12 citations as recorded by crossref.

1. Impact of model parameterization on predictive uncertainty of regional groundwater models in the context of environmental impact assessment T. Cui et al. 10.1016/j.eiar.2021.106620
2. A model-independent iterative ensemble smoother for efficient history-matching and uncertainty quantification in very high dimensions J. White 10.1016/j.envsoft.2018.06.009
3. Modeling and assessing water and nutrient balances in a tile-drained agricultural watershed in the U.S. Corn Belt D. Ren et al. 10.1016/j.watres.2021.117976
4. Enhanced calibration of a distributed hydrological model in the Brazilian Semi-Arid: integrating spatiotemporal evapotranspiration and streamflow data P. de Lima Ferreira & A. da Paz 10.1007/s12665-024-11663-6
5. A hybrid approach for integrated surface and subsurface hydrologic simulation of baseflow with Iterative Ensemble Smoother H. Delottier et al. 10.1016/j.jhydrol.2021.127406
6. Application of hydrological models in climate change framework for a river basin in India R. Vogeti et al. 10.2166/wcc.2023.188
7. Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model M. Demirel et al. 10.5194/hess-22-1299-2018
8. Disentangling environmental and economic contributions to hydro-economic model output uncertainty: An example in the context of land-use change impact assessment M. Knowling et al. 10.1016/j.envsoft.2020.104653
9. The impact of land use and climate change on surface runoff and groundwater in Cimanuk watershed, Indonesia I. Ridwansyah et al. 10.1007/s10201-020-00629-9
10. Hydrological Modeling in Agricultural Intensive Watershed: The Case of Upper East Fork White River, USA G. Bariamis & E. Baltas 10.3390/hydrology8030137
11. Loss of topsoil and soil erosion by water in agricultural areas: A multi-criteria approach for various land use scenarios in the Western Carpathians using a SWAT model W. Halecki et al. 10.1016/j.landusepol.2018.01.041
12. The importance of parameterization when simulating the hydrologic response of vegetative land-cover change J. White et al. 10.5194/hess-21-3975-2017