Articles | Volume 28, issue 7
https://doi.org/10.5194/hess-28-1653-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-1653-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Increasing seasonal variation in the extent of rivers and lakes from 1984 to 2022
Department of Earth Sciences, University of Bergen, Allegaten 41, 5020, Bergen, Norway
Bjerknes Centre for Climate Research, Allegaten 70, 5020, Bergen, Norway
7Analytics, Innovation District Solheimsviken 7c, 5054, Bergen, Norway
Roger Sayre
U.S. Geological Survey, 516 National Center, Reston, VA 20192, USA
Elco Luijendijk
Department of Earth Sciences, University of Bergen, Allegaten 41, 5020, Bergen, Norway
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Cited
16 citations as recorded by crossref.
- Land cover classification for Siberia leveraging diverse global land cover datasets M. Beak et al. https://doi.org/10.1186/s40645-024-00672-5
- Global dominance of seasonality in shaping lake-surface-extent dynamics L. Li et al. https://doi.org/10.1038/s41586-025-09046-3
- Remote sensing and the new global river science D. Feng et al. https://doi.org/10.1038/s44221-026-00665-2
- Assessing the spatiotemporal dynamics of seasonal and perennial surface water resources across Lesotho’s agroecological zones K. Singh et al. https://doi.org/10.1016/j.jag.2025.104688
- Assessing half a century of asymmetric geomorphological change in the Sino-Vietnamese International Boundary River: challenges and pathways for sustainable management G. Gu et al. https://doi.org/10.1057/s41599-026-06599-0
- Simulation and prediction of lake water storage response to climate change in a high-cold arid region: The case of typical lakes on the northern slope of the Kunlun Mountains Y. Liu et al. https://doi.org/10.1016/j.ejrh.2026.103466
- Exploring the Annual Dynamics of China’s Rivers From 2016 to 2023 Based on Sentinel-Derived Datasets K. Peng et al. https://doi.org/10.1109/JSTARS.2025.3584770
- Quantifying land-energy interactions of hydropower in the Western United States E. Sperring et al. https://doi.org/10.1016/j.rser.2025.116096
- Unraveling the effects of wet and dry areas on carbon emissions in an intermittent Mediterranean stream A. Camacho‐Santamans et al. https://doi.org/10.1002/lno.70348
- Floodplain slope organizes chute and neck meander cutoffs across rivers in the Amazon basin Y. Li et al. https://doi.org/10.1126/sciadv.aef6658
- A machine learning framework to assess global mangrove forestation potential under current and future climate scenarios G. Li et al. https://doi.org/10.1016/j.envres.2026.123923
- Enabling multi-decadal braided river monitoring through FloodMamba-Net and task-equivalent Landsat-to-Sentinel-2 data synthesis X. Song et al. https://doi.org/10.1016/j.jhydrol.2025.134737
- A Novel Metric for Quantifying Precipitation-Driven Variability in Global Terrestrial Water Storage Y. Zhong et al. https://doi.org/10.1109/TGRS.2026.3650800
- Decoding Biodiversity in Baiyangdian Lake: A DNA Barcode Reference Library for Aquatic Insects Y. Qiao et al. https://doi.org/10.3390/insects17010060
- Vector dataset of rivers, lakes/reservoirs and their spatial connectivity in High Mountain Asia Z. Wang et al. https://doi.org/10.1080/20964471.2026.2688654
- Global alluvial channel patterns Q. Luo et al. https://doi.org/10.1038/s41467-026-68569-z
16 citations as recorded by crossref.
- Land cover classification for Siberia leveraging diverse global land cover datasets M. Beak et al. https://doi.org/10.1186/s40645-024-00672-5
- Global dominance of seasonality in shaping lake-surface-extent dynamics L. Li et al. https://doi.org/10.1038/s41586-025-09046-3
- Remote sensing and the new global river science D. Feng et al. https://doi.org/10.1038/s44221-026-00665-2
- Assessing the spatiotemporal dynamics of seasonal and perennial surface water resources across Lesotho’s agroecological zones K. Singh et al. https://doi.org/10.1016/j.jag.2025.104688
- Assessing half a century of asymmetric geomorphological change in the Sino-Vietnamese International Boundary River: challenges and pathways for sustainable management G. Gu et al. https://doi.org/10.1057/s41599-026-06599-0
- Simulation and prediction of lake water storage response to climate change in a high-cold arid region: The case of typical lakes on the northern slope of the Kunlun Mountains Y. Liu et al. https://doi.org/10.1016/j.ejrh.2026.103466
- Exploring the Annual Dynamics of China’s Rivers From 2016 to 2023 Based on Sentinel-Derived Datasets K. Peng et al. https://doi.org/10.1109/JSTARS.2025.3584770
- Quantifying land-energy interactions of hydropower in the Western United States E. Sperring et al. https://doi.org/10.1016/j.rser.2025.116096
- Unraveling the effects of wet and dry areas on carbon emissions in an intermittent Mediterranean stream A. Camacho‐Santamans et al. https://doi.org/10.1002/lno.70348
- Floodplain slope organizes chute and neck meander cutoffs across rivers in the Amazon basin Y. Li et al. https://doi.org/10.1126/sciadv.aef6658
- A machine learning framework to assess global mangrove forestation potential under current and future climate scenarios G. Li et al. https://doi.org/10.1016/j.envres.2026.123923
- Enabling multi-decadal braided river monitoring through FloodMamba-Net and task-equivalent Landsat-to-Sentinel-2 data synthesis X. Song et al. https://doi.org/10.1016/j.jhydrol.2025.134737
- A Novel Metric for Quantifying Precipitation-Driven Variability in Global Terrestrial Water Storage Y. Zhong et al. https://doi.org/10.1109/TGRS.2026.3650800
- Decoding Biodiversity in Baiyangdian Lake: A DNA Barcode Reference Library for Aquatic Insects Y. Qiao et al. https://doi.org/10.3390/insects17010060
- Vector dataset of rivers, lakes/reservoirs and their spatial connectivity in High Mountain Asia Z. Wang et al. https://doi.org/10.1080/20964471.2026.2688654
- Global alluvial channel patterns Q. Luo et al. https://doi.org/10.1038/s41467-026-68569-z
Saved (final revised paper)
Latest update: 08 Aug 2026
Short summary
Understanding the spatial and temporal distribution of surface water is crucial for effective water resource management, maintaining ecosystem health and assessing flood risks. This study examined permanent and seasonal rivers and lakes globally over 38 years, uncovering a statistically significant expansion in seasonal extent captured in the new SARL database. The findings offer valuable resources for assessing the impact of changing river and lake extents on ecosystems and human livelihoods.
Understanding the spatial and temporal distribution of surface water is crucial for effective...