58 citations as recorded by crossref.

1. Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. 10.1002/met.2192
2. Water Resources’ AI–ML Data Uncertainty Risk and Mitigation Using Data Assimilation N. Martin & J. White 10.3390/w16192758
3. Research on machine learning hybrid framework by coupling grid-based runoff generation model and runoff process vectorization for flood forecasting C. Liu et al. 10.1016/j.jenvman.2024.121466
4. Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives S. Materia et al. 10.1002/wcc.914
5. Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models L. Li et al. 10.1007/s00376-023-3181-8
6. Hybrid modeling of first-principles and machine learning: A step-by-step tutorial review for practical implementation P. Shah et al. 10.1016/j.compchemeng.2024.108926
7. In-depth simulation of rainfall–runoff relationships using machine learning methods M. Fuladipanah et al. 10.2166/wpt.2024.147
8. FROSTBYTE: a reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America L. Arnal et al. 10.5194/hess-28-4127-2024
9. Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications S. Sharifhosseini et al. 10.3390/en17215385
10. Combining Synthetic and Observed Data to Enhance Machine Learning Model Performance for Streamflow Prediction S. López-Chacón et al. 10.3390/w15112020
11. Analyzing the Relationship between Agricultural AI Adoption and Government-Subsidized Insurance C. Osorio et al. 10.3390/agriculture14101804
12. A national-scale hybrid model for enhanced streamflow estimation – consolidating a physically based hydrological model with long short-term memory (LSTM) networks J. Liu et al. 10.5194/hess-28-2871-2024
13. Coupling SWAT and LSTM for Improving Daily Streamflow Simulation in a Humid and Semi-humid River Basin Z. Mei et al. 10.1007/s11269-024-03975-w
14. A review of hybrid deep learning applications for streamflow forecasting K. Ng et al. 10.1016/j.jhydrol.2023.130141
15. Forecasting bathing water quality in the UK: A critical review K. Krupska et al. 10.1002/wat2.1718
16. A statistical–dynamical approach for probabilistic prediction of sub-seasonal precipitation anomalies over 17 hydroclimatic regions in China Y. Li et al. 10.5194/hess-27-4187-2023
17. A causal physics-informed deep learning formulation for groundwater flow modeling and climate change effect analysis A. Adombi et al. 10.1016/j.jhydrol.2024.131370
18. Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets F. Hasan et al. 10.3390/w16131904
19. Review article: Towards improved drought prediction in the Mediterranean region – modeling approaches and future directions B. Zellou et al. 10.5194/nhess-23-3543-2023
20. Synthetic Forecast Ensembles for Evaluating Forecast Informed Reservoir Operations Z. Brodeur et al. 10.1029/2023WR034898
21. Internal structure modification of a simple monthly water balance model via incorporation of a machine learning-based nonlinear routing U. Okkan et al. 10.2166/hydro.2024.010
22. Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought Y. Luo et al. 10.1007/s11119-024-10149-6
23. The Implementation of Multimodal Large Language Models for Hydrological Applications: A Comparative Study of GPT-4 Vision, Gemini, LLaVa, and Multimodal-GPT L. Kadiyala et al. 10.3390/hydrology11090148
24. Artificial intelligence and numerical weather prediction models: A technical survey M. Waqas et al. 10.1016/j.nhres.2024.11.004
25. Superior performance of hybrid model in ungauged basins for real-time hourly water level forecasting – A case study on the Lancang-Mekong mainstream Z. Dong et al. 10.1016/j.jhydrol.2024.130941
26. Ecosystem stability assessment under hydroclimatic anomalies in the arid region of Northwest China S. Chang et al. 10.1016/j.ecolind.2024.112831
27. A Weighted Likelihood Ensemble Approach for Failure Prediction of Water Pipes R. Beig Zali et al. 10.1061/JWRMD5.WRENG-6655
28. Control of climate and physiography on runoff response behavior through use of catchment classification and machine learning S. Du et al. 10.1016/j.scitotenv.2023.166422
29. Hydrological model parameter regionalization: Runoff estimation using machine learning techniques in the Tha Chin River Basin, Thailand P. Hlaing et al. 10.1016/j.mex.2024.102792
30. Enhancing the capabilities of the Chao Phraya forecasting system through the integration of pre-processed numerical weather forecasts T. Charoensuk et al. 10.1016/j.ejrh.2024.101737
31. Seasonal forecasts have sufficient skill to inform some agricultural decisions A. Kondal et al. 10.1088/1748-9326/ad8bde
32. Optimal Postprocessing Strategies With LSTM for Global Streamflow Prediction in Ungauged Basins S. Tang et al. 10.1029/2022WR034352
33. Consecutive one-week model predictions of land surface temperature stay on track for a decade with chaotic behavior tracking J. Ren et al. 10.1038/s43247-024-01801-0
34. Soil Dynamics and Crop Yield Modeling Using the MONICA Crop Simulation Model and Time Series Forecasting Methods I. Mirpulatov et al. 10.3390/agronomy13082185
35. Enhanced rainfall nowcasting of tropical cyclone by an interpretable deep learning model and its application in real-time flood forecasting L. Liu et al. 10.1016/j.jhydrol.2024.131993
36. Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. 10.5194/hess-27-4385-2023
37. Analysis of time series characteristics using machine learning model and correlation matrix in the tasks of forecasting the state of forest ecosystems P. Gusev et al. 10.1051/bioconf/202414504019
38. A Statistical Forecasting Model for Extremes of the Fire Behaviour Index in Australia R. Taylor et al. 10.3390/atmos15040470
39. A Novel mRMR-RFE-RF Method for Enhancing Medium- and Long-Term Hydrological Forecasting: A Case Study of the Danjiangkou Basin T. Tang et al. 10.1109/JSTARS.2024.3449441
40. Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning R. Maity et al. 10.1016/j.acags.2024.100206
41. Forecasting of wind farm power output based on dynamic loading of power transformer at the substation M. Hartmann et al. 10.1016/j.epsr.2024.110527
42. Editorial: Data-driven machine learning for advancing hydrological and hydraulic predictability D. Lu et al. 10.3389/frwa.2023.1215966
43. Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions H. Tao et al. 10.1016/j.engappai.2023.107559
44. Prognosticators for precipitation variability adopting principal component regression analysis E. Aamir & A. Ghumman 10.1007/s12517-024-12111-2
45. Identification of influential weather parameters and seasonal drought prediction in Bangladesh using machine learning algorithm M. Al Mamun et al. 10.1038/s41598-023-51111-2
46. Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach Q. Yu et al. 10.5194/hess-28-2107-2024
47. Investigating permafrost carbon dynamics in Alaska with artificial intelligence B. Gay et al. 10.1088/1748-9326/ad0607
48. Impacts of hot-dry conditions on hydropower production in Switzerland N. Otero et al. 10.1088/1748-9326/acd8d7
49. A comparison of seasonal rainfall forecasts over Central America using dynamic and hybrid approaches from Copernicus Climate Change Service seasonal forecasting system and the North American Multimodel Ensemble K. Kowal et al. 10.1002/joc.7969
50. Hybrid Deep Learning and S2S Model for Improved Sub-Seasonal Surface and Root-Zone Soil Moisture Forecasting L. Xu et al. 10.3390/rs15133410
51. Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. 10.1111/jfr3.12880
52. Monthly Ocean Primary Productivity Forecasting by Joint Use of Seasonal Climate Prediction and Temporal Memory L. Xu et al. 10.3390/rs15051417
53. Soil Dynamics and Crop Yield Modeling Using the MONICA Crop Simulation Model and Time Series Forecasting Methods I. Mirpulatov et al. 10.3390/agronomy13082185
54. Skillful Decadal Flood Prediction S. Moulds et al. 10.1029/2022GL100650
55. 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
56. A Statistical Forecasting Model for Extremes of the Fire Behaviour Index in Australia R. Taylor et al. 10.3390/atmos15040470
57. Energy Forecasting Model for Ground Movement Operation in Green Airport A. Ajayi et al. 10.3390/en16135008
58. Resilience of UK crop yields to compound climate change L. Slater et al. 10.5194/esd-13-1377-2022