Articles | Volume 10, issue 5
https://doi.org/10.5194/tc-10-2275-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-2275-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The EUMETSAT sea ice concentration climate data record
Rasmus T. Tonboe
CORRESPONDING AUTHOR
Danish Meteorological Institute, Lyngbyvej 100, Copenhagen, 2100, Denmark
Steinar Eastwood
Norwegian Meteorological Institute, P.O. Box 43, Oslo, 0313, Norway
Thomas Lavergne
Norwegian Meteorological Institute, P.O. Box 43, Oslo, 0313, Norway
Atle M. Sørensen
Norwegian Meteorological Institute, P.O. Box 43, Oslo, 0313, Norway
Nicholas Rathmann
University of Copenhagen, Juliane Maries Vej 30, Copenhagen, 2100, Denmark
Gorm Dybkjær
Danish Meteorological Institute, Lyngbyvej 100, Copenhagen, 2100, Denmark
Leif Toudal Pedersen
Danish Meteorological Institute, Lyngbyvej 100, Copenhagen, 2100, Denmark
Jacob L. Høyer
Danish Meteorological Institute, Lyngbyvej 100, Copenhagen, 2100, Denmark
Stefan Kern
Integrated Climate Data Center (ICDC) University of Hamburg, Grindelberg 5, Hamburg, 20144, Germany
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74 citations as recorded by crossref.
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- On the multi-fractal scaling properties of sea ice deformation P. Rampal et al. 10.5194/tc-13-2457-2019
- Pan-Arctic sea ice concentration from SAR and passive microwave T. Wulf et al. 10.5194/tc-18-5277-2024
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- Thin Ice Detection in the Barents and Kara Seas Using AMSR2 High-Frequency Radiometer Data M. Makynen & M. Simila 10.1109/TGRS.2019.2913283
- Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions X. Zhang et al. 10.1109/JSTARS.2021.3114228
- Calibration of Uncertainty in Sea Ice Concentration Retrieval With an Auxiliary Prediction Interval Estimator X. Chen et al. 10.1109/LGRS.2023.3330882
- Comparison of Arctic Sea Ice Concentrations from the NASA Team, ASI, and VASIA2 Algorithms with Summer and Winter Ship Data T. Alekseeva et al. 10.3390/rs11212481
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- Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. 10.1088/1748-9326/ab09b3
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- Calibration of subseasonal sea‐ice forecasts using ensemble model output statistics and observational uncertainty A. Dirkson et al. 10.1002/qj.4332
- Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä 10.3390/rs16091600
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- Deriving Arctic 2 m air temperatures over snow and ice from satellite surface temperature measurements P. Nielsen-Englyst et al. 10.5194/tc-15-3035-2021
- Comparison of Satellite Microwave and Visual Shipborne Data on Sea Ice Concentration T. Alekseeva et al. 10.1134/S0001433819090032
- Copernicus Ocean State Report, issue 6 10.1080/1755876X.2022.2095169
1 citations as recorded by crossref.
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Latest update: 23 Nov 2024
Short summary
The EUMETSAT sea ice climate record (ESICR) is based on the Nimbus 7 SMMR (1978–1987), the SSM/I (1987–2009), and the SSMIS (2003–today) microwave radiometer data. It uses a combination of two sea ice concentration algorithms with dynamical tie points, explicit atmospheric correction using numerical weather prediction data for error reduction and it comes with spatially and temporally varying uncertainty estimates describing the residual uncertainties.
The EUMETSAT sea ice climate record (ESICR) is based on the Nimbus 7 SMMR (1978–1987), the SSM/I...