Accession Number : AD1004224


Title :   Improving Arctic Sea Ice Edge Forecasts by Assimilating High Horizontal Resolution Sea Ice Concentration Data into the US Navy's Ice Forecast Systems


Descriptive Note : Journal Article


Corporate Author : Naval Research Laboratory Stennis Space Center United States


Personal Author(s) : Posey,Pamela G ; Metzger,E J ; Wallcraft,A J ; Hebert,D A ; Allard,R A ; Smedstad,O M ; Phelps,M W ; Fetterer,F ; Stewart,J S ; Meier,W N ; Helfrich,S R


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1004224.pdf


Report Date : 13 Jun 2016


Pagination or Media Count : 14


Abstract : This study presents the improvement in ice edge error within the US Navy's operational sea ice forecast systems gained by assimilating high horizontal resolution satellite-derived ice concentration products. Since the late 1980's, the ice forecast systems have assimilated near realtime sea ice concentration derived from the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/ Imager (SSMI and then SSMIS). The resolution of the satellite-derived product was approximately the same as the previous operational ice forecast system (25 km). As the sea ice forecast model resolution increased over time, the need for higher horizontal resolution observational data grew. In 2013, a new Navy sea ice forecast system (Arctic Cap Nowcast/Forecast System - ACNFS) went into operations with a horizontal resolution of _3.5 km at the North Pole. A method of blending ice concentration observations from the Advanced Microwave Scanning Radiometer (AMSR2) along with a sea ice mask produced by the National Ice Center (NIC) has been developed, resulting in an ice concentration product with very high spatial resolution. In this study, ACNFS was initialized with this newly developed high resolution blended ice concentration product. The daily ice edge locations from model hindcast simulations were compared against independent observed ice edge locations. ACNFS initialized using the high resolution blended ice concentration data product decreased predicted ice edge location error compared to the operational system that only assimilated SSMIS data. A second evaluation assimilating the new blended sea ice concentration product into the pre-operational Navy Global Ocean Forecast System 3.1 also showed a substantial improvement in ice edge location over a system using the SSMIS sea ice concentration product alone.


Descriptors :   SEA ICE , NAVY


Distribution Statement : APPROVED FOR PUBLIC RELEASE