Articles | Volume 14, issue 7
https://doi.org/10.5194/tc-14-2469-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-2469-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jul 2020
Research article |
| 28 Jul 2020
| 28 Jul 2020
Satellite passive microwave sea-ice concentration data set inter-comparison for Arctic summer conditions
Integrated Climate Data Center (ICDC), Center for Earth System
Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany
Thomas Lavergne
Research and Development Department, Norwegian Meteorological
Institute, Oslo, Norway
Dirk Notz
Institute for Marine Research, University of Hamburg and Max Planck
Institute for Meteorology, Hamburg, Germany
Leif Toudal Pedersen
Danish Technical University, Lyngby, Denmark
Rasmus Tonboe
Danish Meteorological Institute, Copenhagen, Denmark
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41 citations as recorded by crossref.
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- On the Origin of Discrepancies Between Observed and Simulated Memory of Arctic Sea Ice C. Giesse et al. 10.1029/2020GL091784
- Relevance of warm air intrusions for Arctic satellite sea ice concentration time series P. Rostosky & G. Spreen 10.5194/tc-17-3867-2023
- Evaluation of the AMSR2 Ice Extent at the Arctic Sea Ice Edge Using an SAR-Based Ice Extent Product Y. Sun et al. 10.1109/TGRS.2023.3281594
- Estimating Sea Ice Concentration From Microwave Radiometric Data for Arctic Summer Conditions Using Machine Learning X. Li & C. Xiong 10.1109/TGRS.2024.3382756
- Evaluation of a New Merged Sea-Ice Concentration Dataset at 1 km Resolution from Thermal Infrared and Passive Microwave Satellite Data in the Arctic V. Ludwig et al. 10.3390/rs12193183
- Estimation of Sea Ice Concentration in the Arctic Using SARAL/AltiKa Data C. Thombson et al. 10.1109/TGRS.2023.3328786
- The sea ice component of GC5: coupling SI3 to HadGEM3 using conductive fluxes E. Blockley et al. 10.5194/gmd-17-6799-2024
- Influence of Melt Ponds on the SSMIS-Based Summer Sea Ice Concentrations in the Arctic J. Zhao et al. 10.3390/rs13193882
- A deep learning approach to retrieve cold-season snow depth over Arctic sea ice from AMSR2 measurements H. Li et al. 10.1016/j.rse.2021.112840
- The 32-year record-high surface melt in 2019/2020 on the northern George VI Ice Shelf, Antarctic Peninsula A. Banwell et al. 10.5194/tc-15-909-2021
- Evaluation of Sea Ice Concentration Data Using Dual-Polarized Ratio Algorithm in Comparison With Other Satellite Passive Microwave Sea Ice Concentration Data Sets and Ship-Based Visual Observations F. Zong et al. 10.3389/fenvs.2022.856289
- Winter Ice Dynamics in a Semi-Closed Ice-Covered Sea: Numerical Simulations and Satellite Data I. Chernov et al. 10.3390/fluids7100324
- Evaluation of Summertime Passive Microwave and Reanalysis Sea‐Ice Concentration in the Central Arctic K. Song & P. Minnett 10.1029/2023EA003214
- Coastal Sea Ice Concentration Derived from Marine Radar Images: A Case Study from Utqiaġvik, Alaska F. St-Denis et al. 10.3390/rs16183357
- Seasonal Trends in Clouds and Radiation over the Arctic Seas from Satellite Observations during 1982 to 2019 X. Wang et al. 10.3390/rs13163201
- Potential of Melt Pond Fraction Retrieval From High Spatial Resolution AMSR-E/2 Channels Y. Tanaka & R. Scharien 10.1109/LGRS.2020.3038888
- Improved representation of Arctic sea ice velocity field in ocean–sea ice models based on satellite observations T. Toyoda et al. 10.1007/s00382-021-05843-4
- A New Sea Ice Concentration Retrieval Algorithm Based on Relationship Between AMSR2 89-GHz Polarization and Landsat 8 Observations Y. Tanaka & J. Lu 10.1109/TGRS.2023.3257401
- Comparison of Hemispheric and Regional Sea Ice Extent and Area Trends from NOAA and NASA Passive Microwave-Derived Climate Records W. Meier et al. 10.3390/rs14030619
- Inter-Comparison of Satellite-Based Sea Ice Concentration in the Amundsen Sea, Antarctica X. Li & H. He 10.3390/rs15245695
- Predicting Sea Ice Concentration With Uncertainty Quantification Using Passive Microwave and Reanalysis Data: A Case Study in Baffin Bay X. Chen et al. 10.1109/TGRS.2023.3250164
- Passive Microwave Sea Ice Edge Displacement Error over the Eastern Canadian Arctic for the period 2013-2021 A. Soleymani et al. 10.1080/07038992.2023.2205531
- Intercomparison of Long-Term Sea Ice Concentration Remote Sensing Products in the Southern Ocean 佳. 李 10.12677/CCRL.2023.124085
- Summer snow on Arctic sea ice modulated by the Arctic Oscillation M. Webster et al. 10.1038/s41561-024-01525-y
- Pan-Arctic melt pond fraction trend, variability, and contribution to sea ice changes J. Feng et al. 10.1016/j.gloplacha.2022.103932
- Deep Learning of Systematic Sea Ice Model Errors From Data Assimilation Increments W. Gregory et al. 10.1029/2023MS003757
- Environmental drivers of spring primary production in Hudson Bay L. Matthes et al. 10.1525/elementa.2020.00160
- Spatial Correlation Length Scales of Sea-Ice Concentration Errors for High-Concentration Pack Ice S. Kern 10.3390/rs13214421
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- Recent strengthening of snow and ice albedo feedback driven by Antarctic sea-ice loss A. Riihelä et al. 10.1038/s41561-021-00841-x
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- Evidence of phytoplankton blooms under Antarctic sea ice C. Horvat et al. 10.3389/fmars.2022.942799
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Latest update: 04 Nov 2024
Short summary
Arctic sea-ice concentration (SIC) estimates based on satellite passive microwave observations are highly inaccurate during summer melt. We compare 10 different SIC products with independent satellite data of true SIC and melt pond fraction (MPF). All products disagree with the true SIC. Regional and inter-product differences can be large and depend on the MPF. An inadequate treatment of melting snow and melt ponds in the products’ algorithms appears to be the main explanation for our findings.
Arctic sea-ice concentration (SIC) estimates based on satellite passive microwave observations...
