130 citations as recorded by crossref.

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2. Review on the Change Trend, Attribution Analysis, Retrieval, Simulation, and Prediction of Lake Surface Water Temperature T. Jia et al. https://doi.org/10.1109/JSTARS.2022.3188788
3. Growth of starry stonewort (Nitellopsis obtusa (Desvaux) J. Groves, Characeae) in two Michigan, USA, drowned river mouth lakes E. Moore et al. https://doi.org/10.1016/j.jglr.2025.102687
4. Satellite-derived albedo improves long-term lake energy balance modeling in the central Qinghai-Xizang Plateau L. Guo et al. https://doi.org/10.1007/s00343-026-5316-0
5. Reconstructing Six Decades of Surface Temperatures at a Shallow Lake X. Zhang et al. https://doi.org/10.3390/w12020405
6. Multi-fidelity model assessment of climate change impacts on river water temperatures and thermal extremes and potential effects on cold-water fish in Switzerland L. Råman Vinnå et al. https://doi.org/10.5194/hess-29-5931-2025
7. Effects of thermal inertia and the thermally active layer of a small lake S. Bogdanov et al. https://doi.org/10.59887/2073-6673.2025.18(4)-5
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9. Development of an adaptive neuro-fuzzy inference system (ANFIS) model to predict sea surface temperature (SST) S. Kale https://doi.org/10.1515/ohs-2020-0031
10. Past and future climate change effects on the thermal regime and oxygen solubility of four peri-alpine lakes O. Desgué-Itier et al. https://doi.org/10.5194/hess-27-837-2023
11. Excess warming of a Central European lake driven by solar brightening M. Schmid & O. Köster https://doi.org/10.1002/2016WR018651
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15. Future climate-induced changes in mixing and deep oxygen content of a caldera lake with hydrothermal heat and salt inputs T. Wood et al. https://doi.org/10.1016/j.jglr.2023.03.014
16. Modelling Heat Balance of a Large Lake in Central Tibetan Plateau Incorporating Satellite Observations L. Guo et al. https://doi.org/10.3390/rs15163982
17. Modelling the impacts of climate change on riverine thermal regimes in western Canada’s largest Pacific watershed S. Islam et al. https://doi.org/10.1038/s41598-019-47804-2
18. Spatial and temporal variations in water temperature in a high-altitude deep dimictic mountain lake (Nam Co), central Tibetan Plateau J. Wang et al. https://doi.org/10.1016/j.jglr.2018.12.005
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21. The water heat pump operation under frost conditions on the evaporator surface V. Maksimov & A. Saloum https://doi.org/10.30724/1998-9903-2019-21-3-4-44-51
22. Climate warming and projected loss of thermal habitat volume in lake populations of brook trout M. Ridgway et al. https://doi.org/10.1139/cjfas-2023-0192
23. Responses of Lake Ice Phenology to Climate Change at Tibetan Plateau L. Guo et al. https://doi.org/10.1109/JSTARS.2020.3006270
24. Regional vs. global temperature calibrations for lacustrine BrGDGTs in the North American (sub)tropics: Implications for their application in paleotemperature reconstructions Y. Lei et al. https://doi.org/10.1016/j.orggeochem.2023.104660
25. Ice Cover and Extreme Events Determine Dissolved Oxygen in a Placid Mountain Lake G. Flaim et al. https://doi.org/10.1029/2020WR027321
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27. The fate of Lake Baikal: how climate change may alter deep ventilation in the largest lake on Earth S. Piccolroaz & M. Toffolon https://doi.org/10.1007/s10584-018-2275-2
28. Exploring and quantifying the impact of climate change on surface water temperature of a high mountain lake in Central Europe S. Zhu et al. https://doi.org/10.1007/s10661-019-7994-y
29. Unveiling fDOM dynamics in shallow lakes via a coupled “spectral-thermal” XGBoost-SHAP retrieval framework: Implications for water diversion management in Lake Honghu K. Yu et al. https://doi.org/10.1016/j.envres.2026.124003
30. Critical factors for the use of machine learning to predict lake surface water temperature A. Yousefi & M. Toffolon https://doi.org/10.1016/j.jhydrol.2021.127418
31. Lake Surface Temperature Predictions under Different Climate Scenarios with Machine Learning Methods: A Case Study of Qinghai Lake and Hulun Lake, China Z. Li et al. https://doi.org/10.3390/rs16173220
32. Thermal discontinuities along a lowland river: The importance of urban areas and lakes R. Arora et al. https://doi.org/10.1016/j.jhydrol.2018.05.066
33. Sympatric occurrence and population dynamics of Scylla spp. in equatorial climate: Effects of rainfall, temperature and lunar phase H. Fazhan et al. https://doi.org/10.1016/j.ecss.2017.09.022
34. Seven Decades of Surface Temperature Changes in Central European Lakes: What Is Next? M. Ptak et al. https://doi.org/10.3390/resources13110149
35. A framework for ensemble modelling of climate change impacts on lakes worldwide: the ISIMIP Lake Sector M. Golub et al. https://doi.org/10.5194/gmd-15-4597-2022
36. Warming of lowland Polish lakes under future climate change scenarios and consequences for ice cover and mixing dynamics S. Piccolroaz et al. https://doi.org/10.1016/j.ejrh.2021.100780
37. Uncertainty in projections of future lake thermal dynamics is differentially driven by lake and global climate models J. Wynne et al. https://doi.org/10.7717/peerj.15445
38. Probabilistic extreme SST and marine heatwave forecasts in Chesapeake Bay: A forecast model, skill assessment, and potential value A. Ross & C. Stock https://doi.org/10.3389/fmars.2022.896961
39. Estimation of the Thermally Reactive Layer in Lakes Based on Surface Water Temperature M. Toffolon et al. https://doi.org/10.1029/2021WR031755
40. Prediction of Surface Water Temperature and Its Spatial-Temporal Variation Characteristics of 11 Main Lakes in Yunnan–Guizhou Plateau S. Xu et al. https://doi.org/10.1109/JSTARS.2023.3335291
41. A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave S. Zhu et al. https://doi.org/10.1016/j.scitotenv.2023.167121
42. Impacts of and resilience to climate change at the bottom of the shrimp commodity chain in Bangladesh: A preliminary investigation S. Kais & M. Islam https://doi.org/10.1016/j.aquaculture.2017.05.024
43. Climate Change Effects on a Subtropical Coastal Shallow Lake from Heatwave Indexes C. Saldanha-Ferrari et al. https://doi.org/10.1007/s41748-024-00538-2
44. Model-Based Design of a Pseudo-Cogenerative Heating System for e-Boat Battery Cold Start D. Fusai et al. https://doi.org/10.3390/en14041022
45. How does the calibration method impact the performance of the air2water model for the forecasting of lake surface water temperatures? S. Zhu et al. https://doi.org/10.1016/j.jhydrol.2021.126219
46. Estuarine Tidal Cycles May Preserve Thermal Refugia as Global Temperatures Increase M. Davis et al. https://doi.org/10.1007/s12237-025-01510-7
47. Dynamic Response of Surface Water Temperature in Urban Lakes under Different Climate Scenarios—A Case Study in Dianchi Lake, China H. Duan et al. https://doi.org/10.3390/ijerph191912142
48. An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers S. Zhu et al. https://doi.org/10.1016/j.scitotenv.2024.171954
49. A Spatiotemporal Physics-Motivated State-Space Model of Lake Temperature Profiles L. Menicali et al. https://doi.org/10.1021/acs.est.5c17818
50. A simple approach to estimate lake surface water temperatures in Polish lowland lakes S. Zhu et al. https://doi.org/10.1016/j.ejrh.2023.101468
51. Climate Relationships between Air Temperature and Water Temperatures in the Different Limnetic Zones of Lake Ladoga M. Naumenko & V. Guzivaty https://doi.org/10.1134/S1875372822010097
52. Effects of re‐oligotrophication and climate change on lake thermal structure G. Flaim et al. https://doi.org/10.1111/fwb.12819
53. Quantifying methane emissions from Laurentian Great Lakes estuaries using in situ measurements, remote sensing, and machine learning J. Greene et al. https://doi.org/10.1002/lol2.70099
54. On the predictability of lake surface temperature using air temperature in a changing climate: A case study for Lake Tahoe (U.S.A.) S. Piccolroaz et al. https://doi.org/10.1002/lno.10626
55. Predicting open-water thermal regimes of temperate North American lakes D. Gillis et al. https://doi.org/10.1139/cjfas-2020-0140
56. Opposing diversity–stability relationships within versus between aquatic producers and consumers L. Zhou et al. https://doi.org/10.1093/nsr/nwag274
57. Forecasting surface water temperature in lakes: A comparison of approaches S. Zhu et al. https://doi.org/10.1016/j.jhydrol.2020.124809
58. Warming of Central European lakes and their response to the 1980s climate regime shift R. Woolway et al. https://doi.org/10.1007/s10584-017-1966-4
59. Wildfire smoke reduces water temperature and metabolic rates in lakes and ponds across a small headwater watershed M. Farruggia et al. https://doi.org/10.1002/lol2.70125
60. PID4LaTe: a physics-informed deep learning model for lake multi-depth temperature prediction L. Chen et al. https://doi.org/10.1007/s12145-024-01377-5
61. A stacked machine learning model for multi-step ahead prediction of lake surface water temperature F. Di Nunno et al. https://doi.org/10.1016/j.scitotenv.2023.164323
62. Redefining inland water temperature forecasting with advanced neural architectures F. Granata et al. https://doi.org/10.1016/j.watcyc.2026.04.001
63. Performance of the air2stream model that relates air and stream water temperatures depends on the calibration method A. Piotrowski & J. Napiorkowski https://doi.org/10.1016/j.jhydrol.2018.04.016
64. Towards numerical modeling of surface water temperature in a tropical lake in central-western Mexico: atmospheric forcing, validation, and verification through satellite-based observations D. Pantoja & T. Gasca-Ortiz https://doi.org/10.1080/20442041.2025.2556616
65. Historical and projected response of Southeast Asian lakes surface water temperature to warming climate S. Virdis et al. https://doi.org/10.1016/j.envres.2024.118412
66. Geographic and temporal variations in turbulent heat loss from lakes: A global analysis across 45 lakes R. Woolway et al. https://doi.org/10.1002/lno.10950
67. Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach M. Kayastha et al. https://doi.org/10.3390/rs15174253
68. Modelling tool for predicting and simulating nitrogen concentrations in cold-climate mining ponds L. Nilsson & A. Widerlund https://doi.org/10.1016/j.ecolmodel.2018.04.006
69. Modeling and Experimental Investigation of the Evolution of Surface Temperature Fields in Water Bodies F. Luo et al. https://doi.org/10.3390/app15063140
70. Substantial increase in minimum lake surface temperatures under climate change R. Woolway et al. https://doi.org/10.1007/s10584-019-02465-y
71. Impact of climate change on the Vrana Lake surface water temperature in Croatia using support vector regression Ž. Brkić & O. Larva https://doi.org/10.1016/j.ejrh.2024.101858
72. Impact of the 2018 European heatwave on lake surface water temperature R. Woolway et al. https://doi.org/10.1080/20442041.2020.1712180
73. A Hydrodynamic-Informed Surrogate Modeling Framework for Deep Reservoir Thermal Stratification Using Deterministic–Stochastic Signal Decomposition and XGBoost Residual Correction: A Case Study of Miyun Reservoir, the Largest Drinking Water Source Reservoir in North China D. Chen https://doi.org/10.1016/j.hydrch.2026.100032
74. A hybrid model for river water temperature as a function of air temperature and discharge M. Toffolon & S. Piccolroaz https://doi.org/10.1088/1748-9326/10/11/114011
75. Prediction of river water temperature: a comparison between a new family of hybrid models and statistical approaches S. Piccolroaz et al. https://doi.org/10.1002/hyp.10913
76. Regime shifts in the thermal dynamics of offshore China due to accelerated global warming Y. Wang et al. https://doi.org/10.1016/j.scitotenv.2024.174882
77. Lake-water-temperature regulation under diurnal and annual cycles of environmental forcing, Agamon Hula, Israel G. Tau et al. https://doi.org/10.1016/j.jhydrol.2025.133142
78. Utilizing Multi-Source Datasets for the Reconstruction and Prediction of Water Temperature in Lake Miedwie (Poland) M. Ptak et al. https://doi.org/10.3390/rs16152753
79. Four decades of full-depth profiles reveal layer-resolved drivers of reservoir thermal regimes and episodic hypolimnetic warming C. Mi et al. https://doi.org/10.5194/hess-30-4611-2026
80. Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN S. Heddam et al. https://doi.org/10.1016/j.jhydrol.2020.125130
81. On the role of local depth and latitude on surface warming heterogeneity in the Laurentian Great Lakes E. Calamita et al. https://doi.org/10.1080/20442041.2021.1873698
82. Air2water model with nine parameters for lake surface temperature assessment A. Piotrowski et al. https://doi.org/10.1016/j.limno.2022.125967
83. Drivers of Warming in Lake Nam Co on Tibetan Plateau Over the Past 40 Years Y. Shi et al. https://doi.org/10.1029/2021JD036320
84. Is Everything Lost? Recreating the Surface Water Temperature of Unmonitored Lakes in Poland M. Ptak et al. https://doi.org/10.3390/resources14040067
85. Multidecadal analysis of Lake Garda water balance L. Hinegk et al. https://doi.org/10.4081/jlimnol.2023.2144
86. Cyanobacterial Blooms in Lake Varese: Analysis and Characterization over Ten Years of Observations N. Chirico et al. https://doi.org/10.3390/w12030675
87. Cumulative intensity heatwave index as an assessment tool for climate change effects on shallow lakes C. Saldanha-Ferrari et al. https://doi.org/10.23818/limn.45.11
88. Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures L. Winslow et al. https://doi.org/10.1002/lno.10557
89. Coupled convolutional neural network with long short-term memory network for predicting lake water temperature H. Yang et al. https://doi.org/10.1016/j.jhydrol.2025.132878
90. Water temperature prediction in a subtropical subalpine lake using soft computing techniques S. Samadianfard et al. https://doi.org/10.15446/esrj.v20n2.43199
91. Relevance of inflows on the thermodynamic structure and on the modeling of a deep subalpine lake (Lake Maggiore, Northern Italy/Southern Switzerland) A. Fenocchi et al. https://doi.org/10.1016/j.limno.2017.01.006
92. Climate change and Arctic charr (Salvelinus alpinus) in North America: modelling possible changes in range with different climate scenarios and interspecific interactions C. Bommersbach et al. https://doi.org/10.1007/s10228-024-00987-9
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94. A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction Z. Hao et al. https://doi.org/10.3390/rs15040900
95. A hybrid model for the forecasting of sea surface water temperature using the information of air temperature: a case study of the Baltic Sea S. Zhu et al. https://doi.org/10.1080/27669645.2022.2058689
96. Increasing prevalence of warm monomictic lakes in France over six decades under climate change N. Sharaf et al. https://doi.org/10.1007/s10584-025-04095-z
97. The impact of extreme heat on lake warming in China W. Wang et al. https://doi.org/10.1038/s41467-023-44404-7
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99. Effects of Long-Term Increases in Water Temperature and Stratification on Large Artificial Water-Source Lakes in South Korea S. Yu et al. https://doi.org/10.3390/w13172341
100. Nanoplastics Distribution during Ice Formation: Insights into Natural Surface Water Freezing Conditions Y. Wang et al. https://doi.org/10.1021/acs.est.4c10211
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102. Enhancing the vapor condensation efficiency of a solar water purifier by rapid heat dissipation to bottom bulk water X. Lan et al. https://doi.org/10.1039/D2TA01187E
103. Ice phenology dataset reconstructed from remote sensing and modelling for lakes over the Tibetan Plateau Y. Wu et al. https://doi.org/10.1038/s41597-022-01863-9
104. Modeling Lake Titicaca's water balance: the dominant roles of precipitation and evaporation N. Lima-Quispe et al. https://doi.org/10.5194/hess-29-655-2025
105. Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation S. Liu et al. https://doi.org/10.1007/s12145-024-01448-7
106. Derivation of consistent, continuous daily river temperature data series by combining remote sensing and water temperature models M. Tavares et al. https://doi.org/10.1016/j.rse.2020.111721
107. Global reconstruction of twentieth century lake surface water temperature reveals different warming trends depending on the climatic zone S. Piccolroaz et al. https://doi.org/10.1007/s10584-020-02663-z
108. How the choice of model calibration procedure affects projections of lake surface water temperatures for future climatic conditions J. Napiorkowski et al. https://doi.org/10.1016/j.jhydrol.2025.133236
109. The Distribution and Prediction of Summer Near-Surface Water Temperatures in Lakes of the Coterminous United States and Southern Canada R. Bachmann et al. https://doi.org/10.3390/geosciences9070296
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112. Winter thermal structure across the Laurentian Great Lakes J. Austin et al. https://doi.org/10.1016/j.jglr.2025.102550
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114. The influence of shape on reservoir stratification under changing climates D. Birt et al. https://doi.org/10.1080/20442041.2025.2585841
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116. Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020) J. Willard et al. https://doi.org/10.1002/lol2.10249
117. Intraspecific variation in the functional response of an invasive crayfish under different temperatures V. Chicatun et al. https://doi.org/10.1139/cjz-2024-0006
118. Multi-step ahead prediction of lake water temperature using neural network and physically-based model C. Chen & X. Xue https://doi.org/10.1080/00221686.2024.2377132
119. Diel temperature patterns unveiled: High-frequency monitoring and deep learning in Lake Kasumigaura S. Zhu et al. https://doi.org/10.1016/j.ecolind.2024.112958
120. Chlorophyll a predictability and relative importance of factors governing lake phytoplankton at different timescales X. Liu et al. https://doi.org/10.1016/j.scitotenv.2018.08.146
121. Simulation and Prediction of Thermokarst Lake Surface Temperature Changes on the Qinghai–Tibet Plateau C. Zhang et al. https://doi.org/10.3390/rs16244645
122. Impact of climate warming on the surface water temperature of plateau lake Z. Peng et al. https://doi.org/10.1007/s11600-021-00581-x
123. Investigation on River Thermal Regime under Dam Influence by Integrating Remote Sensing and Water Temperature Model X. Shi et al. https://doi.org/10.3390/w13020133
124. Physics-informed data-driven model for the prediction of river water temperature H. Yang & X. Xue https://doi.org/10.1016/j.engappai.2026.114386
125. Quantifying the difference between surface temperature and surface waterbulk temperature and its influencing factors at Lake Taihu with <i>in-situ</i> observation L. Yuzhu et al. https://doi.org/10.18307/2023.0543
126. Estimation of evaporation for Lake Van H. Aydin & H. Karakuş https://doi.org/10.1007/s12665-016-6077-4
127. Climate warming increases vertical and seasonal water temperature differences and inter-annual variability in a mountain lake G. Niedrist et al. https://doi.org/10.1007/s10584-018-2328-6
128. Quantifying the impact of the Three Gorges Dam on the thermal dynamics of the Yangtze River H. Cai et al. https://doi.org/10.1088/1748-9326/aab9e0
129. 150-year daily data (1870–2021) in lakes and rivers reveals intensifying surface water warming and heatwaves in the Pannonian Ecoregion (Hungary) H. Li et al. https://doi.org/10.1016/j.ejrh.2024.101985
130. A long-term dataset of simulated epilimnion and hypolimnion temperatures in 401 French lakes (1959–2020) N. Sharaf et al. https://doi.org/10.5194/essd-15-5631-2023