Information
Documentation

Global Low Resolution Sea Ice Drift data record, release 1

Released Climate product

A Climate Data Record of the sea-ice drift variable. Based on Passive Microwave Radiometer data (SSM/I, SSMIS, AMSR-E, and AMSR2).
L3+L4 daily files.

Identification
Acronym : GBL LR SIDR CDR R1
Product navigator reference :

EO:EUM:DAT:0787

OSI SAF producer : Norwegian Meteorological Institute
Identifier : OSI-455
Digital object identifier (DOI) 10.15770/EUM_SAF_OSI_0012
Acronym for EDC (APNM) : OR455SIDR
Characteristics
Processing level : L3+L4
Satellite input : SSM/I and SSMIS from CM SAF R4, AMSR-E (NSIDC) and AMSR2 (JAXA)
Other input : NWP outputs (Copernicus C3S ERA5)
Temporal sampling : 24 h
Central time : Displacement from (D-1)@12:00 to D@12:00
Spatial coverage : Global
Spatial sampling : 75 km
File Formats : HL FTP Server (NetCDF4), EDC (NetCDF4)
Characteristics & methods : Single and multi sensor analysis. Displacement after 24 hours in km.
Data Access
OSI SAF FTP Archive HL FTP server
EUMETSAT Multicast
EDC
Accuracy Requirements
Target accuracy : 5 km
Verification/validation method : Collocation with buoys. Target statistics are yearly std. dev. of the 48 hours displacement. See note at the bottom.
Applications and users
Usage : Climate models, NWP and Ocean/Ice reanalyses, environmental agencies.
History
Authorised to be operational / released :
Declared operational / released since :
On FTP server since :
First date :
Last date :
Comments
  • Verification/validation methods: Collocation with buoys. Target statistics are yearly std. dev. of the 48 hours displacement.
    Note regarding the accuracy targets: the accuracy requirements listed here are those valid for the near-real-time sea-ice drift product (OSI-405 family). The validation of this CDR might return worse statistics because: a) older buoy trajectories have seldom GPS positions; b) older satellite sensors have coarser spatial resolution, and potentially poorer geolocation accuracy.

     

  • Daily sea ice drift vectors, processed from passive microwave satellite data (SSM/I, SSMIS, AMSR-E and AMSR2) over the polar regions. Continuous maximum cross-correlation is used to calculate ice drift, including use of a wind-driven free-drift model in the summer melt season.

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