65 citations as recorded by crossref.

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5. Enhancing urban runoff modelling using water stable isotopes and ages in complex catchments A. Smith et al. https://doi.org/10.1002/hyp.14814
6. Integrating Tracers and Soft Data Into Multi‐Criteria Calibration: Implications From Distributed Modeling in a Riparian Wetland S. Wu et al. https://doi.org/10.1029/2023WR035509
7. Using stable water isotopes to understand ecohydrological partitioning under contrasting land uses in a drought‐sensitive rural, lowland catchment J. Landgraf et al. https://doi.org/10.1002/hyp.14779
8. Effects of 66 years of water management and hydroclimatic change on the urban hydrology and water quality of the Panke catchment, Berlin, Germany C. Marx et al. https://doi.org/10.1016/j.scitotenv.2023.165764
9. Impact of drought hazards on flow regimes in anthropogenically impacted streams: an isotopic perspective on climate stress M. Warter et al. https://doi.org/10.5194/nhess-24-3907-2024
10. Divergent evolution of nitrogen cycling along gradients of landscape water velocities S. Wu et al. https://doi.org/10.1126/science.aed0399
11. Short water transit times determine the fate of veterinary pharmaceuticals in lowland catchments N. Rakonjac et al. https://doi.org/10.1016/j.jconhyd.2025.104704
12. Disentangling the Influence of Landscape Characteristics, Hydroclimatic Variability and Land Management on Surface Water NO3‐N Dynamics: Spatially Distributed Modeling Over 30 yr in a Lowland Mixed Land Use Catchment S. Wu et al. https://doi.org/10.1029/2021WR030566
13. Exploring impacts of forest management strategies on water partitioning in a drought-sensitive catchment using a tracer-aided ecohydrological framework C. Jiang et al. https://doi.org/10.5194/hess-30-3715-2026
14. Using stable isotopes to inform water resource management in forested and agricultural ecosystems F. Scandellari et al. https://doi.org/10.1016/j.jenvman.2024.121381
15. Catchment structure and functioning mediates beaver activity in contrasting lowland agricultural landscapes M. Warter et al. https://doi.org/10.1002/eap.70335
16. Identifying Dominant Processes in Time and Space: Time‐Varying Spatial Sensitivity Analysis for a Grid‐Based Nitrate Model S. Wu et al. https://doi.org/10.1029/2021WR031149
17. Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐Scale C. Yang et al. https://doi.org/10.1029/2022MS003507
18. DREAM(LoAX): Simultaneous Calibration and Diagnosis for Tracer‐Aided Ecohydrological Models Under the Equifinality Thesis S. Wu et al. https://doi.org/10.1029/2024WR038779
19. Ecohydrological resilience and the landscape water storage continuum in droughts D. Tetzlaff et al. https://doi.org/10.1038/s44221-024-00300-y
20. Predictive mapping of soil texture using vis–NIR spectroscopy and machine learning in semi-arid Eastern Mediterranean Y. Turgut & Y. Koca https://doi.org/10.1016/j.asr.2026.04.065
21. Seasonal variations in soil–plant interactions in contrasting urban green spaces: Insights from water stable isotopes C. Marx et al. https://doi.org/10.1016/j.jhydrol.2022.127998
22. Using isotopes to understand landscape‐scale connectivity in a groundwater‐dominated, lowland catchment under drought conditions L. Kleine et al. https://doi.org/10.1002/hyp.14197
23. On (in)validating environmental models. 1. Principles for formulating a Turing‐like Test for determining when a model is fit‐for purpose K. Beven & S. Lane https://doi.org/10.1002/hyp.14704
24. EcoTWIN 1.0: a fully distributed tracer-aided ecohydrological model tracking water, isotopes, and nutrients S. Wu et al. https://doi.org/10.5194/gmd-19-2257-2026
25. Variability of evapotranspiration fluxes affected by dry and wet year transitions in beech, pine and mixed stands in the lowland of northeast Germany Y. Liu et al. https://doi.org/10.1016/j.agrformet.2025.110771
26. Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions I. Özgen-Xian et al. https://doi.org/10.1038/s41598-023-31925-w
27. Improved understanding of vegetation dynamics and wetland ecohydrology via monthly UAV‐based classification S. Wu et al. https://doi.org/10.1002/hyp.14988
28. Integrated monitoring and modeling to disentangle the complex spatio-temporal dynamics of urbanized streams under drought stress G. López Moreira Mazacotte et al. https://doi.org/10.1007/s10661-024-12666-3
29. Effects of streamflow isotope sampling strategies on the calibration of a tracer‐aided rainfall‐runoff model J. Stevenson et al. https://doi.org/10.1002/hyp.14223
30. Time variable effectiveness and cost-benefits of different nature-based solution types and design for drought and flood management J. Fennell et al. https://doi.org/10.1016/j.nbsj.2023.100050
31. A positive phase of the winter North Atlantic oscillation is associated with drought in Central Europe the following summer C. Jiang et al. https://doi.org/10.1038/s43247-026-03729-z
32. Hydrological connectivity and biogeochemical dynamics in the function and management of the lower Oder floodplain H. Zheng et al. https://doi.org/10.1016/j.jhydrol.2025.132708
33. A longer‐term perspective on soil moisture, groundwater and stream flow response to the 2018 drought in an experimental catchment in the Scottish Highlands C. Soulsby et al. https://doi.org/10.1002/hyp.14206
34. Evaluating satellite-derived soil moisture data for improving the internal consistency of process-based ecohydrological modelling D. Duethmann et al. https://doi.org/10.1016/j.jhydrol.2022.128462
35. Evaluating input data sources for isotope‐enabled rainfall‐runoff models A. Watson et al. https://doi.org/10.1002/hyp.15276
36. Comparative ecological responses to cloud seeding in three forested basins of South Korea C. Yoo et al. https://doi.org/10.3389/ffgc.2025.1639721
37. Long-term drought effects on landscape water storage and recovery under contrasting landuses S. Luo et al. https://doi.org/10.1016/j.jhydrol.2024.131339
38. Importance of measured transpiration fluxes for modelled ecohydrological partitioning in a tropical agroforestry system C. Birkel et al. https://doi.org/10.1016/j.agrformet.2023.109870
39. Quantifying intra‐ and inter‐annual dynamics of river‐floodplain connectivity and wetland inundation with remote sensing and wavelet analysis H. Zheng et al. https://doi.org/10.1002/hyp.15137
40. Reproducing surface water isoscapes of δ18O and δ2H across China: A machine learning approach H. Wu et al. https://doi.org/10.1016/j.jhydrol.2024.131565
41. Quantifying nitrogen loss responses to seasonal deluges and droughts: A modeling study in a subtropical agro-forest catchment, upper Yangtze River W. Zhang et al. https://doi.org/10.1016/j.ecohyd.2025.100706
42. Integrated ecohydrological hydrometric and stable water isotope data of a drought-sensitive mixed land use lowland catchment D. Tetzlaff et al. https://doi.org/10.5194/essd-15-1543-2023
43. Tracer‐aided ecohydrological modelling across climate, land cover, and topographical gradients in the tropics S. Arciniega‐Esparza et al. https://doi.org/10.1002/hyp.14884
44. Modelling ecohydrological feedbacks in forest and grassland plots under a prolonged drought anomaly in Central Europe 2018–2020 L. Kleine et al. https://doi.org/10.1002/hyp.14325
45. Structural changes to forests during regeneration affect water flux partitioning, water ages and hydrological connectivity: Insights from tracer-aided ecohydrological modelling A. Neill et al. https://doi.org/10.5194/hess-25-4861-2021
46. Assessing the sensitivity of urban aquatic nature-based solutions to hydroclimate variability using stable water isotopes M. Warter et al. https://doi.org/10.1007/s10661-025-14882-x
47. Linking terrestrial biogeochemical processes and water ages to catchment water quality: A new Damköhler analysis based on coupled modeling of isotope tracers and nitrate dynamics X. Yang et al. https://doi.org/10.1016/j.watres.2024.122118
48. Visualizing catchment‐scale spatio‐temporal dynamics of storage‐flux‐age interactions using a tracer‐aided ecohydrological model A. Smith et al. https://doi.org/10.1002/hyp.14460
49. Improving process-consistency of an ecohydrological model through inclusion of spatial patterns of satellite-derived land surface temperature D. Duethmann et al. https://doi.org/10.1016/j.jhydrol.2023.130433
50. Synoptic water isotope surveys to understand the hydrology of large intensively managed catchments K. Chen et al. https://doi.org/10.1016/j.jhydrol.2023.129817
51. Using water age to explore hydrological processes in contrasting environments G. Botter et al. https://doi.org/10.1002/hyp.14524
52. Impact of the North Sea–Caspian pattern on meteorological drought and vegetation response over diverging environmental systems in western Eurasia Q. He et al. https://doi.org/10.1002/eco.2446
53. Regional heterogeneity in water pollution risk-economic development dynamics: a grid-scale analysis and impact factor exploration in China Y. Ding et al. https://doi.org/10.1080/10807039.2025.2609617
54. Estimates of water partitioning in complex urban landscapes with isotope‐aided ecohydrological modelling M. Gillefalk et al. https://doi.org/10.1002/hyp.14532
55. Upscaling Tracer‐Aided Ecohydrological Modeling to Larger Catchments: Implications for Process Representation and Heterogeneity in Landscape Organization X. Yang et al. https://doi.org/10.1029/2022WR033033
56. Hydrological connectivity drives intra- and inter-annual variation in water quality in an intermittent stream network in a mixed land use catchment under drought F. Wang et al. https://doi.org/10.1016/j.jhydrol.2024.132420
57. Enhancing process interpretation with isotopes: potential discharge-isotope trade-offs in ecohydrological modelling of heavily managed lowland catchments H. Zheng et al. https://doi.org/10.5194/hess-30-1143-2026
58. Isotope hydrology and water sources in a heavily urbanized stream C. Marx et al. https://doi.org/10.1002/hyp.14377
59. Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al. https://doi.org/10.1002/hyp.14463
60. The Age of Evapotranspiration: Lower‐Bound Constraints From Distributed Water Fluxes Across the Continental United States W. Hahm et al. https://doi.org/10.1029/2022WR032961
61. Quantifying the effects of urban green space on water partitioning and ages using an isotope-based ecohydrological model M. Gillefalk et al. https://doi.org/10.5194/hess-25-3635-2021
62. Quantifying the impacts of climate change and fruit tree expansion on water retention in a sub-tropical watershed Y. Sun et al. https://doi.org/10.1016/j.jclepro.2025.147146
63. Assessing land use effects on ecohydrological partitioning in the critical zone through isotope‐aided modelling J. Landgraf et al. https://doi.org/10.1002/esp.5691
64. Modelling temporal variability of in situ soil water and vegetation isotopes reveals ecohydrological couplings in a riparian willow plot A. Smith et al. https://doi.org/10.5194/bg-19-2465-2022
65. Quantifying heterogeneity in ecohydrological partitioning in urban green spaces through the integration of empirical and modelling approaches J. Stevenson et al. https://doi.org/10.1007/s10661-023-11055-6