46 citations as recorded by crossref.

1. Using ground penetrating radar to assess the variability of snow water equivalent and melt in a mixed canopy forest, Northern Colorado R. Webb https://doi.org/10.1007/s11707-017-0645-0
2. Hydrologic response of a Hawaiian watershed to future climate change scenarios M. Safeeq & A. Fares https://doi.org/10.1002/hyp.8328
3. The Presence of Hydraulic Barriers in Layered Snowpacks: TOUGH2 Simulations and Estimated Diversion Lengths R. Webb et al. https://doi.org/10.1007/s11242-018-1079-1
4. Hydrologic effect of groundwater development in a small mountainous tropical watershed M. Safeeq & A. Fares https://doi.org/10.1016/j.jhydrol.2012.01.023
5. Long-term assessment of land-use and climate change on water scarcity in an arid basin in Iran E. Rafiei-Sardooi et al. https://doi.org/10.1016/j.ecolmodel.2022.109934
6. Defining the Diurnal Pattern of Snowmelt Using a Beta Distribution Function R. Webb et al. https://doi.org/10.1111/1752-1688.12522
7. Integrating artificial intelligence and machine learning in hydrological modeling for sustainable resource management S. Marshall et al. https://doi.org/10.1080/15715124.2025.2478280
8. An Integrated Approach to Snowmelt Flood Forecasting in Water Resource Management S. Fang et al. https://doi.org/10.1109/TII.2013.2257807
9. Coupling a Regional Climate Model and a Distributed Hydrological Model to Assess Future Water Resources in Jinhua River Basin, East China Y. Xu et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001007
10. An integrated information system for snowmelt flood early-warning based on internet of things S. Fang et al. https://doi.org/10.1007/s10796-013-9466-1
11. Spatiotemporal Variability in Snow and Land Cover in Sefid-Rud Basin, Iran H. Entezami et al. https://doi.org/10.3390/su16219381
12. Calibrating a Hydrological Model by Stratifying Frozen Ground Types and Seasons in a Cold Alpine Basin Y. Zhao et al. https://doi.org/10.3390/w11050985
13. Uncertainty Analysis of SWAT Modeling in the Lancang River Basin Using Four Different Algorithms X. Tang et al. https://doi.org/10.3390/w13030341
14. Evaluation of Hydrological Application of CMADS in Jinhua River Basin, China Z. Zhou et al. https://doi.org/10.3390/w11010138
15. European Snow Cover Characteristics between 2000 and 2011 Derived from Improved MODIS Daily Snow Cover Products A. Dietz et al. https://doi.org/10.3390/rs4082432
16. Seasonal dynamics of suprapermafrost groundwater and its response to the freeing-thawing processes of soil in the permafrost region of Qinghai-Tibet Plateau J. Chang et al. https://doi.org/10.1007/s11430-014-5009-y
17. Evaluating Consistency of Snow Water Equivalent Retrievals from Passive Microwave Sensors over the North Central U. S.: SSM/I vs. SSMIS and AMSR-E vs. AMSR2 E. Cho et al. https://doi.org/10.3390/rs9050465
18. Analysis of seasonal snowmelt contribution using a distributed energy balance model for a river basin in the Altai Mountains of northwestern China X. Wu et al. https://doi.org/10.1002/hyp.14046
19. Deep Learning-Based Unmanned Surveillance Systems for Observing Water Levels J. Pan et al. https://doi.org/10.1109/ACCESS.2018.2883702
20. Snow Cover Response to Climatological Factors at the Beas River Basin of W. Himalayas from MODIS and ERA5 Datasets . Sunita et al. https://doi.org/10.3390/s23208387
21. Coupling a glacier melt model to the Variable Infiltration Capacity (VIC) model for hydrological modeling in north-western China Q. Zhao et al. https://doi.org/10.1007/s12665-012-1718-8
22. Analysis of snow cover and climatic variability in Bhaga basin located in western Himalaya . Snehmani et al. https://doi.org/10.1080/10106049.2015.1120350
23. High-Resolution Discharge Forecasting for Snowmelt and Rainfall Mixed Events T. Berezowski & A. Chybicki https://doi.org/10.3390/w10010056
24. Integration of Snowmelt Runoff Model (SRM) with GIS and Remote Sensing for Operational Forecasting in the Kırkgöze Watershed, Turkey S. Şenocak & R. Acar https://doi.org/10.3390/w18030335
25. Modeling streamflow sensitivity to climate warming and surface water inputs in a montane catchment K. Hale et al. https://doi.org/10.1016/j.ejrh.2021.100976
26. A hybrid model to simulate the annual runoff of the Kaidu River in northwest China J. Xu et al. https://doi.org/10.5194/hess-20-1447-2016
27. A Multivariate and Multistage Streamflow Prediction Model Based on Signal Decomposition Techniques with Deep Learning D. Yan et al. https://doi.org/10.2112/JCOASTRES-D-21-00011.1
28. A GIS-based modeling of snow accumulation and melt processes in the Votkinsk reservoir basin S. Pyankov et al. https://doi.org/10.1007/s11442-018-1469-x
29. The impact of forest‐controlled snow variability on late‐season streamflow varies by climatic region and forest structure W. Currier et al. https://doi.org/10.1002/hyp.14614
30. Streamflow Modelling: A Primer on Applications, Approaches and Challenges D. Bourdin et al. https://doi.org/10.1080/07055900.2012.734276
31. Spatiotemporal heterogeneity of suprapermafrost groundwater dynamic processes in the permafrost region of the Qinghai-Tibet Plateau C. Juan et al. https://doi.org/10.1016/j.catena.2024.107911
32. Snow cover area change and its relations with climatic variability in Kashmir Himalayas, India M. Shafiq et al. https://doi.org/10.1080/10106049.2018.1469675
33. Machine-Learning-Based Ensemble Prediction of the Snow Water Equivalent in the Upper Yalong River Basin J. Zhang et al. https://doi.org/10.3390/su17093779
34. Comparison of Deterministic and Probabilistic Variational Data Assimilation Methods Using Snow and Streamflow Data Coupled in HBV Model for Upper Euphrates Basin G. Uysal et al. https://doi.org/10.3390/geosciences13030089
35. Coupling the WRF model with a temperature index model based on remote sensing for snowmelt simulations in a river basin in the Altay Mountains, north‐west China X. Wu et al. https://doi.org/10.1002/hyp.10924
36. Snow cover variability in North-West Himalaya during last decade D. Singh et al. https://doi.org/10.1007/s12517-018-3926-3
37. Energy balance-based SWAT model to simulate the mountain snowmelt and runoff — taking the application in Juntanghu watershed (China) as an example X. Meng et al. https://doi.org/10.1007/s11629-014-3081-6
38. Modelling how vegetation cover affects climate change impacts on streamflow timing and magnitude in the snowmelt‐dominated upper Tuolumne Basin, Sierra Nevada N. Cristea et al. https://doi.org/10.1002/hyp.9909
39. Blending satellite‐based snow depth products with in situ observations for streamflow predictions in the Upper Colorado River Basin Y. Liu et al. https://doi.org/10.1002/2014WR016606
40. Global SnowPack: a new set of snow cover parameters for studying status and dynamics of the planetary snow cover extent A. Dietz et al. https://doi.org/10.1080/2150704X.2015.1084551
41. Use of Integrated Observations to Improve 0-36 h Flood Forecasting: Development and Application of a Coupled Atmosphere-Hydrology System in the Nanpan River Basin, China L. WANG et al. https://doi.org/10.2151/jmsj.2012-C09
42. Predicting glacio‐hydrologic change in the headwaters of the Zongo River, Cordillera Real, Bolivia C. Frans et al. https://doi.org/10.1002/2014WR016728
43. Operationalizing a flood forecasting decision support system for Ayeyarwady river, Myanmar A. Agarwal et al. https://doi.org/10.1080/15715124.2020.1738445
44. Investigating the efficacy of a new symmetric index of agreement for evaluating WRF simulated summer monsoon rainfall over northeast India A. Chakravorty et al. https://doi.org/10.1007/s00703-020-00761-2
45. Quantification of different flow components in a high-altitude glacierized catchment (Dudh Koshi, Himalaya): some cryospheric-related issues L. Mimeau et al. https://doi.org/10.5194/hess-23-3969-2019
46. Review article: Hydrological modeling in glacierized catchments of central Asia – status and challenges Y. Chen et al. https://doi.org/10.5194/hess-21-669-2017