Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records

Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review

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  • Author: Lavergne, Thomas

    Norwegian Meteorological Institute, Norway

  • Author: Sørensen, Atle Macdonald

    Norwegian Meteorological Institute, Norway

  • Author: Kern, Stefan

    University of Hamburg, Germany

  • Author: Tonboe, Rasmus

    Danish Meteorological Institute, Denmark

  • Author: Notz, Dirk

    Max Planck Institute for Meteorology, Germany

  • Author: Aaboe, Signe

    Norwegian Meteorological Institute, Norway

  • Author: Bell, Louisa

    Max Planck Institute for Meteorology, Germany

  • Author: Dybkjaer, Gorm

    Danish Meteorological Institute, Denmark

  • Author: Eastwood, Steinar

    Norwegian Meteorological Institute, Norway

  • Author: Gabarro, Carolina

    Barcelona Expert Center on Remote Sensing, Spain

  • Author: Heygster, Georg

    University of Bremen, Germany

  • Author: Killie, Mari Anne

    Norwegian Meteorological Institute, Norway

  • Author: Brandt Kreiner, Matilde

    Danish Meteorological Institute, Denmark

  • Author: Lavelle, John

    Danish Meteorological Institute, Denmark

  • Author: Saldo, Roberto

    Microwaves and Remote Sensing, National Space Institute, Technical University of Denmark, Ørsteds Plads, 2800, Kgs. Lyngby, Denmark

  • Author: Sandven, Stein

    Nansen Environmental and Remote Sensing Center, Norway

  • Author: Pedersen, Leif Toudal

    Microwaves and Remote Sensing, National Space Institute, Technical University of Denmark, Ørsteds Plads, 2800, Kgs. Lyngby, Denmark

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We introduce the OSI-450, the SICCI-25km and the SICCI-50km climate datarecords of gridded global sea-ice concentration. These three records arederived from passive microwave satellite data and offer three distinctadvantages compared to existing records: first, all three records providequantitative information on uncertainty and possibly applied filtering atevery grid point and every time step. Second, they are based on dynamic tiepoints, which capture the time evolution of surface characteristics of theice cover and accommodate potential calibration differences between satellitemissions. Third, they are produced in the context of sustained servicesoffering committed extension, documentation, traceability, and user support.The three records differ in the underlying satellite data (SMMR & SSM/I& SSMIS or AMSR-E & AMSR2), in the imaging frequency channels (37 GHzand either 6 or 19 GHz), in their horizontal resolution (25 or 50 km), andin the time period they cover. We introduce the underlying algorithms andprovide an evaluation. We find that all three records compare well withindependent estimates of sea-ice concentration both in regions with very highsea-ice concentration and in regions with very low sea-ice concentration. Wehence trust that these records will prove helpful for a better understandingof the evolution of the Earth's sea-ice cover.

Original languageEnglish
JournalCryosphere
Volume13
Issue number1
Pages (from-to)49-78
ISSN1994-0416
DOIs
Publication statusPublished - 2019

Bibliographical note

© Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.

CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Environmental sciences, GE1-350, Geology, QE1-996.5

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