic ocean currents and deep oceanic heat fluxes. The model is initialized once per week by the Naval Polar Oceanography Center's (NPOC) analysis of ice concentration. The existing method of initialization completely replaces the model derived concentration with the NPOC data. This study describes a new method, nonlinear regression, of blending the continuity equation and available data with the model derived concentration field to obtain a more realistic updated field. The final estimated ice concentration is the best fit among the equation and data. Since the NPOC ice edge and open water are based on field observation, they are assumed reliable and a weighting method is used to constrain them in regression. Errors which might occur in the digitized NPOC ice edge could be adjusted by weighting atmospheric forcing and/or the model derived concentration. Another advantage of the regression method is to include more available, related data such as the satellite ice concentration from the Scanning Multichannel Microwave Radiometer (SMMR) and Special Sensor Microwave Instrument (SSMI).

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