38 citations as recorded by crossref.

1. Knowledge gaps in our perceptual model of Great Britain's hydrology T. Wagener et al. https://doi.org/10.1002/hyp.14288
2. Technical note: Streamflow seasonality using directional statistics W. Berghuijs et al. https://doi.org/10.5194/hess-29-2851-2025
3. Landscape metrics selection and influence over hydrological signatures: land use change’s effect over water resources in Chile L. Henriquez-Dole et al. https://doi.org/10.3389/fenvs.2025.1569574
4. Interpretable WTConv1D-BiLSTM monthly-scale precipitation prediction model based on novel multilevel and multi-scale decomposition M. Wang et al. https://doi.org/10.1016/j.atmosres.2026.108948
5. ADHI: the African Database of Hydrometric Indices (1950–2018) Y. Tramblay et al. https://doi.org/10.5194/essd-13-1547-2021
6. Exploring the role of hydrological pathways in modulating multi-annual climate teleconnection periodicities from UK rainfall to streamflow W. Rust et al. https://doi.org/10.5194/hess-25-2223-2021
7. Seasonal patterns and hydrological regulations of root zone storage capacity across United States S. Du et al. https://doi.org/10.1016/j.agrformet.2025.110428
8. Assessment of water availability vulnerability in the Cerrado D. Althoff et al. https://doi.org/10.1007/s13201-021-01521-2
9. Calibrating a model of depth to water table using Fourier series and Simpson numerical integration K. Wang et al. https://doi.org/10.1016/j.jhydrol.2023.129516
10. Nonstationary Seasonal Design Flood Estimation: Exploring Mixed Copulas for the Nonmonotonic Dependence between Peak Discharge and Timing W. Li et al. https://doi.org/10.1061/JHYEFF.HEENG-6043
11. Regional process-based analysis of trends in flood peaks and volumes using hourly data Y. Tramblay et al. https://doi.org/10.1016/j.jhydrol.2026.135949
12. Soil drainage modulates climate effects to shape seasonal and mean annual water balances across the southeastern United States Z. Wang et al. https://doi.org/10.1002/hyp.15214
13. Continental-scale prediction of hydrologic signatures and processes R. Araki et al. https://doi.org/10.5194/hess-30-3647-2026
14. Nonstationary Streamflow Variability and Climate Drivers in the Amur and Yangtze River Basins: A Comparative Perspective Under Climate Change Q. Ma et al. https://doi.org/10.3390/w17152339
15. Impacts of El Niño–southern oscillation on global runoff: Characteristic signatures and potential mechanisms Y. You et al. https://doi.org/10.1002/hyp.14367
16. TOSSH: A Toolbox for Streamflow Signatures in Hydrology S. Gnann et al. https://doi.org/10.1016/j.envsoft.2021.104983
17. Variability in Time and Space: Flow Regimes and Seasonality Indices in the Mountainous Rivers of Northern Iran R. Mostafazadeh et al. https://doi.org/10.1002/rra.70016
18. When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias P. Astagneau et al. https://doi.org/10.1080/02626667.2021.1923720
19. Testing Soil Moisture Performance Measures in the Conceptual‐Functional Equivalent to the WRF‐Hydro National Water Model R. Araki et al. https://doi.org/10.1111/1752-1688.70002
20. Spatiotemporal changes in river flow seasonality and predictability using Colwell indices in Northwestern Iran P. Momenian et al. https://doi.org/10.1038/s41598-025-33205-1
21. Hydrologic and environmental thresholds in stream fish assemblage structure across flow regimes J. Fox & D. Magoulick https://doi.org/10.1016/j.ecolind.2022.109500
22. QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany P. Ebeling et al. https://doi.org/10.5194/essd-14-3715-2022
23. Controls on watershed flashiness across the continental US J. Gannon et al. https://doi.org/10.1016/j.jhydrol.2022.127713
24. Reliance on daily mean streamflow data biases inferred flood seasonality B. Anderson et al. https://doi.org/10.1088/1748-9326/ae8e90
25. Harmonization of aggregated freshwater biotic data to support continental and global assessment J. Lento et al. https://doi.org/10.1371/journal.pwat.0000502
26. Quantifying Predictability and Information Transfer in Rainfall-Runoff Process C. Di et al. https://doi.org/10.1007/s11269-025-04431-z
27. A review of hydrologic signatures and their applications H. McMillan https://doi.org/10.1002/wat2.1499
28. An approximate analytical solution of depth to water table driven by periodical precipitation and evapotranspiration in shallow groundwater zones X. Guo et al. https://doi.org/10.1016/j.advwatres.2021.104012
29. A framework for attributing runoff changes based on a monthly water balance model: An assessment across China Y. He et al. https://doi.org/10.1016/j.jhydrol.2022.128606
30. Environmental flows: issues and gaps—a critical analysis C. Bhuiyan https://doi.org/10.1007/s11625-022-01092-4
31. Development of web‐based hydrograph analysis tool considering seasonality and flow condition D. Yang et al. https://doi.org/10.1111/1752-1688.13178
32. Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning H. Ji et al. https://doi.org/10.1038/s41467-025-64367-1
33. Uncovering the impact of catchment attributes in regionalized models through explainable artificial intelligence X. Kong et al. https://doi.org/10.1016/j.ejrh.2026.103913
34. The Roles of Climate Forcing and Its Variability on Streamflow at Daily, Monthly, Annual, and Long‐Term Scales L. Yao et al. https://doi.org/10.1029/2020WR027111
35. Fish beta diversity associated with hydrologic and anthropogenic disturbance gradients in contrasting stream flow regimes J. Fox & D. Magoulick https://doi.org/10.1016/j.scitotenv.2024.173825
36. Storage variability controls seasonal runoff generation in catchments at the threshold between energy and water limitation E. Grande et al. https://doi.org/10.1002/hyp.14697
37. A non-stationary estimation scheme for instream ecological flows under changing environment X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.133799
38. Long‐Term Nitrate Trajectories Vary by Season in Western European Catchments P. Ebeling et al. https://doi.org/10.1029/2021GB007050