82 citations as recorded by crossref.

1. A global satellite-assisted precipitation climatology C. Funk et al. https://doi.org/10.5194/essd-7-275-2015
2. Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient U. Sepúlveda et al. https://doi.org/10.5194/hess-26-3419-2022
3. Modification of input datasets for the Ensemble Streamflow Prediction based on large-scale climatic indices and weather generator V. Šípek & J. Daňhelka https://doi.org/10.1016/j.jhydrol.2015.07.008
4. Seasonal streamflow forecasting by conditioning climatology with precipitation indices L. Crochemore et al. https://doi.org/10.5194/hess-21-1573-2017
5. Adapting subseasonal-to-seasonal (S2S) precipitation forecast at watersheds for hydrologic ensemble streamflow forecasting with a machine learning-based post-processing approach L. Zhang et al. https://doi.org/10.1016/j.jhydrol.2024.130643
6. The Forcing of Monthly Precipitation Variability over Southwest Asia during the Boreal Cold Season A. Hoell et al. https://doi.org/10.1175/JCLI-D-14-00757.1
7. Development and Evaluation of a Pan-European Multimodel Seasonal Hydrological Forecasting System N. Wanders et al. https://doi.org/10.1175/JHM-D-18-0040.1
8. GRACE Satellites Enable Long-Lead Forecasts of Mountain Contributions to Streamflow in the Low-Flow Season X. Liu et al. https://doi.org/10.3390/rs13101993
9. A hybrid framework for sub-seasonal to seasonal streamflow prediction: integrating numerical and statistical models L. Li et al. https://doi.org/10.1038/s41612-025-01273-9
10. Challenges of Operational River Forecasting T. Pagano et al. https://doi.org/10.1175/JHM-D-13-0188.1
11. An Evaluation of Model Output Statistics for Subseasonal Streamflow Forecasting in European Catchments S. Schick et al. https://doi.org/10.1175/JHM-D-18-0195.1
12. Hydrological drought forecasting and skill assessment for the Limpopo River basin, southern Africa P. Trambauer et al. https://doi.org/10.5194/hess-19-1695-2015
13. Analyzing the uncertainty of ensemble-based gridded observations in land surface simulations and drought assessment A. Ahmadalipour & H. Moradkhani https://doi.org/10.1016/j.jhydrol.2017.10.059
14. Verification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate R. Bazile et al. https://doi.org/10.5194/hess-21-5747-2017
15. Hydrological model application under data scarcity for multiple watersheds, Java Island, Indonesia . Yanto et al. https://doi.org/10.1016/j.ejrh.2016.09.007
16. An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US J. Blyverket et al. https://doi.org/10.3390/rs11050478
17. Quantifying Streamflow Forecast Skill Elasticity to Initial Condition and Climate Prediction Skill A. Wood et al. https://doi.org/10.1175/JHM-D-14-0213.1
18. An Efficient Approach for Estimating Streamflow Forecast Skill Elasticity L. Arnal et al. https://doi.org/10.1175/JHM-D-16-0259.1
19. Child health outcomes in sub-Saharan Africa: A comparison of changes in climate and socio-economic factors F. Davenport et al. https://doi.org/10.1016/j.gloenvcha.2017.04.009
20. Skilful seasonal streamflow forecasting using a fully coupled global climate model G. Narváez-Campo & C. Ardilouze https://doi.org/10.5194/hess-29-4739-2025
21. From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States A. Mucia et al. https://doi.org/10.3390/rs12122020
22. Predicting East African spring droughts using Pacific and Indian Ocean sea surface temperature indices C. Funk et al. https://doi.org/10.5194/hess-18-4965-2014
23. Long-range forecasts of UK winter hydrology C. Svensson et al. https://doi.org/10.1088/1748-9326/10/6/064006
24. Ensemble flood forecasting: Current status and future opportunities W. Wu et al. https://doi.org/10.1002/wat2.1432
25. Seasonal Forecasting of Global Hydrologic Extremes: System Development and Evaluation over GEWEX Basins X. Yuan et al. https://doi.org/10.1175/BAMS-D-14-00003.1
26. Monitoring and Predicting Agricultural Droughts for a Water-Limited Subcontinental Region by Integrating a Land Surface Model and Microwave Remote Sensing Y. Sawada et al. https://doi.org/10.1109/TGRS.2019.2927342
27. Predictability of daily streamflow for the great rivers of South America based on a simple metric I. Petry et al. https://doi.org/10.1080/02626667.2022.2139620
28. Factors responsible for consecutive deficit Indian monsoons during 2014 and 2015 M. Pradhan et al. https://doi.org/10.1007/s00704-020-03486-9
29. A seasonal agricultural drought forecast system for food-insecure regions of East Africa S. Shukla et al. https://doi.org/10.5194/hess-18-3907-2014
30. Seasonal local rainfall and hydrological forecasting for Limpopo communities – A pragmatic approach L. Graham et al. https://doi.org/10.1016/j.cliser.2022.100308
31. An Interannual Probabilistic Assessment of Subsurface Water Storage Over Europe Using a Fully Coupled Terrestrial Model C. Hartick et al. https://doi.org/10.1029/2020WR027828
32. A review on climate‐model‐based seasonal hydrologic forecasting: physical understanding and system development X. Yuan et al. https://doi.org/10.1002/wat2.1088
33. Linking climate change and health outcomes: Examining the relationship between temperature, precipitation and birth weight in Africa K. Grace et al. https://doi.org/10.1016/j.gloenvcha.2015.06.010
34. Carbon-Based Slow-Release Fertilizers for Efficient Nutrient Management: Synthesis, Applications, and Future Research Needs M. Rashid et al. https://doi.org/10.1007/s42729-021-00429-9
35. Towards ecohydrological drought monitoring and prediction using a land data assimilation system: A case study on the Horn of Africa drought (2010–2011) Y. Sawada & T. Koike https://doi.org/10.1002/2015JD024705
36. Managing living marine resources in a dynamic environment: The role of seasonal to decadal climate forecasts D. Tommasi et al. https://doi.org/10.1016/j.pocean.2016.12.011
37. Seasonal River Discharge Forecasting Using Support Vector Regression: A Case Study in the Italian Alps M. Callegari et al. https://doi.org/10.3390/w7052494
38. Benchmark decadal forecast skill for terrestrial water storage estimated by an elasticity framework E. Zhu et al. https://doi.org/10.1038/s41467-019-09245-3
39. Improving early warning of drought-driven food insecurity in southern Africa using operational hydrological monitoring and forecasting products S. Shukla et al. https://doi.org/10.5194/nhess-20-1187-2020
40. Multi-year predictability of climate, drought, and wildfire in southwestern North America Y. Chikamoto et al. https://doi.org/10.1038/s41598-017-06869-7
41. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. https://doi.org/10.1029/2020WR028392
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. Utility of Global Ensemble Forecast System (GEFS) Reforecast for Medium-Range Drought Prediction in India R. Shah & V. Mishra https://doi.org/10.1175/JHM-D-15-0050.1
44. Conditioning ensemble streamflow prediction with the North Atlantic Oscillation improves skill at longer lead times S. Donegan et al. https://doi.org/10.5194/hess-25-4159-2021
45. Development, implementation and validation of Sediment Transport and Erosion Prediction (STEP) model . Yanto & M. Dimyati https://doi.org/10.1016/j.envsoft.2023.105686
46. Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting J. Musuuza et al. https://doi.org/10.1029/2022WR033655
47. Quantifying multi-year hydrological memory with Catchment Forgetting Curves A. de Lavenne et al. https://doi.org/10.5194/hess-26-2715-2022
48. On the Dominant Factor Controlling Seasonal Hydrological Forecast Skill in China X. Zhang et al. https://doi.org/10.3390/w9110902
49. Seasonal drought predictability and forecast skill in the semi-arid endorheic Heihe River basin in northwestern China F. Ma et al. https://doi.org/10.5194/hess-22-5697-2018
50. Can Data Assimilation Improve Short-Term Prediction of Land Surface Variables? Y. Tian et al. https://doi.org/10.3390/rs14205172
51. Quantitative Analysis of the Uncertainty of Drought Process Simulation Based on Atmospheric–Hydrological Coupling in Different Climate Zones H. Xu et al. https://doi.org/10.3390/w15183286
52. Seasonal Soil Moisture Drought Prediction over Europe Using the North American Multi-Model Ensemble (NMME) S. Thober et al. https://doi.org/10.1175/JHM-D-15-0053.1
53. Panta Rhei 2013–2015: global perspectives on hydrology, society and change H. McMillan et al. https://doi.org/10.1080/02626667.2016.1159308
54. Seasonal drought ensemble predictions based on multiple climate models in the upper Han River Basin, China F. Ma et al. https://doi.org/10.1007/s00382-017-3577-1
55. Global meteorological drought – Part 2: Seasonal forecasts E. Dutra et al. https://doi.org/10.5194/hess-18-2669-2014
56. Predictability of Seasonal Streamflow and Soil Moisture in National Water Model and a Humid Alabama–Coosa–Tallapoosa River Basin Y. Duan & S. Kumar https://doi.org/10.1175/JHM-D-19-0206.1
57. A First Look at Decadal Hydrological Predictability by Land Surface Ensemble Simulations X. Yuan & E. Zhu https://doi.org/10.1002/2018GL077211
58. Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts L. Crochemore et al. https://doi.org/10.5194/hess-20-3601-2016
59. Reconstruction of droughts in India using multiple land-surface models (1951–2015) V. Mishra et al. https://doi.org/10.5194/hess-22-2269-2018
60. Fuzzy Postprocessing to Advance the Quality of Continental Seasonal Hydrological Forecasts for River Basin Management H. Macian-Sorribes et al. https://doi.org/10.1175/JHM-D-19-0266.1
61. Predicting hydrological drought at global scale: an analysis of the CEMS seasonal forecasts V. García-Gamero et al. https://doi.org/10.1007/s11069-025-07751-w
62. Skill Transfer from Meteorological to Runoff Forecasts in Glacierized Catchments S. Gindraux & D. Farinotti https://doi.org/10.3390/hydrology5020026
63. The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models M. Demirel et al. https://doi.org/10.5194/hess-19-275-2015
64. Monthly streamflow forecasting at varying spatial scales in the Rhine basin S. Schick et al. https://doi.org/10.5194/hess-22-929-2018
65. Hydrological monitoring and seasonal forecasting: Progress and perspectives Q. Tang et al. https://doi.org/10.1007/s11442-016-1306-z
66. Seasonal drought predictions in the Mediterranean using the SPEI index: Paving the way for their operational applicability in climate services S. Brands et al. https://doi.org/10.1016/j.cliser.2025.100555
67. Analyzing the sensitivity of drought recovery forecasts to land surface initial conditions C. DeChant & H. Moradkhani https://doi.org/10.1016/j.jhydrol.2014.10.021
68. An experimental seasonal hydrological forecasting system over the Yellow River basin – Part 1: Understanding the role of initial hydrological conditions X. Yuan et al. https://doi.org/10.5194/hess-20-2437-2016
69. Superensemble seasonal forecasting of soil moisture by NMME M. Yao & X. Yuan https://doi.org/10.1002/joc.5436
70. Catchment Storage and its Influence on Summer Low Flows in Central European Mountainous Catchments V. Šípek et al. https://doi.org/10.1007/s11269-021-02871-x
71. Seasonal streamflow forecasting in the upper Indus Basin of Pakistan: an assessment of methods S. Charles et al. https://doi.org/10.5194/hess-22-3533-2018
72. A general framework for multivariate multi-index drought prediction based on Multivariate Ensemble Streamflow Prediction (MESP) Z. Hao et al. https://doi.org/10.1016/j.jhydrol.2016.04.074
73. An agricultural drought index to incorporate the irrigation process and reservoir operations: A case study in the Tarim River Basin Z. Li et al. https://doi.org/10.1016/j.gloplacha.2016.05.008
74. Advancing catchment hydrology to deal with predictions under change U. Ehret et al. https://doi.org/10.5194/hess-18-649-2014
75. Attribution of hydrologic forecast uncertainty within scalable forecast windows L. Yang et al. https://doi.org/10.5194/hess-18-775-2014
76. The efficacy of seasonal terrestrial water storage forecasts for predicting vegetation activity over Africa B. Cook et al. https://doi.org/10.1175/JHM-D-21-0046.1
77. Assessing North American multimodel ensemble (NMME) seasonal forecast skill to assist in the early warning of anomalous hydrometeorological events over East Africa S. Shukla et al. https://doi.org/10.1007/s00382-016-3296-z
78. Assessment of the Long-Term Hydrological Forecast Skill Evolution across Lead-Times within the Ensemble Streamflow Prediction Framework V. Moreido https://doi.org/10.1134/S009780781805038X
79. Linking interannual river flow river variability across New Zealand to the Southern Annular Mode, 1979–2011 N. Li & G. McGregor https://doi.org/10.1002/hyp.11184
80. Developing an intelligent expert system for streamflow prediction, integrated in a dynamic decision support system for managing multiple reservoirs: A case study H. Zamani Sabzi et al. https://doi.org/10.1016/j.eswa.2017.04.039
81. The Hydrologic Effects of Synchronous El Niño–Southern Oscillation and Subtropical Indian Ocean Dipole Events over Southern Africa A. Hoell et al. https://doi.org/10.1175/JHM-D-16-0294.1
82. Seasonal Drought Prediction: Advances, Challenges, and Future Prospects Z. Hao et al. https://doi.org/10.1002/2016RG000549