36 citations as recorded by crossref.

1. 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
2. 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
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. Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models L. Li et al. 10.1007/s00376-023-3181-8
5. 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
6. In-depth simulation of rainfall–runoff relationships using machine learning methods M. Fuladipanah et al. 10.2166/wpt.2024.147
7. 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
8. 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
9. Combining Synthetic and Observed Data to Enhance Machine Learning Model Performance for Streamflow Prediction S. López-Chacón et al. 10.3390/w15112020
10. Optimal Postprocessing Strategies With LSTM for Global Streamflow Prediction in Ungauged Basins S. Tang et al. 10.1029/2022WR034352
11. A review of hybrid deep learning applications for streamflow forecasting K. Ng et al. 10.1016/j.jhydrol.2023.130141
12. Forecasting bathing water quality in the UK: A critical review K. Krupska et al. 10.1002/wat2.1718
13. Soil Dynamics and Crop Yield Modeling Using the MONICA Crop Simulation Model and Time Series Forecasting Methods I. Mirpulatov et al. 10.3390/agronomy13082185
14. 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
15. 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
16. 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
17. A Statistical Forecasting Model for Extremes of the Fire Behaviour Index in Australia R. Taylor et al. 10.3390/atmos15040470
18. 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
19. Synthetic Forecast Ensembles for Evaluating Forecast Informed Reservoir Operations Z. Brodeur et al. 10.1029/2023WR034898
20. Editorial: Data-driven machine learning for advancing hydrological and hydraulic predictability D. Lu et al. 10.3389/frwa.2023.1215966
21. 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
22. 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
23. Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach Q. Yu et al. 10.5194/hess-28-2107-2024
24. 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
25. Investigating permafrost carbon dynamics in Alaska with artificial intelligence B. Gay et al. 10.1088/1748-9326/ad0607
26. Impacts of hot-dry conditions on hydropower production in Switzerland N. Otero et al. 10.1088/1748-9326/acd8d7
27. 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
28. Hybrid Deep Learning and S2S Model for Improved Sub-Seasonal Surface and Root-Zone Soil Moisture Forecasting L. Xu et al. 10.3390/rs15133410
29. 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
30. Monthly Ocean Primary Productivity Forecasting by Joint Use of Seasonal Climate Prediction and Temporal Memory L. Xu et al. 10.3390/rs15051417
31. Soil Dynamics and Crop Yield Modeling Using the MONICA Crop Simulation Model and Time Series Forecasting Methods I. Mirpulatov et al. 10.3390/agronomy13082185
32. Skillful Decadal Flood Prediction S. Moulds et al. 10.1029/2022GL100650
33. 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
34. A Statistical Forecasting Model for Extremes of the Fire Behaviour Index in Australia R. Taylor et al. 10.3390/atmos15040470
35. Energy Forecasting Model for Ground Movement Operation in Green Airport A. Ajayi et al. 10.3390/en16135008
36. Resilience of UK crop yields to compound climate change L. Slater et al. 10.5194/esd-13-1377-2022