Abstract
Sustained periods of anomalously warm river water temperature, known as riverine heatwaves, can negatively impact river ecosystems and socioeconomic activities. With climate change, these heatwaves are likely to become more severe and frequent. Even though the main drivers of water temperature are well understood, we only have a limited understanding of how the different hydro-climatic processes that drive riverine heatwaves interact. This lack of knowledge is particularly striking given that anticipated increases in the frequency and severity of riverine heatwaves may progressively increase the vulnerability of ecological and anthropogenic systems. To better understand how riverine heatwaves may evolve in a changing climate, we propose focused research efforts to develop large-sample datasets, enhance our understanding of the processes involved in riverine heatwave development, and improve water temperature models. Such efforts require a strong community and will support mitigation and adaptation measures in relation to these increasingly frequent extreme events.
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References
Tassone, S. J. Increasing heatwave frequency in streams and rivers of the United States. Limnol. Oceanogr. Lett. 8, 295–304 (2022).
Läubli, M. Folgen des Hitzesommers—Flüsse und Bäche bleiben warm, Fischsterben werden sich häufen. Tages-Anzeiger (22 September 2022).
Fischsterben wegen Trockenheit—Schonzeit im Sommer? So will der Kanton Bern die Fischerei retten. Schweizer Radio und Fernsehen (SRF) (27 August 2022).
Golden, H. Video shows salmon injured by unlivable water temperatures after heatwave. The Guardian (27 July 2021).
Biela, V. R. Premature mortality observations among Alaska’s Pacific Salmon during record heat and drought in 2019. Fisheries 47, 157–168 (2022).
Kuroda, M., Kuroki, M., Kurokawa, D., Takeda, K. & Morita, K. A heatwave-related mortality event of endangered Sakhalin taimen Parahucho perryi in northern Hokkaido. Ichthyol. Res. https://doi.org/10.1007/s10228-025-01026-x (2025).
Kollewe, J. EDF cuts output at nuclear power plants as French rivers get too warm. The Guardian (3 August 2022).
Patra, R. W., Chapman, J. C., Lim, R. P., Gehrke, P. C. & Sunderam, R. M. Interactions between water temperature and contaminant toxicity to freshwater fish. Environ. Toxicol. Chem. 34, 1809–1817 (2015).
Huisman, J. Cyanobacterial blooms. Nat. Rev. Microbiol. 16, 471–483 (2018).
Kleinteich, J., Frassl, M. A., Schulz, M. & Fischer, H. Climate change triggered planktonic cyanobacterial blooms in a regulated temperate river. Sci. Rep. 14, 16298 (2024).
Murdoch, P. S., Baron, J. S. & Miller, T. L. Potential effects of climate change on surface-water quality in North America. J. Am. Water Resour. Assoc. 36, 347–366 (2000).
Mosley, L. M. Drought impacts on the water quality of freshwater systems; review and integration. Earth Sci. Rev. 140, 203–214 (2015).
Tassone, S. J., Kelly, M. C., Beidler, O. N., Pace, M. L. & Marcarelli, A. M. Impacts of riverine heatwaves on rates of ecosystem metabolism in the United States. Limnol. Oceanogr. Lett. 10, 464–472 (2025).
Caissie, D. The thermal regime of rivers: a review. Freshwater Biol. 51, 1389–1406 (2006).
Hannah, D. M. & Garner, G. River water temperature in the United Kingdom: changes over the 20th century and possible changes over the 21st century. Prog. Phys. Geogr. 39, 68–92 (2015).
Leach, J. A. & Moore, R. D. Empirical stream thermal sensitivities may underestimate stream temperature response to climate warming. Water Resour. Res. 55, 5453–5467 (2019).
Murphy, J. & Sprague, L. Water-quality trends in US rivers: exploring effects from streamflow trends and changes in watershed management. Sci. Total Environ. 656, 645–658 (2019).
Wade, J., Kelleher, C. & Hannah, D. M. Machine learning unravels controls on river water temperature regime dynamics. J. Hydrol. 623, 129821 (2023).
Webb, B. W. & Nobilis, F. Long term water temperature trends in Austrian rivers. Hydrol. Sci. J. 40, 83–96 (1995).
Kaushal, S. S. Rising stream and river temperatures in the United States. Front. Ecol. Environ. 8, 461–466 (2010).
Michel, A., Brauchli, T., Lehning, M., Schaefli, B. & Huwald, H. Stream temperature and discharge evolution in Switzerland over the last 50 years: annual and seasonal behaviour. Hydrol. Earth Syst. Sci. 24, 115–142 (2020).
Kelleher, C. A., Golden, H. E. & Archfield, S. A. Monthly river temperature trends across the US confound annual changes. Environ. Res. Lett. 16, 104006 (2021).
Tassone, S. J., Besterman, A. F., Buelo, C. D., Walter, J. A. & Pace, M. L. Co-occurrence of aquatic heatwaves with atmospheric heatwaves, low dissolved oxygen, and low pH events in estuarine ecosystems. Estuaries Coasts 45, 707–720 (2022).
Sadayappan, K. & Li, L. Riverine heat waves on the rise, outpacing air heat waves. Proc. Natl Acad. Sci. USA 122, e2503160122 (2025).
van Hamel, A. & Brunner, M. I. Trends and drivers of water temperature extremes in mountain rivers. Water Resour. Res. 60, e2024WR037518 (2024).
Zhou, Q. Characteristics of river heatwaves in the Vistula River Basin, Europe. Heliyon 10, e35987 (2024).
Sun, J. Impact of extreme atmospheric heat events on river thermal dynamics and heatwaves. J. Hydrol. 659, 133292 (2025).
Sun, J. River thermal dynamics and heatwaves of Polish rivers under climate change. Water Resour. Res. 61, e2024WR039331 (2025).
Sun, J. Unveiling spatiotemporal patterns of compound hydrological droughts and river heatwaves in Poland. J. Hydrol. Reg. Stud. 61, 102621 (2025).
Sun, J. Long-term daily water temperatures unveil escalating water warming and intensifying heatwaves in the Odra River Basin, Central Europe. Geosci. Front. 15, 101916 (2024).
Zhu, S. An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers. Sci. Total Environ. 926, 171954 (2024).
White, J. C., Ficklin, D., Adelsperger, S. & Hannah, D. M. Flows hot and cold: long-term evidence of rapid river water temperature fluctuations across the conterminous United States. Environ. Res. Lett. 20, 034056 (2025).
Poole, G. C. & Berman, C. H. An ecological perspective on in-stream temperature: natural heat dynamics and mechanisms of human-caused thermal degradation. Environ. Manage. 27, 787–802 (2001).
Michel, A., Sharma, V., Lehning, M. & Huwald, H. Climate change scenarios at hourly time-step over Switzerland from an enhanced temporal downscaling approach. Int. J. Climatol. 41, 3503–3522 (2021).
Sabater, S. Extreme weather events threaten biodiversity and functions of river ecosystems: evidence from a meta-analysis. Biol. Rev. 98, 450–461 (2023).
Dai, Q. & Suski, C. D. Differing physiological performance of coexisting cool- and warmwater fish species under heatwaves in the Midwestern United States. PLoS ONE 19, e0301130 (2024).
Taig, S. A., Holt, G., Dwyer, G. K. & Lester, R. E. Heatwaves cause relative fitness decline in aquatic insects by altering life history and host-pathogen relationships. Ecosphere 16, e70241 (2025).
Earhart, M. L. Heatwave resilience of juvenile white sturgeon is associated with epigenetic and transcriptional alterations. Sci. Rep. 13, 15451 (2023).
Lyu, J. Extreme drought-heatwave events threaten the biodiversity and stability of aquatic plankton communities in the Yangtze River ecosystems. Commun. Earth Environ. 6, 171 (2025).
van Vliet, M. T. H. Global river water quality under climate change and hydroclimatic extremes. Nat. Rev. Earth Environ. 4, 687–702 (2023).
Hermann, M. Combined stress of an insecticide and heatwaves or elevated temperature induce community and food web effects in a Mediterranean freshwater ecosystem. Water Res. 260, 121903 (2024).
Meng, S., Delnat, V. & Stoks, R. The Exposure Order strongly modifies how a heat spike increases pesticide toxicity. Environ. Sci. Technol. 54, 11476–11484 (2020).
Köhler, J. Unpredicted ecosystem response to compound human impacts in a European river. Sci. Rep. 14, 16445 (2024).
Wood, R. Acute animal and human poisonings from cyanotoxin exposure—a review of the literature. Environ. Int. 91, 276–282 (2016).
Barange, M. et al. Impacts of Climate Change on Fisheries and Aquaculture: Synthesis of Current Knowledge, Adaptation and Mitigation Options (Food and Agriculture Organization of the United Nations, 2018).
Geissinger, E. A. Salmonids in hot water: an unprecedented warm-water event in Labrador, a subarctic region of Canada. Fish. Manage. Ecol. 31, e12710 (2024).
Smith, K. E. Socioeconomic impacts of marine heatwaves: global issues and opportunities. Science 374, eabj3593 (2021).
van Vliet, M. T. H., Wiberg, D., Leduc, S. & Riahi, K. Power-generation system vulnerability and adaptation to changes in climate and water resources. Nat. Clim. Change 6, 375–380 (2016).
Delpla, I., Jung, A. V., Baures, E., Clement, M. & Thomas, O. Impacts of climate change on surface water quality in relation to drinking water production. Environ. Int. 35, 1225–1233 (2009).
Wilkins, E. J. & Horne, L. Effects and perceptions of weather, climate, and climate change on outdoor recreation and nature-based tourism in the United States: a systematic review. PLoS Clim. 3, e0000266 (2024).
Dodds, W. K. Eutrophication of U.S. freshwaters: analysis of potential economic damages. Environ. Sci. Technol. 43, 12–19 (2009).
Piccolroaz, S., Toffolon, M., Robinson, C. T. & Siviglia, A. Exploring and quantifying river thermal response to heatwaves. Water 10, 1098 (2018).
Tassone, S. J. & Pace, M. L. Increased frequency of sediment heatwaves in a Virginia seagrass meadow. Estuaries Coasts 47, 656–669 (2024).
Lencioni, V., Stella, E., Zanoni, M. G. & Bellin, A. On the delay between water temperature and invertebrate community response to warming climate. Sci. Total Environ. 837, 155759 (2022).
Barbarossa, V. Threats of global warming to the world’s freshwater fishes. Nat. Commun. 12, 1701 (2021).
Jentsch, A., Kreyling, J. & Beierkuhnlein, C. A new generation of climate-change experiments: events, not trends. Front. Ecol. Environ. 5, 365–374 (2007).
Vasseur, D. A. Increased temperature variation poses a greater risk to species than climate warming. Proc. R. Soc. B Biol. Sci. 281, 20132612 (2014).
Stubbington, R., England, J., Sarremejane, R., Watts, G. & Wood, P. J. The effects of drought on biodiversity in UK river ecosystems: drying rivers in a wet country. WIREs Water 11, e1745 (2024).
Webb, B. W., Hannah, D. M., Moore, R. D., Brown, L. E. & Nobilis, F. Recent advances in stream and river temperature research. Hydrol. Process. 22, 902–918 (2008).
Ouellet, V. River temperature research and practice: recent challenges and emerging opportunities for managing thermal habitat conditions in stream ecosystems. Sci. Total Environ. 736, 139679 (2020).
Leach, J. A., Kelleher, C., Kurylyk, B. L., Moore, R. D. & Neilson, B. T. A primer on stream temperature processes. WIREs Water 10, e1643 (2023).
Arora, R., Tockner, K. & Venohr, M. Changing river temperatures in northern Germany: trends and drivers of change. Hydrol. Process. 30, 3084–3096 (2016).
Kedra, M. Regional response to global warming: water temperature trends in semi-natural mountain river systems. Water 12, 283 (2020).
Niedrist, G. H. Substantial warming of Central European mountain rivers under climate change. Reg. Environ. Change 23, 43 (2023).
Bartholow, J. M. Recent water temperature trends in the Lower Klamath River, California. N. Am. J. Fish. Manage. 25, 152–162 (2005).
Shrestha, R. R. Rising summer river water temperature across Canada: spatial patterns and hydroclimatic controls. Environ. Res. Lett. 19, 044058 (2024).
Lammers, R. B., Pundsack, J. W. & Shiklomanov, A. I. Variability in river temperature, discharge and energy flux from the Russian pan-Arctic landmass. J. Geophys. Res. Biogeosci https://doi.org/10.1029/2006JG000370 (2007).
Liu, B., Yang, D., Ye, B. & Berezovskaya, S. Long-term open-water season stream temperature variations and changes over Lena River Basin in Siberia. Glob. Planet. Change 48, 96–111 (2005).
Wanders, N., van Vliet, M. T. H., Wada, Y., Bierkens, M. F. P. & van Beek, L. P. H. R. High-resolution global water temperature modeling. Water Resour. Res. 55, 2760–2778 (2019).
Michel, A. Future water temperature of rivers in Switzerland under climate change investigated with physics-based models. Hydrol. Earth Syst. Sci. 26, 1063–1087 (2022).
Råman Vinnå, L., Bigler, V., Schilling, O. S. & Epting, J. Multi-fidelity model assessment of climate change impacts on river water temperatures, thermal extremes and potential effects on cold water fish in Switzerland. EGUsphere https://doi.org/10.5194/egusphere-2024-3957 (2025).
Dong, W. Projected river water temperatures in Poland under climate change scenarios. J. Hydrol. Reg. Stud. 59, 102368 (2025).
van Vliet, M. T. H. Global river discharge and water temperature under climate change. Glob. Environ. Change 23, 450–464 (2013).
Moore, R. D. Glacier change in western North America: influences on hydrology, geomorphic hazards and water quality. Hydrol. Process. 23, 42–61 (2009).
Ficklin, D. L. Rethinking river water temperature in a changing, human-dominated world. Nat. Water 1, 125–128 (2023).
Maheu, A., Poff, N. L. & St-Hilaire, A. A classification of stream water temperature regimes in the Conterminous USA. River Res. Appl. 32, 896–906 (2016).
van Vliet, M. T. H., Ludwig, F., Zwolsman, J. J. G., Weedon, G. P. & Kabat, P. Global river temperatures and sensitivity to atmospheric warming and changes in river flow. Water Resour. Res. https://doi.org/10.1029/2010WR009198 (2011).
White, J. C. Drought impacts on river water temperature: a process-based understanding from temperate climates. Hydrol. Process. 37, e14958 (2023).
Georges, B., Michez, A., Latte, N., Lejeune, P. & Brostaux, Y. Water stream heating dynamics around extreme temperature events: an innovative method combining GAM and differential equations. J. Hydrol. 601, 126600 (2021).
Schlegel, R. W., Oliver, E. C. J., Hobday, A. J. & Smit, A. J. Detecting marine heatwaves with sub-optimal data. Front. Mar. Sci https://doi.org/10.3389/fmars.2019.00737 (2019).
Laizé, C. L. R., Bruna Meredith, C., Dunbar, M. J. & Hannah, D. M. Climate and basin drivers of seasonal river water temperature dynamics. Hydrol. Earth Syst. Sci. 21, 3231–3247 (2017).
Jackson, F. L., Malcolm, I. A. & Hannah, D. M. A novel approach for designing large-scale river temperature monitoring networks. Hydrol. Res. 47, 569–590 (2015).
Topp, S. N. Stream temperature prediction in a shifting environment: explaining the influence of deep learning architecture. Water Resour. Res. 59, e2022WR033880 (2023).
Gallice, A. StreamFlow 1.0: an extension to the spatially distributed snow model Alpine3D for hydrological modelling and deterministic stream temperature prediction. Geosci. Model Dev. 9, 4491–4519 (2016).
Jia, X. et al. Physics-guided recurrent graph model for predicting flow and temperature in river networks. In Proc. 2021 SIAM International Conference on Data Mining (SDM) 612–620 (SIAM, 2021); https://doi.org/10.1137/1.9781611976700.69
Jungkeit-Milla, K., Pérez-Cabello, F., de Vera-García, A. V., Galofré, M. & Valero-Garcés, B. Lake surface water temperature in high altitude lakes in the Pyrenees: combining satellite with monitoring data to assess recent trends. Sci. Total Environ. 933, 173181 (2024).
Mohamed, B., Nilsen, F. & Skogseth, R. Marine heatwaves characteristics in the Barents Sea based on high resolution satellite data (1982–2020). Front. Mar. Sci https://doi.org/10.3389/fmars.2022.821646 (2022).
Sharma, S. A global database of lake surface temperatures collected by in situ and satellite methods from 1985–2009. Sci. Data 2, 150008 (2015).
Lucas, L. V. Gaps in water quality modeling of hydrologic systems. Water 17, 1200 (2025).
Dugdale, S. J., Hannah, D. M. & Malcolm, I. A. River temperature modelling: a review of process-based approaches and future directions. Earth Sci. Rev. 175, 97–113 (2017).
van Vliet, M. T. H. Coupled daily streamflow and water temperature modelling in large river basins. Hydrol. Earth Syst. Sci. 16, 4303–4321 (2012).
Comola, F., Schaefli, B., Rinaldo, A. & Lehning, M. Thermodynamics in the hydrologic response: travel time formulation and application to Alpine catchments. Water Resour. Res. 51, 1671–1687 (2015).
Jackson, F. L., Fryer, R. J., Hannah, D. M., Millar, C. P. & Malcolm, I. A. A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland’s Atlantic salmon rivers under climate change. Sci. Total Environ. 612, 1543–1558 (2018).
Benyahya, L., Caissie, D., St-Hilaire, A., Ouarda, T. & Bobée, B. A review of statistical water temperature models. Can. Water Resour. J. 32, 179–192 (2007).
Zhu, S. & Piotrowski, A. River/stream water temperature forecasting using artificial intelligence models: a systematic review. Acta Geophys. 68, 1433–1442 (2020).
Seyedhashemi, H. Regional, multi-decadal analysis on the Loire River basin reveals that stream temperature increases faster than air temperature. Hydrol. Earth Syst. Sci. 26, 2583–2603 (2022).
Segura, C., Caldwell, P., Sun, G., McNulty, S. & Zhang, Y. A model to predict stream water temperature across the conterminous USA. Hydrol. Process. 29, 2178–2195 (2015).
Toffolon, M. & Piccolroaz, S. A hybrid model for river water temperature as a function of air temperature and discharge. Environ. Res. Lett. 10, 114011 (2015).
Rahmani, F., Appling, A., Feng, D., Lawson, K. & Shen, C. Identifying structural priors in a hybrid differentiable model for stream water temperature modeling. Water Resour. Res. 59, e2023WR034420 (2023).
Read, J. S. Process-guided deep learning predictions of lake water temperature. Water Resour. Res. 55, 9173–9190 (2019).
Rehana, S. & Rajesh, M. Assessment of impacts of climate change on Indian Riverine thermal regimes using hybrid deep learning methods. Water Resour. Res. 59, e2021WR031347 (2023).
Mirzania, E., Roshni, T., Ghorbani, M. A. & Heddam, S. River water temperature prediction using a Hybrid Model based on Variational Mode Decomposition (VMD) and Outlier Robust Extreme Learning Machine. Environ. Process. 11, 39 (2024).
Chen, S. et al. Meta-transfer-learning for time series data with extreme events: an application to water temperature prediction. In Proc. 32nd ACM International Conference on Information and Knowledge Management 266–275 (ACM, 2023).
Bogan, T., Othmer, J., Mohseni, O. & Stefan, H. Estimating extreme stream temperatures by the standard deviate method. J. Hydrol. 317, 173–189 (2006).
Rahmani, F. Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data. Environ. Res. Lett. 16, 024025 (2021).
Chang, S. Y., Schwenk, J. & Solander, K. C. Deep learning advances Arctic river water temperature predictions. Water Resour. Res. 61, e2024WR039053 (2025).
Kratzert, F., Gauch, M., Klotz, D. & Nearing, G. HESS Opinions: Never train a long short-term memory (LSTM) network on a single basin. Hydrol. Earth Syst. Sci. 28, 4187–4201 (2024).
Kratzert, F., Klotz, D., Hochreiter, S. & Nearing, G. S. A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall-runoff modeling. Hydrol. Earth Syst. Sci. 25, 2685–2703 (2021).
Acuña Espinoza, E. Analyzing the generalization capabilities of a hybrid hydrological model for extrapolation to extreme events. Hydrol. Earth Syst. Sci. 29, 1277–1294 (2025).
Baste, S., Klotz, D., Espinoza, E. A., Bardossy, A. & Loritz, R. Unveiling the limits of deep learning models in hydrological extrapolation tasks. EGUsphere 2025, https://doi.org/10.5194/egusphere-2025-425 (2025).
Willard, J., Jia, X., Xu, S., Steinbach, M. & Kumar, V. Integrating scientific knowledge with machine learning for engineering and environmental systems. ACM Comput. Surv. 55, 66:1–66:37 (2022).
Jackson, F. L., Hannah, D. M., Ouellet, V. & Malcolm, I. A. A deterministic river temperature model to prioritize management of riparian woodlands to reduce summer maximum river temperatures. Hydrol. Process. 35, e14314 (2021).
Dugdale, S. J., Malcolm, I. A., Kantola, K. & Hannah, D. M. Stream temperature under contrasting riparian forest cover: understanding thermal dynamics and heat exchange processes. Sci. Total Environ. 610, 1375–1389 (2018).
Kelly, S. & Kelly, F. L. Shaded streams with permeable watersheds provide naturally resilient fish habitat refugia during heatwaves. Fish. Manage. Ecol. 31, e12704 (2024).
Moomaw, W. R. Wetlands in a changing climate: science, policy and management. Wetlands 38, 183–205 (2018).
Klaar, M. J., Shelley, F. S., Hannah, D. M. & Krause, S. Instream wood increases riverbed temperature variability in a lowland sandy stream. River Res. Appl. 36, 1529–1542 (2020).
Soulsby, C., Youngson, A. & Webb, J. The ecohydrology of rewilding: a pressing need for evidence in the restoration of upland Atlantic salmon streams. Hydrol. Process. 38, e15142 (2024).
Maderich, V. Development and application of 3D numerical model THREETOX to the prediction of cooling water transport and mixing in the inland and coastal waters. Hydrol. Process. 22, 1000–1013 (2008).
Ren, L., Song, C., Wu, W., Guo, M. & Zhou, X. Reservoir effects on the variations of the water temperature in the upper Yellow River, China, using principal component analysis. J. Environ. Manage. 262, 110339 (2020).
Olden, J. D. & Naiman, R. J. Incorporating thermal regimes into environmental flows assessments: modifying dam operations to restore freshwater ecosystem integrity. Freshwater Biol. 55, 86–107 (2010).
Abdi, R., Endreny, T. & Nowak, D. A model to integrate urban river thermal cooling in river restoration. J. Environ. Manage. 258, 110023 (2020).
Boulton, A. J. & Hancock, P. J. Rivers as groundwater-dependent ecosystems: a review of degrees of dependency, riverine processes and management implications. Aust. J. Bot. 54, 133–144 (2006).
Hare, D. K., Helton, A. M., Johnson, Z. C., Lane, J. W. & Briggs, M. A. Continental-scale analysis of shallow and deep groundwater contributions to streams. Nat. Commun. 12, 1450 (2021).
Perkins, S. E. & Alexander, L. V. On the measurement of heat waves. J. Clim. 26, 4500–4517 (2013).
Robinson, P. J. On the definition of a heat wave. J. Appl. Meteorol. Climatol. 40, 762–775 (2001).
Hobday, A. J. A hierarchical approach to defining marine heatwaves. Prog. Oceanogr. 141, 227–238 (2016).
Woolway, R. I. Lake heatwaves under climate change. Nature 589, 402–407 (2021).
Butzge, A. J. Early warming stress on rainbow trout juveniles impairs male reproduction but contrastingly elicits intergenerational thermotolerance. Sci. Rep. 11, 17053 (2021).
Jensen, L. F. Local adaptation in brown trout early life-history traits: implications for climate change adaptability. Proc. R. Soc. B Biol. Sci. 275, 2859–2868 (2008).
Hobday, A. J., Oliver, E. C. J., Gupta, A. S., Benthuysen, J. A. & Burrows, M. T. Categorizing and naming marine heatwaves. Oceanography 31, 162–173 (2018).
Acknowledgements
We thank the Swiss National Science Foundation for supporting this Perspective through the project ‘Riverine heatwaves under climate change (RiHeat)’ (project TMSGI2_218486, granted to M.I.B.).
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van Hamel, A., Bruno, G., Chartier-Rescan, C. et al. Riverine heatwaves are an emergent climate change risk. Nat Water 3, 1356–1364 (2025). https://doi.org/10.1038/s44221-025-00541-5
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DOI: https://doi.org/10.1038/s44221-025-00541-5
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