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Discussion papers | Copyright
https://doi.org/10.5194/tc-2018-127
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 16 Jul 2018

Research article | 16 Jul 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal The Cryosphere (TC).

Version 2 of the EUMETSAT OSI SAF and ESA CCI Sea Ice Concentration Climate Data Records

Thomas Lavergne1, Atle Macdonald Sørensen1, Stefan Kern2, Rasmus Tonboe3, Dirk Notz4, Signe Aaboe1, Louisa Bell4, Gorm Dybkjær3, Steinar Eastwood1, Carolina Gabarro5, Georg Heygster6, Mari Anne Killie1, Matilde Brandt Kreiner3, John Lavelle3, Roberto Saldo7, Stein Sandven8, and Leif Toudal Pedersen7 Thomas Lavergne et al.
  • 1Research and Development Department, Norwegian Meteorological Institute, Oslo, Norway
  • 2Integrated Climate Data Center, CEN, University of Hamburg, Hamburg, Germany
  • 3Danish Meteorological Institute, Copenhagen, Denmark
  • 4Max-Planck Institut für Meteorologie, Hamburg, Germany
  • 5Barcelona Expert Center, ICM-CSIC, Spain
  • 6Institute of Environmental Physics, University of Bremen, Bremen, Germany
  • 7Danish Technical University-Space, Copenhagen, Denmark
  • 8Nansen Environmental and Remote Sensing Center, Bergen, Norway

Abstract. We introduce the OSI-450, the SICCI-25km and the SICCI-50km climate data records of gridded global sea-ice concentration. These three records are derived from passive microwave satellite data and offer three distinct advantages compared to existing records: First, all three records provide quantitative information on uncertainty and possibly applied filtering at every grid point and every time step. Second, they are based on dynamic tie points, which capture the time evolution of surface characteristics of the ice cover and accommodate potential calibration differences between satellite missions. Third, they are produced in the context of sustained services offering 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 GHz and either 6GHz or 19GHz), in their horizontal resolution (25km or 50km) and in the time period they cover. We introduce the underlying algorithms and provide an initial evaluation. We find that all three records compare well with independent estimates of sea-ice concentration both in regions with very high sea-ice concentration and in regions with very low sea-ice concentration. We hence trust that these records will prove helpful for a better understanding of the evolution of the Earth's sea-ice cover.

Thomas Lavergne et al.
Interactive discussion
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Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Thomas Lavergne et al.
Data sets

ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 50km grid spacing, version 2.1 L. Toudal Pedersen, G. Dybkjær, S. Eastwood, G. Heygster, N. Ivanova, S. Kern, T. Lavergne, R. Saldo, S. Sandven, A. Sørensen, A. and R. Tonboe https://doi.org/10.5285/5f75fcb0c58740d99b07953797bc041e

ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 25km grid spacing, version 2.1 L. Toudal Pedersen, G. Dybkjær, S. Eastwood, G. Heygster, N. Ivanova, S. Kern, T. Lavergne, R. Saldo, S. Sandven, A. Sørensen, A. and R. Tonboe https://doi.org/10.5285/f17f146a31b14dfd960cde0874236ee5

EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF): Global Sea Ice Concentration Climate Data Record, version 2.0 L. Toudal Pedersen, G. Dybkjaer, S. Eastwood, M. A. Killie, J. Lavelle, T. Lavergne, H. Pfeiffer, A. Sørensen, and R. Tonboe https://doi.org/10.15770/EUM_SAF_OSI_0008

Thomas Lavergne et al.
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Short summary
Loss of polar sea-ice is an iconic indicator of Earth's climate change. Many satellite-based algorithms and resulting data exist but they differ widely in specific sea-ice conditions. This spread hinders a robust estimate of the future evolution of sea-ice cover. In this study, we document three new climate data records of sea-ice concentration that we generated using satellite data available over the last 40 years. We introduce the novel algorithms, the data records, and their uncertainties.
Loss of polar sea-ice is an iconic indicator of Earth's climate change. Many satellite-based...
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