Articles | Volume 19, issue 9
https://doi.org/10.5194/hess-19-3727-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-3727-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Sep 2015
Research article |
| 01 Sep 2015
Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model
A. Gallice
CORRESPONDING AUTHOR
School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
B. Schaefli
School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
M. Lehning
School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
SLF, WSL Institute for Snow and Avalanche Research, 7260 Davos, Switzerland
M. B. Parlange
School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Faculty of Applied Sciences, University of British Columbia, Vancouver, Canada
H. Huwald
School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
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Cited
40 citations as recorded by crossref.
- Thermal Regimes of Perennial Rivers and Streams in the Western United States D. Isaak et al. 10.1111/1752-1688.12864
- Long-term patterns and changes of unglaciated High Arctic stream thermal regime M. Majerska et al. 10.1016/j.scitotenv.2024.171298
- SESTET: A spatially explicit stream temperature model based on equilibrium temperature L. Carraro et al. 10.1002/hyp.13591
- Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams Z. Johnson et al. 10.1002/2017WR020455
- Widespread deoxygenation in warming rivers W. Zhi et al. 10.1038/s41558-023-01793-3
- Snow hydrology signatures for model identification within a limits‐of‐acceptability approach B. Schaefli 10.1002/hyp.10972
- StreamFlow 1.0: an extension to the spatially distributed snow model Alpine3D for hydrological modelling and deterministic stream temperature prediction A. Gallice et al. 10.5194/gmd-9-4491-2016
- Principal components of thermal regimes in mountain river networks D. Isaak et al. 10.5194/hess-22-6225-2018
- Modeling continental US stream water quality using long-short term memory and weighted regressions on time, discharge, and season K. Fang et al. 10.3389/frwa.2024.1456647
- Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems J. Hunter et al. 10.5194/hess-22-2987-2018
- Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models S. Zhu et al. 10.1007/s11356-018-3650-2
- Machine Learning Models for Prediction of Shade-Affected Stream Temperatures E. Noa-Yarasca et al. 10.1061/JHYEFF.HEENG-6227
- River temperature research and practice: Recent challenges and emerging opportunities for managing thermal habitat conditions in stream ecosystems V. Ouellet et al. 10.1016/j.scitotenv.2020.139679
- The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd‐Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams D. Isaak et al. 10.1002/2017WR020969
- Future water temperature of rivers in Switzerland under climate change investigated with physics-based models A. Michel et al. 10.5194/hess-26-1063-2022
- Extreme learning machine-based prediction of daily water temperature for rivers S. Zhu et al. 10.1007/s12665-019-8202-7
- Stream thermalscape scenarios for British Columbia, Canada J. Weller et al. 10.1080/07011784.2023.2267028
- Regional thermal analysis approach: A management tool for predicting water temperature metrics relevant for thermal fish habitat O. Abidi et al. 10.1016/j.ecoinf.2022.101692
- River water temperature quantiles as thermal stress indicators: Case study in Switzerland Z. Souaissi et al. 10.1016/j.ecolind.2021.108234
- Hydrodynamics of a high Alpine catchment characterized by four natural tracers A. Michelon et al. 10.5194/hess-27-1403-2023
- Prediction of river water temperature using machine learning algorithms: a tropical river system of India M. Rajesh & S. Rehana 10.2166/hydro.2021.121
- Stream Temperature Predictions for River Basin Management in the Pacific Northwest and Mid-Atlantic Regions Using Machine Learning H. Weierbach et al. 10.3390/w14071032
- Paired air-water annual temperature patterns reveal hydrogeological controls on stream thermal regimes at watershed to continental scales Z. Johnson et al. 10.1016/j.jhydrol.2020.124929
- Spatial statistical network models for stream and river temperature in New England, USA N. Detenbeck et al. 10.1002/2015WR018349
- Air temperature data source affects inference from statistical stream temperature models in mountainous terrain D. Isaak et al. 10.1016/j.hydroa.2024.100172
- A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change F. Jackson et al. 10.1016/j.scitotenv.2017.09.010
- Heed the data gap: Guidelines for using incomplete datasets in annual stream temperature analyses Z. Johnson et al. 10.1016/j.ecolind.2020.107229
- Modeling river water temperature with limiting forcing data: Air2stream v1.0.0, machine learning and multiple regression M. Almeida & P. Coelho 10.5194/gmd-16-4083-2023
- Detecting Patterns of Changes in River Water Temperature in Poland R. Graf & D. Wrzesiński 10.3390/w12051327
- Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins F. Rahmani et al. 10.1002/hyp.14400
- Prediction of river water temperature: a comparison between a new family of hybrid models and statistical approaches S. Piccolroaz et al. 10.1002/hyp.10913
- Performance of the air2stream model that relates air and stream water temperatures depends on the calibration method A. Piotrowski & J. Napiorkowski 10.1016/j.jhydrol.2018.04.016
- Elevation-dependent warming of streams in mountainous regions: implications for temperature modeling and headwater climate refugia D. Isaak & C. Luce 10.1080/07011784.2023.2176788
- Regional estimation of river water temperature at ungauged locations T. Ouarda et al. 10.1016/j.hydroa.2022.100133
- A multifaceted analysis of the relationship between daily temperature of river water and air R. Graf 10.1007/s11600-019-00285-3
- Cold-water habitats, climate refugia, and their utility for conserving salmonid fishes D. Isaak & M. Young 10.1139/cjfas-2022-0302
- Distribution Properties of a Measurement Series of River Water Temperature at Different Time Resolution Levels (Based on the Example of the Lowland River Noteć, Poland) R. Graf 10.3390/w10020203
- A hybrid model for river water temperature as a function of air temperature and discharge M. Toffolon & S. Piccolroaz 10.1088/1748-9326/10/11/114011
- Temporal and spatial patterns of the river flow and water temperature relations in Poland D. Wrzesiński & R. Graf 10.2478/johh-2021-0033
- Development of spatial regression models for predicting summer river temperatures from landscape characteristics: Implications for land and fisheries management F. Jackson et al. 10.1002/hyp.11087
37 citations as recorded by crossref.
- Thermal Regimes of Perennial Rivers and Streams in the Western United States D. Isaak et al. 10.1111/1752-1688.12864
- Long-term patterns and changes of unglaciated High Arctic stream thermal regime M. Majerska et al. 10.1016/j.scitotenv.2024.171298
- SESTET: A spatially explicit stream temperature model based on equilibrium temperature L. Carraro et al. 10.1002/hyp.13591
- Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams Z. Johnson et al. 10.1002/2017WR020455
- Widespread deoxygenation in warming rivers W. Zhi et al. 10.1038/s41558-023-01793-3
- Snow hydrology signatures for model identification within a limits‐of‐acceptability approach B. Schaefli 10.1002/hyp.10972
- StreamFlow 1.0: an extension to the spatially distributed snow model Alpine3D for hydrological modelling and deterministic stream temperature prediction A. Gallice et al. 10.5194/gmd-9-4491-2016
- Principal components of thermal regimes in mountain river networks D. Isaak et al. 10.5194/hess-22-6225-2018
- Modeling continental US stream water quality using long-short term memory and weighted regressions on time, discharge, and season K. Fang et al. 10.3389/frwa.2024.1456647
- Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems J. Hunter et al. 10.5194/hess-22-2987-2018
- Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models S. Zhu et al. 10.1007/s11356-018-3650-2
- Machine Learning Models for Prediction of Shade-Affected Stream Temperatures E. Noa-Yarasca et al. 10.1061/JHYEFF.HEENG-6227
- River temperature research and practice: Recent challenges and emerging opportunities for managing thermal habitat conditions in stream ecosystems V. Ouellet et al. 10.1016/j.scitotenv.2020.139679
- The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd‐Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams D. Isaak et al. 10.1002/2017WR020969
- Future water temperature of rivers in Switzerland under climate change investigated with physics-based models A. Michel et al. 10.5194/hess-26-1063-2022
- Extreme learning machine-based prediction of daily water temperature for rivers S. Zhu et al. 10.1007/s12665-019-8202-7
- Stream thermalscape scenarios for British Columbia, Canada J. Weller et al. 10.1080/07011784.2023.2267028
- Regional thermal analysis approach: A management tool for predicting water temperature metrics relevant for thermal fish habitat O. Abidi et al. 10.1016/j.ecoinf.2022.101692
- River water temperature quantiles as thermal stress indicators: Case study in Switzerland Z. Souaissi et al. 10.1016/j.ecolind.2021.108234
- Hydrodynamics of a high Alpine catchment characterized by four natural tracers A. Michelon et al. 10.5194/hess-27-1403-2023
- Prediction of river water temperature using machine learning algorithms: a tropical river system of India M. Rajesh & S. Rehana 10.2166/hydro.2021.121
- Stream Temperature Predictions for River Basin Management in the Pacific Northwest and Mid-Atlantic Regions Using Machine Learning H. Weierbach et al. 10.3390/w14071032
- Paired air-water annual temperature patterns reveal hydrogeological controls on stream thermal regimes at watershed to continental scales Z. Johnson et al. 10.1016/j.jhydrol.2020.124929
- Spatial statistical network models for stream and river temperature in New England, USA N. Detenbeck et al. 10.1002/2015WR018349
- Air temperature data source affects inference from statistical stream temperature models in mountainous terrain D. Isaak et al. 10.1016/j.hydroa.2024.100172
- A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change F. Jackson et al. 10.1016/j.scitotenv.2017.09.010
- Heed the data gap: Guidelines for using incomplete datasets in annual stream temperature analyses Z. Johnson et al. 10.1016/j.ecolind.2020.107229
- Modeling river water temperature with limiting forcing data: Air2stream v1.0.0, machine learning and multiple regression M. Almeida & P. Coelho 10.5194/gmd-16-4083-2023
- Detecting Patterns of Changes in River Water Temperature in Poland R. Graf & D. Wrzesiński 10.3390/w12051327
- Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins F. Rahmani et al. 10.1002/hyp.14400
- Prediction of river water temperature: a comparison between a new family of hybrid models and statistical approaches S. Piccolroaz et al. 10.1002/hyp.10913
- Performance of the air2stream model that relates air and stream water temperatures depends on the calibration method A. Piotrowski & J. Napiorkowski 10.1016/j.jhydrol.2018.04.016
- Elevation-dependent warming of streams in mountainous regions: implications for temperature modeling and headwater climate refugia D. Isaak & C. Luce 10.1080/07011784.2023.2176788
- Regional estimation of river water temperature at ungauged locations T. Ouarda et al. 10.1016/j.hydroa.2022.100133
- A multifaceted analysis of the relationship between daily temperature of river water and air R. Graf 10.1007/s11600-019-00285-3
- Cold-water habitats, climate refugia, and their utility for conserving salmonid fishes D. Isaak & M. Young 10.1139/cjfas-2022-0302
- Distribution Properties of a Measurement Series of River Water Temperature at Different Time Resolution Levels (Based on the Example of the Lowland River Noteć, Poland) R. Graf 10.3390/w10020203
3 citations as recorded by crossref.
- A hybrid model for river water temperature as a function of air temperature and discharge M. Toffolon & S. Piccolroaz 10.1088/1748-9326/10/11/114011
- Temporal and spatial patterns of the river flow and water temperature relations in Poland D. Wrzesiński & R. Graf 10.2478/johh-2021-0033
- Development of spatial regression models for predicting summer river temperatures from landscape characteristics: Implications for land and fisheries management F. Jackson et al. 10.1002/hyp.11087
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Short summary
This study presents a new model to estimate the monthly mean stream temperature of ungauged rivers over multiple years in an Alpine country. Contrary to the other approaches developed to date, which are usually based on standard regression techniques, our model makes use of the understanding that we have about the physics controlling stream temperature. On top of its accuracy being comparable to that of the other models, it can be used to gain some knowledge about the stream temperature dynamics
This study presents a new model to estimate the monthly mean stream temperature of ungauged...
