Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3483-2023
© Author(s) 2023. 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-15-3483-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
08 Aug 2023
Data description article |
| 08 Aug 2023
| 08 Aug 2023
Lake-TopoCat: a global lake drainage topology and catchment database
Department of Geography and Geospatial Sciences, Kansas State University, Manhattan, KS, USA
Department of Geography and Geographic Information Science, University of Illinois Urbana-Champaign, Urbana, IL, USA
Department of Geography and Geospatial Sciences, Kansas State University, Manhattan, KS, USA
George H. Allen
Department of Geosciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
Yongwei Sheng
Department of Geography, University of California, Los Angeles, CA, USA
Dai Yamazaki
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
Chunqiao Song
Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
University of Chinese Academy of Sciences, Nanjing (UCASNJ), Nanjing, China
Meng Ding
Department of Geography and Geospatial Sciences, Kansas State University, Manhattan, KS, USA
Jean-François Crétaux
Laboratoire d'Études en Géophysique et Océanographie Spatiales (LEGOS), Centre National d'Études Spatiales (CNES), Toulouse, France
Tamlin M. Pavelsky
Department of Earth, Marine and Environmental Sciences, University of North Carolina, Chapel Hill, NC, USA
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- Threats and Conservation of Lakes in Ethiopia: A Literature Review A. Ante et al. https://doi.org/10.1021/acsestwater.4c01165
- A remote sensing approach for characterizing lake responses to heatwaves and monsoons: a case study from India R. Caroni et al. https://doi.org/10.2166/wcc.2025.097
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- Understanding the hydrological and landscape connectivity of lakes P. Taylor et al. https://doi.org/10.1007/s10980-025-02153-6
- A Mamba-type of deep state space model for reservoir release simulation with a large-scale verification over 441 dams across CONUS J. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134145
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- RiverLakeBasins: a global dataset of nested river-watersheds and lake-hillslopes J. Liu et al. https://doi.org/10.1080/13658816.2026.2620024
- Dissolved greenhouse gas (CO2, CH4, and N2O) emissions from highland lakes of the Andes cordillera in Northern Ecuador G. Chiriboga et al. https://doi.org/10.1007/s00027-023-01039-6
- Water Renewal Time in Lakes with Transformed Water Distribution in the Catchment Areas J. Dawidek & B. Ferencz https://doi.org/10.3390/w16030384
- Effect of land use land cover change on stream flow in Azuari watershed of the Upper Blue Nile Basin, Ethiopia M. Bitew & H. Kebede https://doi.org/10.1007/s40899-024-01084-5
- The Influence of Land Use and Land Cover Transitions on Hydrology in a Tropical River Basin of Southwest India G. Kumar et al. https://doi.org/10.1007/s41101-024-00301-8
- The importance of source data in river network connectivity modeling: A review C. Brinkerhoff https://doi.org/10.1002/lno.12706
- Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms S. Janizadeh et al. https://doi.org/10.1016/j.jenvman.2024.121764
- Işıklı Gölü’nün (Denizli-Çivril) Yıllık ve Aylık Göl Yüzey Alanı ve Su Rengi Değişim Analizleri M. Uzun https://doi.org/10.17295/ataunidcd.1548841
- Enhanced understanding of hydrological connectivity among lakes on the Qiangtang Plateau Y. Li et al. https://doi.org/10.1080/17538947.2025.2450845
- Spatiotemporal dynamics of non-floodplain ponded waterbodies in the upper Yangtze River Basin, China: A hydrological connectivity perspective H. Zhang et al. https://doi.org/10.1016/j.apgeog.2025.103796
- Global Lake Color Phenology Changes Since the 1980s Based on Landsat Images C. Wang et al. https://doi.org/10.3390/su18104732
- Advancing global river hydrodynamics simulations by catchment-based macro-scale floodplain modeling approach D. Yamazaki https://doi.org/10.1186/s40562-025-00452-z
- China’s freshwater lake storage hotspots revealed by bathymetry and typology mapping C. Song et al. https://doi.org/10.1093/nsr/nwag245
- A global dataset of the shape of drainage systems C. He et al. https://doi.org/10.5194/essd-16-1151-2024
- Global Drivers of Algal Bloom Occurrence: The Role of Climate, Hydrology, and Morphometry K. Ding & B. Qin https://doi.org/10.3390/w16243624
27 citations as recorded by crossref.
- A unified ecological flow indicator reveals long-term regime shifts and connectivity changes in a regulated river–lake system W. Luo et al. https://doi.org/10.1016/j.ecolind.2026.114839
- A climatological baseline for understanding patterns of seasonal lake dynamics across sub-Sahelian Africa M. Amadori et al. https://doi.org/10.1038/s43247-025-02684-5
- Threats and Conservation of Lakes in Ethiopia: A Literature Review A. Ante et al. https://doi.org/10.1021/acsestwater.4c01165
- A remote sensing approach for characterizing lake responses to heatwaves and monsoons: a case study from India R. Caroni et al. https://doi.org/10.2166/wcc.2025.097
- Characterizing operational signatures of reservoirs with the SWOT satellite by comparing natural lake and reservoir dynamics R. Riggs et al. https://doi.org/10.1088/1748-9326/ae436e
- GDROM v2: An Inventory of Operation Variables Time Series and Rules for 2,017 Large Reservoirs across the CONUS Z. Zheng et al. https://doi.org/10.1038/s41597-025-06162-7
- Understanding the hydrological and landscape connectivity of lakes P. Taylor et al. https://doi.org/10.1007/s10980-025-02153-6
- A Mamba-type of deep state space model for reservoir release simulation with a large-scale verification over 441 dams across CONUS J. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134145
- Spatiotemporal variations in global lake clarity and responses to climate and landscape drivers Y. Zhang et al. https://doi.org/10.1016/j.scib.2025.10.045
- Analysis of Manyas Lake Surface Area and Shoreline Change Over Various Periods with DSAS Tool M. Uzun https://doi.org/10.51489/tuzal.1443490
- Uluabat Gölü yüzey alanının zamansal değişim analizi üzerinden DSAS ve yapay sinir ağları modellerine göre gelecek tahminleri M. Uzun https://doi.org/10.17211/tcd.1481187
- Tersakan ve Bolluk Göllerindeki (Konya) Yıllık ve Aylık Su Yüzeyi Değişimlerinin Uydu Görüntüleri İle Analizi M. Uzun https://doi.org/10.51800/ecd.1536680
- RiverLakeBasins: a global dataset of nested river-watersheds and lake-hillslopes J. Liu et al. https://doi.org/10.1080/13658816.2026.2620024
- Dissolved greenhouse gas (CO2, CH4, and N2O) emissions from highland lakes of the Andes cordillera in Northern Ecuador G. Chiriboga et al. https://doi.org/10.1007/s00027-023-01039-6
- Water Renewal Time in Lakes with Transformed Water Distribution in the Catchment Areas J. Dawidek & B. Ferencz https://doi.org/10.3390/w16030384
- Effect of land use land cover change on stream flow in Azuari watershed of the Upper Blue Nile Basin, Ethiopia M. Bitew & H. Kebede https://doi.org/10.1007/s40899-024-01084-5
- The Influence of Land Use and Land Cover Transitions on Hydrology in a Tropical River Basin of Southwest India G. Kumar et al. https://doi.org/10.1007/s41101-024-00301-8
- The importance of source data in river network connectivity modeling: A review C. Brinkerhoff https://doi.org/10.1002/lno.12706
- Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms S. Janizadeh et al. https://doi.org/10.1016/j.jenvman.2024.121764
- Işıklı Gölü’nün (Denizli-Çivril) Yıllık ve Aylık Göl Yüzey Alanı ve Su Rengi Değişim Analizleri M. Uzun https://doi.org/10.17295/ataunidcd.1548841
- Enhanced understanding of hydrological connectivity among lakes on the Qiangtang Plateau Y. Li et al. https://doi.org/10.1080/17538947.2025.2450845
- Spatiotemporal dynamics of non-floodplain ponded waterbodies in the upper Yangtze River Basin, China: A hydrological connectivity perspective H. Zhang et al. https://doi.org/10.1016/j.apgeog.2025.103796
- Global Lake Color Phenology Changes Since the 1980s Based on Landsat Images C. Wang et al. https://doi.org/10.3390/su18104732
- Advancing global river hydrodynamics simulations by catchment-based macro-scale floodplain modeling approach D. Yamazaki https://doi.org/10.1186/s40562-025-00452-z
- China’s freshwater lake storage hotspots revealed by bathymetry and typology mapping C. Song et al. https://doi.org/10.1093/nsr/nwag245
- A global dataset of the shape of drainage systems C. He et al. https://doi.org/10.5194/essd-16-1151-2024
- Global Drivers of Algal Bloom Occurrence: The Role of Climate, Hydrology, and Morphometry K. Ding & B. Qin https://doi.org/10.3390/w16243624
Saved (final revised paper)
Latest update: 30 May 2026
Short summary
We introduce Lake-TopoCat to reveal detailed lake hydrography information. It contains the location of lake outlets, the boundary of lake catchments, and a wide suite of attributes that depict detailed lake drainage relationships. It was constructed using lake boundaries from a global lake dataset, with the help of high-resolution hydrography data. This database may facilitate a variety of applications including water quality, agriculture and fisheries, and integrated lake–river modeling.
We introduce Lake-TopoCat to reveal detailed lake hydrography information. It contains the...
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