Licensed under CC BY 4.0 by EUMETSAT
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). Summer seasons are gap-filled using a Free Drift model forced with ERA5 10m wind data.
L3+L4 daily files.

Identification
Acronym : GBL LR SIDR CDR R1
EUMETSAT collection ref. :

EO:EUM:DAT:0787

OSI SAF producer : Norwegian Meteorological Institute
Identifier : OSI-455
Digital object identifier (DOI) 10.15770/EUM_SAF_OSI_0012
Id for archive (APNM) : OR455SIDR
Licence/Attribution/Citation : CC BY 4.0 See below
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 Format(s) : NetCDF4
Characteristics & methods : Single and multi sensor analysis. Displacement after 24 hours in km.
Data Access

OSI SAF FTP server

ftp://osisaf.met.no/reprocessed/

Directory: ice/drift_lr/v1

Redistribution by Copernicus Climate Change Service

Accuracy Requirements
Target accuracy : 5 km
Verification/validation method : Collocation with buoys. Target statistics are yearly std. dev. of the 24 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 :
Full series temporal coverage : 1991-2020
Licence/Attribution/Citation
Licence : CC BY 4.0
Attribution : You must include attribution to EUMETSAT OSI SAF
Recommended citation : EUMETSAT OSI SAF, Global Low Resolution Sea Ice Drift data record 1991-2020 (v1, 2022), OSI-455, doi: 10.15770/EUM_SAF_OSI_0012
References : BibteX entry
Comments
  • 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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