Research article
09 Jan 2019
Research article
| 09 Jan 2019
Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records
Thomas Lavergne et al.
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Cited
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- Spatial Damped Anomaly Persistence of the Sea Ice Edge as a Benchmark for Dynamical Forecast Systems B. Niraula & H. Goessling 10.1029/2021JC017784
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- Impacts of initial conditions and model configuration on simulations of polar lows near Svalbard using Polar WRF with 3DVAR J. Xue et al. 10.1002/qj.4158
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107 citations as recorded by crossref.
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- Assessing uncertainties in sea ice extent climate indicators W. Meier & J. Stewart 10.1088/1748-9326/aaf52c
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- Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer L. Kilic et al. 10.3390/rs12071060
- DASSO: a data assimilation system for the Southern Ocean that utilizes both sea-ice concentration and thickness observations H. Luo et al. 10.1017/jog.2021.57
- Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
- Exploring the influence of the North Pacific Rossby wave sources on the variability of summer atmospheric circulation and precipitation over the Northern Hemisphere R. Fuentes-Franco et al. 10.1007/s00382-022-06194-4
- Effects of Ice Freeze-Thaw Processes on U Isotope Compositions in Saline Lakes and Their Potential Environmental Implications P. Zhang et al. 10.3389/feart.2021.779954
- Simulated Geophysical Noise in Sea Ice Concentration Estimates of Open Water and Snow-Covered Sea Ice R. Tonboe et al. 10.1109/JSTARS.2021.3134021
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- Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al. 10.1080/1755876X.2021.1946240
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- Global Wave Hindcasts Using the Observation‐Based Source Terms: Description and Validation Q. Liu et al. 10.1029/2021MS002493
- The Influence of Surface Sediment Presence on Observed Passive Microwave Brightness Temperatures of First-Year Sea Ice during the Summer Melt Period M. Harasyn et al. 10.1080/07038992.2019.1625759
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
- The Arctic Subpolar Gyre sTate Estimate: Description and Assessment of a Data‐Constrained, Dynamically Consistent Ocean‐Sea Ice Estimate for 2002–2017 A. Nguyen et al. 10.1029/2020MS002398
- The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output C. Burgard et al. 10.5194/tc-14-2369-2020
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Latest update: 04 Jul 2022
Short summary
The 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 generated using satellite data available over the last 40 years. We introduce the novel algorithms, the data records, and their uncertainties.
The loss of polar sea ice is an iconic indicator of Earth’s climate change. Many...