37 citations as recorded by crossref.

1. Spatiotemporal Variability of Modeled Watershed Scale Surface‐Depression Storage and Runoff for the Conterminous United States J. Driscoll et al. 10.1111/1752-1688.12826
2. Hydrologic impacts of climate change in relation to Ontario’s source water protection planning program T. Livingston et al. 10.1139/cjce-2019-0649
3. Global Sensitivity of Simulated Water Balance Indicators Under Future Climate Change in the Colorado Basin K. Bennett et al. 10.1002/2017WR020471
4. A new multi-model absolute difference-based sensitivity (MMADS) analysis method to screen non-influential processes under process model and parametric uncertainty J. Yang & M. Ye 10.1016/j.jhydrol.2022.127609
5. Process Interactions Can Change Process Ranking in a Coupled Complex System Under Process Model and Parametric Uncertainty J. Yang et al. 10.1029/2021WR029812
6. PRMS-Python: A Python framework for programmatic PRMS modeling and access to its data structures J. Volk & M. Turner 10.1016/j.envsoft.2019.01.006
7. Making the most out of a hydrological model data set: Sensitivity analyses to open the model black-box E. Borgonovo et al. 10.1002/2017WR020767
8. Spatiotemporal Variability of Snow Depletion Curves Derived from SNODAS for the Conterminous United States, 2004-2013 J. Driscoll et al. 10.1111/1752-1688.12520
9. A new process sensitivity index to identify important system processes under process model and parametric uncertainty H. Dai et al. 10.1002/2016WR019715
10. Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey P. Van Metre et al. 10.1007/s10661-020-08403-1
11. The Abuse of Popular Performance Metrics in Hydrologic Modeling M. Clark et al. 10.1029/2020WR029001
12. Climate elasticity of evapotranspiration shifts the water balance of Mediterranean climates during multi-year droughts F. Avanzi et al. 10.5194/hess-24-4317-2020
13. Calibration of the US Geological Survey National Hydrologic Model in Ungauged Basins Using Statistical At-Site Streamflow Simulations W. Farmer et al. 10.1061/(ASCE)HE.1943-5584.0001854
14. Calibration of a hydrologic model in data-scarce Alaska using satellite and other gridded products K. Schneider & T. Hogue 10.1016/j.ejrh.2021.100979
15. Quantifying uncertainty in simulated streamflow and runoff from a continental-scale monthly water balance model A. Bock et al. 10.1016/j.advwatres.2018.10.005
16. Leveraging ensemble meteorological forcing data to improve parameter estimation of hydrologic models H. Liu et al. 10.1002/hyp.14410
17. Changes in Climate and Land Cover Affect Seasonal Streamflow Forecasts in the Rio Grande Headwaters C. Penn et al. 10.1111/1752-1688.12863
18. Runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model G. Sexstone et al. 10.1002/hyp.13735
19. A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data R. Sheikholeslami & S. Razavi 10.1029/2020GL089829
20. Optimizing spatial distribution of watershed-scale hydrologic models using Gaussian Mixture Models T. Maurer et al. 10.1016/j.envsoft.2021.105076
21. On the Sensitivity of the Precipitation Partitioning Into Evapotranspiration and Runoff in Land Surface Parameterizations H. Zheng et al. 10.1029/2017WR022236
22. Modelling surface-water depression storage in a Prairie Pothole Region L. Hay et al. 10.1002/hyp.11416
23. Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study S. Pool et al. 10.1029/2021WR030437
24. Sensitivity Analysis‐Based Automatic Parameter Calibration of the VIC Model for Streamflow Simulations Over China J. Gou et al. 10.1029/2019WR025968
25. Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana M. Vanderhoof et al. 10.5194/hess-23-4269-2019
26. Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems J. Hunter et al. 10.5194/hess-22-2987-2018
27. Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set L. Santos et al. 10.1080/02626667.2022.2035388
28. Analysing spatio-temporal process and parameter dynamics in models to characterise contrasting catchments B. Guse et al. 10.1016/j.jhydrol.2018.12.050
29. Conceptual Framework of Connectivity for a National Agroecosystem Model Based on Transport Processes and Management Practices J. Arnold et al. 10.1111/1752-1688.12890
30. Estimation of Base Flow by Optimal Hydrograph Separation for the Conterminous United States and Implications for National-Extent Hydrologic Models S. Foks et al. 10.3390/w11081629
31. Information content of spatially distributed ground-based measurements for hydrologic-parameter calibration in mixed rain-snow mountain headwaters F. Avanzi et al. 10.1016/j.jhydrol.2019.124478
32. Identifying sensitivities in flood frequency analyses using a stochastic hydrologic modeling system A. Newman et al. 10.5194/hess-25-5603-2021
33. The U. S. Geological Survey National Hydrologic Model infrastructure: Rationale, description, and application of a watershed-scale model for the conterminous United States R. Regan et al. 10.1016/j.envsoft.2018.09.023
34. Baseline Conditions and Projected Future Hydro-Climatic Change in National Parks in the Conterminous United States W. Battaglin et al. 10.3390/w12061704
35. VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes R. Sheikholeslami et al. 10.1029/2020WR028435
36. The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
37. Runoff Modeling of a Coastal Basin to Assess Variations in Response to Shifting Climate and Land Use: Implications for Managed Recharge S. Beganskas et al. 10.1007/s11269-019-2197-4