38 citations as recorded by crossref.

1. Thermal Regimes of Perennial Rivers and Streams in the Western United States D. Isaak et al. 10.1111/1752-1688.12864
2. Long-term patterns and changes of unglaciated High Arctic stream thermal regime M. Majerska et al. 10.1016/j.scitotenv.2024.171298
3. SESTET: A spatially explicit stream temperature model based on equilibrium temperature L. Carraro et al. 10.1002/hyp.13591
4. Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams Z. Johnson et al. 10.1002/2017WR020455
5. Widespread deoxygenation in warming rivers W. Zhi et al. 10.1038/s41558-023-01793-3
6. Snow hydrology signatures for model identification within a limits‐of‐acceptability approach B. Schaefli 10.1002/hyp.10972
7. 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
8. Principal components of thermal regimes in mountain river networks D. Isaak et al. 10.5194/hess-22-6225-2018
9. 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
10. 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
11. 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
12. 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
13. 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
14. Extreme learning machine-based prediction of daily water temperature for rivers S. Zhu et al. 10.1007/s12665-019-8202-7
15. Stream thermalscape scenarios for British Columbia, Canada J. Weller et al. 10.1080/07011784.2023.2267028
16. 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
17. River water temperature quantiles as thermal stress indicators: Case study in Switzerland Z. Souaissi et al. 10.1016/j.ecolind.2021.108234
18. Hydrodynamics of a high Alpine catchment characterized by four natural tracers A. Michelon et al. 10.5194/hess-27-1403-2023
19. Prediction of river water temperature using machine learning algorithms: a tropical river system of India M. Rajesh & S. Rehana 10.2166/hydro.2021.121
20. 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
21. 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
22. Spatial statistical network models for stream and river temperature in New England, USA N. Detenbeck et al. 10.1002/2015WR018349
23. Air temperature data source affects inference from statistical stream temperature models in mountainous terrain D. Isaak et al. 10.1016/j.hydroa.2024.100172
24. 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
25. Heed the data gap: Guidelines for using incomplete datasets in annual stream temperature analyses Z. Johnson et al. 10.1016/j.ecolind.2020.107229
26. 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
27. Detecting Patterns of Changes in River Water Temperature in Poland R. Graf & D. Wrzesiński 10.3390/w12051327
28. 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
29. 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
30. 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
31. 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
32. Regional estimation of river water temperature at ungauged locations T. Ouarda et al. 10.1016/j.hydroa.2022.100133
33. A multifaceted analysis of the relationship between daily temperature of river water and air R. Graf 10.1007/s11600-019-00285-3
34. Cold-water habitats, climate refugia, and their utility for conserving salmonid fishes D. Isaak & M. Young 10.1139/cjfas-2022-0302
35. 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
36. 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
37. Temporal and spatial patterns of the river flow and water temperature relations in Poland D. Wrzesiński & R. Graf 10.2478/johh-2021-0033
38. 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