12 citations as recorded by crossref.

1. Conditioning a multiple‐patch SVAT Model using uncertain time‐space estimates of latent heat fluxes as inferred from remotely sensed data S. Franks & K. Beven https://doi.org/10.1029/1999WR900108
2. Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system K. Beven https://doi.org/10.1002/hyp.343
3. Constraining Land Surface and Atmospheric Parameters of a Locally Coupled Model Using Observational Data Y. Liu et al. https://doi.org/10.1175/JHM407.1
4. Linking GCMs and surface hydrology: the challenge of spatial scale D. BOER https://doi.org/10.1111/j.1541-0064.2001.tb01170.x
5. Automatic Regionalization of Model Parameters for Hydrological Models M. Feigl et al. https://doi.org/10.1029/2022WR031966
6. Impacts of Spatial Partitioning in Hydroecological Models: Predicting Grassland Productivity with RHESSys S. Mitchell et al. https://doi.org/10.1111/j.1467-9671.2005.00225.x
7. A dynamic TOPMODEL K. Beven & J. Freer https://doi.org/10.1002/hyp.252
8. A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index B. Duchemin et al. https://doi.org/10.1016/j.envsoft.2007.10.003
9. The Predictive Uncertainty of Land Surface Fluxes in Response to Increasing Ambient Carbon Dioxide K. Schulz et al. https://doi.org/10.1175/1520-0442(2001)014<2551:TPUOLS>2.0.CO;2
10. Integrating Remote Sensing and Ground Methods to Estimate Evapotranspiration E. Glenn et al. https://doi.org/10.1080/07352680701402503
11. Calibration of a distributed hydrology and land surface model using energy flux measurements M. Larsen et al. https://doi.org/10.1016/j.agrformet.2015.11.012
12. Parameter estimation and regionalization for continuous rainfall-runoff models including uncertainty T. Wagener & H. Wheater https://doi.org/10.1016/j.jhydrol.2005.07.015