Articles | Volume 27, issue 9
https://doi.org/10.5194/hess-27-1755-2023
© 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/hess-27-1755-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 May 2023
Research article |
| 04 May 2023
| 04 May 2023
Hydrologic implications of projected changes in rain-on-snow melt for Great Lakes Basin watersheds
Department of Geography, Indiana University, Bloomington, Indiana
47405, USA
Darren L. Ficklin
Department of Geography, Indiana University, Bloomington, Indiana
47405, USA
Scott M. Robeson
Department of Geography, Indiana University, Bloomington, Indiana
47405, USA
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Cited
18 citations as recorded by crossref.
- Simulations reveal variability in exposure to drier conditions during timing of budbreak for tree species of the mixedwood forests of Québec, Canada B. Marquis https://doi.org/10.48130/forres-0024-0023
- Long-term hydroclimate trends in the Great Lakes basin: Are there hotspots of regional change? S. Shin et al. https://doi.org/10.1016/j.ejrh.2025.102347
- An improved SWAT snowmelt model and its application in non-stationary spring flood frequency analysis in alpine regions: a case study of the upper Jinsha River basin Y. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133808
- Understanding the formation mechanism of rainfall and snowmelt jointly induced Bicharh Nallah debris flow, North Pakistan M. Khan et al. https://doi.org/10.1007/s12665-024-12054-7
- Projected changes in rain-on-snow events and their impacts on summer low streamflow in the Great lakes basin Y. Aryal et al. https://doi.org/10.1016/j.envsoft.2025.106612
- Assessing Climate and Watershed Controls on Rain-on-Snow Runoff Using XGBoost-SHAP Explainable AI (XAI) Y. Aryal https://doi.org/10.3390/geosciences15120467
- Daily Snow-Water-Equivalent Trends over the Great Lakes Basin: A Computer Vision and Deep Learning-Based Approach K. Malik et al. https://doi.org/10.3390/cli14050095
- Quantifying the Impact of Rain-on-Snow Induced Flooding in the Western United States B. Bean & E. Watts https://doi.org/10.3390/w16192826
- Rain-on-snow climatology and its impact on flood risk in snow-dominated regions of Türkiye S. Yeşilköy & Ö. Baydaroğlu https://doi.org/10.1007/s00704-025-05463-6
- Global patterns of rain-on-snow and its impacts on runoff from past to future projections F. Maina & S. Kumar https://doi.org/10.1038/s41467-025-59855-3
- Sandy soils in the forests of northern Michigan (USA) as methane sinks: Impacts of tree species composition and winter snowpacks C. Kasmerchak et al. https://doi.org/10.1016/j.foreco.2025.122527
- Climate-induced hydrological changes and agricultural implications in the Laurentian Great Lakes region H. Dang et al. https://doi.org/10.1016/j.scitotenv.2026.181355
- Rain-on-snow events in mountainous catchments under climate change O. Hotovy et al. https://doi.org/10.5194/hess-29-4199-2025
- Assessing climate change's impacts on hydrology using the SWAT model: a literature review W. El Harraki & M. Zemzami https://doi.org/10.2166/wcc.2025.665
- Spatiotemporal variability of runoff events in response to rainfall, snowmelt, and rain-on-snow in the Lake Erie Basin G. Ali et al. https://doi.org/10.1016/j.ejrh.2024.101774
- Ice Ice Maybe: Stream Hydrology and Hydraulic Processes During a Mild Winter in a Semi-Alluvial Channel C. Giovino et al. https://doi.org/10.3390/w17131878
- Assessment of River Flow Due To Anticipated Climate and Land Use Changes in the Western Ghats, India T. Sharannya et al. https://doi.org/10.1007/s41748-026-01058-x
- FLO-SR: Deep learning-based urban flood super-resolution model H. Choi et al. https://doi.org/10.1016/j.jhydrol.2025.133529
18 citations as recorded by crossref.
- Simulations reveal variability in exposure to drier conditions during timing of budbreak for tree species of the mixedwood forests of Québec, Canada B. Marquis https://doi.org/10.48130/forres-0024-0023
- Long-term hydroclimate trends in the Great Lakes basin: Are there hotspots of regional change? S. Shin et al. https://doi.org/10.1016/j.ejrh.2025.102347
- An improved SWAT snowmelt model and its application in non-stationary spring flood frequency analysis in alpine regions: a case study of the upper Jinsha River basin Y. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133808
- Understanding the formation mechanism of rainfall and snowmelt jointly induced Bicharh Nallah debris flow, North Pakistan M. Khan et al. https://doi.org/10.1007/s12665-024-12054-7
- Projected changes in rain-on-snow events and their impacts on summer low streamflow in the Great lakes basin Y. Aryal et al. https://doi.org/10.1016/j.envsoft.2025.106612
- Assessing Climate and Watershed Controls on Rain-on-Snow Runoff Using XGBoost-SHAP Explainable AI (XAI) Y. Aryal https://doi.org/10.3390/geosciences15120467
- Daily Snow-Water-Equivalent Trends over the Great Lakes Basin: A Computer Vision and Deep Learning-Based Approach K. Malik et al. https://doi.org/10.3390/cli14050095
- Quantifying the Impact of Rain-on-Snow Induced Flooding in the Western United States B. Bean & E. Watts https://doi.org/10.3390/w16192826
- Rain-on-snow climatology and its impact on flood risk in snow-dominated regions of Türkiye S. Yeşilköy & Ö. Baydaroğlu https://doi.org/10.1007/s00704-025-05463-6
- Global patterns of rain-on-snow and its impacts on runoff from past to future projections F. Maina & S. Kumar https://doi.org/10.1038/s41467-025-59855-3
- Sandy soils in the forests of northern Michigan (USA) as methane sinks: Impacts of tree species composition and winter snowpacks C. Kasmerchak et al. https://doi.org/10.1016/j.foreco.2025.122527
- Climate-induced hydrological changes and agricultural implications in the Laurentian Great Lakes region H. Dang et al. https://doi.org/10.1016/j.scitotenv.2026.181355
- Rain-on-snow events in mountainous catchments under climate change O. Hotovy et al. https://doi.org/10.5194/hess-29-4199-2025
- Assessing climate change's impacts on hydrology using the SWAT model: a literature review W. El Harraki & M. Zemzami https://doi.org/10.2166/wcc.2025.665
- Spatiotemporal variability of runoff events in response to rainfall, snowmelt, and rain-on-snow in the Lake Erie Basin G. Ali et al. https://doi.org/10.1016/j.ejrh.2024.101774
- Ice Ice Maybe: Stream Hydrology and Hydraulic Processes During a Mild Winter in a Semi-Alluvial Channel C. Giovino et al. https://doi.org/10.3390/w17131878
- Assessment of River Flow Due To Anticipated Climate and Land Use Changes in the Western Ghats, India T. Sharannya et al. https://doi.org/10.1007/s41748-026-01058-x
- FLO-SR: Deep learning-based urban flood super-resolution model H. Choi et al. https://doi.org/10.1016/j.jhydrol.2025.133529
Saved (final revised paper)
Latest update: 13 Jun 2026
Short summary
We projected climate change impacts to rain-on-snow (ROS) melt events in the Great Lakes Basin. Decreases in snowpack limit future ROS melt. Areas with mean winter/spring air temperatures near freezing are most sensitive to ROS changes. The projected proportion of total monthly snowmelt from ROS decreases. The timing for ROS melt is projected to be 2 weeks earlier by the mid-21st century and affects spring streamflow. This could affect freshwater resources management.
We projected climate change impacts to rain-on-snow (ROS) melt events in the Great Lakes Basin....
