59 citations as recorded by crossref.

1. Long-term ensemble forecast of snowmelt inflow into the Cheboksary Reservoir under two different weather scenarios A. Gelfan et al. https://doi.org/10.5194/hess-22-2073-2018
2. Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation T. Lahmers et al. https://doi.org/10.1038/s41598-023-30484-4
3. Beyond Deterministic Forecasts: A Scoping Review of Probabilistic Uncertainty Quantification in Short-to-Seasonal Hydrological Prediction D. De León Pérez et al. https://doi.org/10.3390/w17202932
4. A data-assimilated SEAS5 forecasting framework for seasonal hydropower inflows in a snow-dominated basin G. Uysal et al. https://doi.org/10.1016/j.jhydrol.2026.135279
5. Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed D. Casson et al. https://doi.org/10.5194/hess-22-4685-2018
6. Runoff response to the uncertainty from key water-budget variables in a seasonally snow-covered mountain basin G. Cui et al. https://doi.org/10.1016/j.ejrh.2023.101601
7. The role of probabilistic precipitation forecasts in hydrologic predictability S. Seo & J. Sung https://doi.org/10.1007/s00704-020-03273-6
8. The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset C. Alvarez-Garreton et al. https://doi.org/10.5194/hess-22-5817-2018
9. Assimilating snow observations to snow interception process simulations Z. Lv & J. Pomeroy https://doi.org/10.1002/hyp.13720
10. Assimilation of blended in situ-satellite snow water equivalent into the National Water Model for improving hydrologic simulation in two US river basins Y. Gan et al. https://doi.org/10.1016/j.scitotenv.2022.156567
11. Implications of observation-enhanced energy-balance snowmelt simulations for runoff modeling of Alpine catchments N. Griessinger et al. https://doi.org/10.1016/j.advwatres.2019.103410
12. Subseasonal to seasonal streamflow forecasting in a semiarid watershed P. Broxton et al. https://doi.org/10.1111/1752-1688.13147
13. Advancing Sub-Seasonal to Seasonal Streamflow Forecasting in Canada: A Review of Conventional and Emerging Approaches for Operational Applications D. Nguyen et al. https://doi.org/10.1016/j.rineng.2025.106345
14. A particle filter scheme for multivariate data assimilation into a point-scale snowpack model in an Alpine environment G. Piazzi et al. https://doi.org/10.5194/tc-12-2287-2018
15. Assimilation of NASA's Airborne Snow Observatory Snow Measurements for Improved Hydrological Modeling: A Case Study Enabled by the Coupled LIS/WRF‐Hydro System T. Lahmers et al. https://doi.org/10.1029/2021WR029867
16. GEE can prominently reduce uncertainties from input data and parameters of the remote sensing-driven distributed hydrological model Z. Pan et al. https://doi.org/10.1016/j.scitotenv.2023.161852
17. A seasonal algorithm of the snow-covered area fraction for mountainous terrain N. Helbig et al. https://doi.org/10.5194/tc-15-4607-2021
18. A New Water Level Prediction Model for Open-channel Water Transfer Projects with Pumping Stations Based on KNN-ENKF P. Yan et al. https://doi.org/10.14796/JWMM.C583
19. An extension of data assimilation into the short-term hydrologic forecast for improved prediction reliability J. Leach & P. Coulibaly https://doi.org/10.1016/j.advwatres.2019.103443
20. Why does snowmelt-driven streamflow response to warming vary? A data-driven review and predictive framework B. Gordon et al. https://doi.org/10.1088/1748-9326/ac64b4
21. Flood early warning system with data assimilation enables site-level forecasting of bridge impacts J. Oh & M. Bartos https://doi.org/10.1038/s44304-025-00116-0
22. Operational Seasonal Water Supply and Water Level Forecasting for the Laurentian Great Lakes L. Fry et al. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001214
23. Sequential and batch data assimilation approaches to cope with groundwater model error: An empirical evaluation K. Markovich et al. https://doi.org/10.1016/j.envsoft.2022.105498
24. Learning to filter: snow data assimilation using a Long Short-Term Memory network G. Blandini et al. https://doi.org/10.5194/tc-19-4759-2025
25. The Multiple Snow Data Assimilation System (MuSA v1.0) E. Alonso-González et al. https://doi.org/10.5194/gmd-15-9127-2022
26. Exploratory studies into seasonal flow forecasting potential for large lakes K. Sene et al. https://doi.org/10.5194/hess-22-127-2018
27. Development of a copula‐based particle filter (CopPF) approach for hydrologic data assimilation under consideration of parameter interdependence Y. Fan et al. https://doi.org/10.1002/2016WR020144
28. A Snow Water Equivalent Retrieval Framework Coupling 1D Hydrology and Passive Microwave Radiative Transfer Models Y. Cao et al. https://doi.org/10.3390/rs16101732
29. Application of Parameter Screening to Derive Optimal Initial State Adjustments for Streamflow Forecasting J. Mai et al. https://doi.org/10.1029/2020WR027960
30. Role of forcing uncertainty and background model error characterization in snow data assimilation S. Kumar et al. https://doi.org/10.5194/hess-21-2637-2017
31. Advancing snow data assimilation with a dynamic observation uncertainty D. Dunmire et al. https://doi.org/10.5194/tc-20-609-2026
32. An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. https://doi.org/10.1029/2022MS003259
33. Assessing the impact of distributed snow water equivalent calibration and assimilation of Copernicus snow water equivalent on modelled snow and streamflow performance A. Beaton et al. https://doi.org/10.1002/hyp.15075
34. The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang https://doi.org/10.3390/w11081615
35. An Enkf-Based Scheme for Snow Multivariable Data Assimilation at an Alpine Site G. Piazzi et al. https://doi.org/10.2478/johh-2018-0013
36. Efficient treatment of climate data uncertainty in ensemble Kalman filter (EnKF) based on an existing historical climate ensemble dataset H. Liu et al. https://doi.org/10.1016/j.jhydrol.2018.11.047
37. Improving monthly streamflow forecasts through assimilation of observed streamflow for rainfall-dominated basins across the CONUS A. Mazrooei & A. Sankarasubramanian https://doi.org/10.1016/j.jhydrol.2019.05.071
38. Assimilation of Ground and Satellite Snow Observations in a Distributed Hydrologic Model for Water Supply Forecasting P. Micheletty et al. https://doi.org/10.1111/1752-1688.12975
39. Storylines of summer streamflow droughts in western Canadian watersheds: historical attribution and future projections R. Shrestha & A. Cannon https://doi.org/10.1038/s44304-026-00204-9
40. Assessing 32-Day Hydrological Ensemble Forecasts in the Lake Champlain–Richelieu River Watershed M. Abaza et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001983
41. Probabilistic Spatial Meteorological Estimates for Alaska and the Yukon A. Newman et al. https://doi.org/10.1029/2020JD032696
42. Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. https://doi.org/10.5194/hess-25-1189-2021
43. Arctic climate and snow cover trends – Comparing Global Circulation Models with remote sensing observations D. Eythorsson et al. https://doi.org/10.1016/j.jag.2019.04.003
44. 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
45. An intercomparison of approaches for improving operational seasonal streamflow forecasts P. Mendoza et al. https://doi.org/10.5194/hess-21-3915-2017
46. Data Assimilation Improves Estimates of Climate-Sensitive Seasonal Snow M. Girotto et al. https://doi.org/10.1007/s40641-020-00159-7
47. Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey J. Helmert et al. https://doi.org/10.3390/geosciences8120489
48. Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction M. El Gharamti et al. https://doi.org/10.5194/hess-28-3133-2024
49. The effect of hydrological model structure on spring flow forecasts when assimilating a distributed snow product S. Farhoodi et al. https://doi.org/10.1080/07011784.2024.2434517
50. An Enriched Prediction Intervals Construction Method with Hybrid Intelligent Optimization J. Lu et al. https://doi.org/10.1155/2018/4893617
51. Fractional snow-covered area: scale-independent peak of winter parameterization N. Helbig et al. https://doi.org/10.5194/tc-15-615-2021
52. Applicability Assessment and Uncertainty Analysis of Multi-Precipitation Datasets for the Simulation of Hydrologic Models B. Guo et al. https://doi.org/10.3390/w10111611
53. Assimilation of near-real time data products into models of an urban basin J. Leach et al. https://doi.org/10.1016/j.jhydrol.2018.05.064
54. Snow depth estimation and historical data reconstruction over China based on a random forest machine learning approach J. Yang et al. https://doi.org/10.5194/tc-14-1763-2020
55. A station-based 0.1-degree daily gridded ensemble precipitation dataset for India A. Peringiyil et al. https://doi.org/10.1038/s41597-025-04474-2
56. Pattern-based downscaling of snowpack variability in the western United States N. Gauthier et al. https://doi.org/10.1007/s00382-021-06094-z
57. Toward Snow Cover Estimation in Mountainous Areas Using Modern Data Assimilation Methods: A Review C. Largeron et al. https://doi.org/10.3389/feart.2020.00325
58. Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. https://doi.org/10.5194/hess-27-4385-2023
59. Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness? D. Birhanu et al. https://doi.org/10.3390/su10082837