61 citations as recorded by crossref.

1. Climate change rather than vegetation greening dominates runoff change in China Z. Song et al.
2. Ecohydrological processes can predict biocrust cover at regional scale but not global scale N. Chen et al.
3. Machine learning-based peak flow estimation for Nebraska streams S. Pokharel et al.
4. Enhanced evapotranspiration prediction by incorporating plant stomatal-hydraulic co-regulation into hydrological model Y. Liu et al.
5. Surrogate-based multiobjective optimization to rapidly size low impact development practices for outflow capture Y. Yang et al.
6. Multiple data-driven approaches for estimating daily streamflow in the Kone River basin, Vietnam T. Thach
7. Regionalization of flow duration curves for catchments in southern India using a hierarchical cluster approach C. Hiremath & L. Nandagiri
8. A comparative assessment of a hybrid approach against conventional and machine-learning daily streamflow prediction in ungauged basins S. Lee & D. Kim
9. Evaluating the performance of five global gridded potential evapotranspiration products in hydrological simulation: Application in the upper Han River Basin M. Li et al.
10. Optimizing deep neural networks for high-resolution land cover classification through data augmentation S. Sierra et al.
11. Hybrid Deep Neural Architectures with Evolutionary Optimization and Explainable AI for Drought Susceptibility Assessment J. Liu et al.
12. Improving the streamflow simulations of a data-poor mountainous watershed using parameter transfer based on similar land use and land cover M. Kavya et al.
13. Deep learning reveals the relationship between vegetation and runoff in the Weihe River Basin on the Loess Plateau Q. Ju et al.
14. Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models V. Kumar et al.
15. Сопоставление библиотек для создания моделей машинного обучения на основе методов градиентного бустинга Д. Пономарев
16. Application of Artificial Intelligence in Hydrological Modeling for Streamflow Prediction in Ungauged Watersheds: A Review J. Gacu et al.
17. Comparative analysis of rainfall-runoff simulation using a long short-term memory (LSTM) deep learning model and a conceptual hydrological model, HEC-HMS: a case study of the mountainous river basin of Nepal U. Marasini & M. Pokhrel
18. Deciphering the daily spatiotemporal dynamics and mechanisms of floods in the Tarim Basin desert region A. Tursun et al.
19. Regionalizing hydrologic information for runoff predictions beyond continental boundaries using machine learning M. Fathi & A. Awadallah
20. Suspended sediment load modeling using Hydro-Climate variables and Machine learning S. Aldin Shojaeezadeh et al.
21. Unveiling climate-driven water surface dynamics in the largest tropical lake in Borneo: A machine learning approach using multi-source satellite imagery M. Rifai & . Harintaka
22. Challenges of modelling climate change impacts on hydrology and water resources: AI is the game changer—a review C. Onyutha
23. Analytical Survey on the Sustainable Advancements in Water and Hydrology Resources with AI Implications for a Resilient Future A. Bhadauria et al.
24. Vegetation greening promotes the conversion of blue water to green water by enhancing transpiration Z. Song et al.
25. Ensemble Boosting Methods for Surface Water Quality Modeling: A Review M. Zounemat-Kermani & M. Kheimi
26. Multi-step ahead streamflow forecasting method using Embedding Multi-Layer Perceptron Y. Li & S. Yang
27. Training a hidden Markov model with PMDI and temperature to create climate informed scenarios B. Tezcan & M. Garcia
28. Enhancing streamflow simulation accuracy in ungauged catchments via parameter calibration with triple collocation-based merged evapotranspiration and streamflow features Z. Xu et al.
29. Data-driven parameterization of SWAT+ reservoir module without access to operation rules S. Sreeraj et al.
30. Machine learning algorithms for merging satellite-based precipitation products and their application on meteorological drought monitoring over Kenya S. Ghosh et al.
31. Comparative performance of regionalization methods for model parameterization in ungauged Himalayan watersheds N. Karki et al.
32. Comparing three machine learning algorithms with existing methods for natural streamflow estimation S. Mehrvand et al.
33. Regional Flood Frequency Analysis of Northern Iran M. Adhami
34. Experimental Comparative Study on Self-Imputation Methods and Their Quality Assessment for Monthly River Flow Data with Gaps: Case Study to Mures River Z. Magyari-Sáska et al.
35. Climate and vegetation change impacts on future conterminous United States water yield H. Duarte et al.
36. Exploring stable isotope patterns in monthly precipitation across Southeast Asia using contemporary deep learning models and SHapley Additive exPlanations (SHAP) techniques M. Heydarizad et al.
37. Hybrid machine learning model for sediment transport forecast in the cheliff Basin, Northern Algeria R. Mokhtari et al.
38. A Daily Runoff Prediction Model for the Yangtze River Basin Based on an Improved Generative Adversarial Network T. Liu et al.
39. Comparative evaluation of RF and GBT models for dead fuel moisture estimation and fuel-type-specific drivers under drought conditions in Central Yunnan, China Y. Liu et al.
40. Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning S. Majnooni et al.
41. A simple and effective approach to enhance the representation of spatial heterogeneity in lumped conceptual hydrological models: Application in the time-variant gain model Y. Zhu et al.
42. Characterizing future changes in compound flood risk by capturing the dependence between rainfall and river flow: An application to the Yangtze River Basin, China J. Yu et al.
43. Response of hydrological drought to vegetation change in China X. Zhang et al.
44. Response of blue-green water to climate and vegetation changes in the water source region of China's South-North water Diversion Project X. Li et al.
45. An explainable hybrid framework for estimating daily reference evapotranspiration: Combining extreme gradient boosting with Nelder-Mead method B. Mohammadi et al.
46. Fuzzy C-Means clustering for physical model calibration and 7-day, 10-year low flow estimation in ungaged basins: comparisons to traditional, statistical estimates A. DelSanto et al.
47. A regionalization based machine learning framework for bias correction and downscaling of ESACCI soil moisture in data limited region: A case study over India I. Dasari & V. Vema
48. Streamflow prediction across Canada’s southern provinces using gradient boosting M. Alipour
49. Interpretable machine learning on large samples for supporting runoff estimation in ungauged basins Y. Xu et al.
50. Future changes in hydrological drought across the Yangtze River Basin: identification, spatial–temporal characteristics, and concurrent probability J. Yu et al.
51. Multi-Model Comparison in the Attribution of Runoff Variation across a Humid Region of Southern China Q. Wang et al.
52. Coupling a Distributed Time Variant Gain Model into a Storm Water Management Model to Simulate Runoffs in a Sponge City Y. Yang et al.
53. Assessing the role of gridded evapotranspiration products in improving streamflow simulation and reducing hydrological modeling uncertainty M. Li et al.
54. Multi-Machine Learning Ensemble Regionalization of Hydrological Parameters for Enhancing Flood Prediction in Ungauged Mountainous Catchments K. Li et al.
55. Large-scale modeling of solar water pumps using machine learning G. Zuffinetti et al.
56. A Proposal for a New Python Library Implementing Stepwise Procedure L. Fávero et al.
57. Parameter optimization method of hydrological model based on neural ordinary differential equations Q. Xiangzhao et al.
58. DAR-type model based on “long memory-threshold” structure: a competitor for daily streamflow prediction under changing environment H. Wang et al.
59. Regional stream temperature modeling in pristine Atlantic salmon rivers: A hybrid deterministic–Machine Learning approach I. Hani et al.
60. Nested Cross-Validation for HBV Conceptual Rainfall–Runoff Model Spatial Stability Analysis in a Semi-Arid Context M. El Garnaoui et al.
61. Model parameterization scheme for a distributed hydrological model, BTOPMC S. Bastola