Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3329-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-3329-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 41-year (1979–2019) passive-microwave-derived lake ice phenology data record of the Northern Hemisphere
Yu Cai
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, Key Laboratory for Land Satellite Remote Sensing
Applications of Ministry of Natural Resources, School of Geography and Ocean
Science, Nanjing University, Nanjing, China
Claude R. Duguay
Department of Geography and Environmental Management, University of
Waterloo, Ontario, Canada
H2O Geomatics Inc., Waterloo, Ontario, Canada
Chang-Qing Ke
CORRESPONDING AUTHOR
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, Key Laboratory for Land Satellite Remote Sensing
Applications of Ministry of Natural Resources, School of Geography and Ocean
Science, Nanjing University, Nanjing, China
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Cited
16 citations as recorded by crossref.
- Unveiling lake ice phenology in Central Asia under climate change with MODIS data and a two-step classification approach Y. Xu et al. https://doi.org/10.1016/j.rse.2023.113955
- Forward modelling of synthetic aperture radar backscatter from lake ice over Canadian Subarctic Lakes J. Murfitt et al. https://doi.org/10.1016/j.rse.2022.113424
- River freeze-up date anomalies during the sixteenth to nineteenth centuries in southern Northeast China reconstructed from the Korean Envoys Yanxing Book Y. Guo et al. https://doi.org/10.1007/s10584-023-03652-8
- Volume-Mediated Lake-Ice Phenology in Southwest Alaska Revealed through Remote Sensing and Survival Analysis P. Kirchner & M. Hannam https://doi.org/10.3390/w16162309
- Surface water temperature observations and ice phenology estimations for 1.4 million lakes globally M. Korver et al. https://doi.org/10.1016/j.rse.2024.114164
- Seasonal lake ice cover drives the restructuring of bacteria-archaea and bacteria-fungi interdomain ecological networks across diverse habitats M. Zhang et al. https://doi.org/10.1016/j.envres.2025.120907
- Spatiotemporal Dynamics and Drivers of Potential Winter Ice Resources in China (1990–2020) Using Multi-Source Remote Sensing and Machine Learning D. Shi https://doi.org/10.3390/rs18020250
- A Comparison of Model Calculations of Ice Thickness with the Observations on Small Water Bodies in Katowice Upland (Southern Poland) M. Solarski & M. Rzetala https://doi.org/10.3390/w14233886
- The assessment of Groundwater Quality of Confined Aquifer Based on Hydrochemistry in the Alluvial Plain of Semarang City P. Thomas Triadi et al. https://doi.org/10.1051/e3sconf/202344803005
- A Snow Depth Downscaling Algorithm Based on Deep Learning Fusion of Enhanced Passive Microwave and Cloud-Free Optical Remote Sensing Data in China Z. Zhao et al. https://doi.org/10.3390/rs16244756
- Spatiotemporal patterns and regional differences of lake ice phenology across mainland China Y. Kuluwan et al. https://doi.org/10.1007/s10584-026-04245-x
- Rapid acceleration of ice-cover loss from Northern Hemisphere lakes above critical air temperature thresholds J. Zhou et al. https://doi.org/10.1073/pnas.2610752123
- Unraveling key drivers of antibiotic fate and ecological risk in ice-covered lakes through multi-compartment analysis H. Ju et al. https://doi.org/10.1016/j.watres.2025.124888
- Potential of GNSS-R for the Monitoring of Lake Ice Phenology Y. Ghiasi et al. https://doi.org/10.1109/JSTARS.2023.3330745
- Reconstructing ice phenology of a lake with complex surface cover: a case study of Lake Ulansu during 1941–2023 P. Huo et al. https://doi.org/10.5194/tc-19-849-2025
- Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review Q. Ye et al. https://doi.org/10.3390/rs16101709
16 citations as recorded by crossref.
- Unveiling lake ice phenology in Central Asia under climate change with MODIS data and a two-step classification approach Y. Xu et al. https://doi.org/10.1016/j.rse.2023.113955
- Forward modelling of synthetic aperture radar backscatter from lake ice over Canadian Subarctic Lakes J. Murfitt et al. https://doi.org/10.1016/j.rse.2022.113424
- River freeze-up date anomalies during the sixteenth to nineteenth centuries in southern Northeast China reconstructed from the Korean Envoys Yanxing Book Y. Guo et al. https://doi.org/10.1007/s10584-023-03652-8
- Volume-Mediated Lake-Ice Phenology in Southwest Alaska Revealed through Remote Sensing and Survival Analysis P. Kirchner & M. Hannam https://doi.org/10.3390/w16162309
- Surface water temperature observations and ice phenology estimations for 1.4 million lakes globally M. Korver et al. https://doi.org/10.1016/j.rse.2024.114164
- Seasonal lake ice cover drives the restructuring of bacteria-archaea and bacteria-fungi interdomain ecological networks across diverse habitats M. Zhang et al. https://doi.org/10.1016/j.envres.2025.120907
- Spatiotemporal Dynamics and Drivers of Potential Winter Ice Resources in China (1990–2020) Using Multi-Source Remote Sensing and Machine Learning D. Shi https://doi.org/10.3390/rs18020250
- A Comparison of Model Calculations of Ice Thickness with the Observations on Small Water Bodies in Katowice Upland (Southern Poland) M. Solarski & M. Rzetala https://doi.org/10.3390/w14233886
- The assessment of Groundwater Quality of Confined Aquifer Based on Hydrochemistry in the Alluvial Plain of Semarang City P. Thomas Triadi et al. https://doi.org/10.1051/e3sconf/202344803005
- A Snow Depth Downscaling Algorithm Based on Deep Learning Fusion of Enhanced Passive Microwave and Cloud-Free Optical Remote Sensing Data in China Z. Zhao et al. https://doi.org/10.3390/rs16244756
- Spatiotemporal patterns and regional differences of lake ice phenology across mainland China Y. Kuluwan et al. https://doi.org/10.1007/s10584-026-04245-x
- Rapid acceleration of ice-cover loss from Northern Hemisphere lakes above critical air temperature thresholds J. Zhou et al. https://doi.org/10.1073/pnas.2610752123
- Unraveling key drivers of antibiotic fate and ecological risk in ice-covered lakes through multi-compartment analysis H. Ju et al. https://doi.org/10.1016/j.watres.2025.124888
- Potential of GNSS-R for the Monitoring of Lake Ice Phenology Y. Ghiasi et al. https://doi.org/10.1109/JSTARS.2023.3330745
- Reconstructing ice phenology of a lake with complex surface cover: a case study of Lake Ulansu during 1941–2023 P. Huo et al. https://doi.org/10.5194/tc-19-849-2025
- Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review Q. Ye et al. https://doi.org/10.3390/rs16101709
Saved (final revised paper)
Latest update: 04 Aug 2026
Short summary
Seasonal ice cover is one of the important attributes of lakes in middle- and high-latitude regions. This study used passive microwave brightness temperature measurements to extract the ice phenology for 56 lakes across the Northern Hemisphere from 1979 to 2019. A threshold algorithm was applied according to the differences in brightness temperature between lake ice and open water. The dataset will provide valuable information about the changing ice cover of lakes over the last 4 decades.
Seasonal ice cover is one of the important attributes of lakes in middle- and high-latitude...
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