24 citations as recorded by crossref.

1. Modeling crop growth and land surface energy fluxes in wheat–maize double cropping system in the North China Plain F. Liu et al. 10.1007/s00704-020-03353-7
2. The use of a shuffled complex evolution algorithm for calibration of a dynamic leaf emergence model leads to better spatial ETa predictions M. Heuer et al. 10.2166/nh.2025.180
3. MODIS Evapotranspiration Downscaling Using a Deep Neural Network Trained Using Landsat 8 Reflectance and Temperature Data X. Che et al. 10.3390/rs14225876
4. Evaluation of a regional crop model implementation for sub-national yield assessments in Kenya W. Ellenburg et al. 10.1016/j.agsy.2023.103819
5. Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspiration Y. Ke et al. 10.1016/j.isprsjprs.2017.02.006
6. Influences of agricultural phenology dynamic on land surface biophysical process and climate feedback F. Liu et al. 10.1007/s11442-017-1423-3
7. Agricultural drought characteristics in a typical plain region considering irrigation, crop growth, and water demand impacts Y. Zhang et al. 10.1016/j.agwat.2023.108266
8. Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches Y. Ke et al. 10.3390/rs8030215
9. Coupling of a Regional Climate Model with a Crop Development Model and Evaluation of the Coupled Model across China J. Zou et al. 10.1007/s00376-018-8160-0
10. Progress in joint application of crop models and hydrological models Y. You et al. 10.1016/j.agwat.2024.108746
11. Estimation of winter wheat yield by assimilating MODIS LAI and VIC optimized soil moisture into the WOFOST model J. Zhang et al. 10.1016/j.eja.2024.127497
12. Coupling the land surface model Noah-MP with the generic crop growth model Gecros: Model description, calibration and validation J. Ingwersen et al. 10.1016/j.agrformet.2018.06.023
13. Cropland expansion delays vegetation spring phenology according to satellite and in-situ observations G. Zhao et al. 10.1016/j.agee.2023.108651
14. Vegetation Growth Models Improve Surface Layer Flux Simulations of a Temperate Grassland C. Klein et al. 10.2136/vzj2017.03.0052
15. A review of coupled hydrologic and crop growth models S. Siad et al. 10.1016/j.agwat.2019.105746
16. Coupled hydrology-crop growth model incorporating an improved evapotranspiration module Y. Zhang et al. 10.1016/j.agwat.2020.106691
17. An NDVI-Based Statistical ET Downscaling Method S. Tan et al. 10.3390/w9120995
18. Implementation of a dynamic specific leaf area (SLA) into a land surface model (LSM) incorporated crop-growth model Z. Li et al. 10.1016/j.compag.2023.108238
19. Blue and green water re-distribution dependency on precipitation datasets for a tropical Indian River basin A. Dey et al. 10.1016/j.ejrh.2023.101361
20. Simulation of Crop Water Demand and Consumption Considering Irrigation Effects Based on Coupled Hydrology‐Crop Growth Model Y. Zhang et al. 10.1029/2020MS002360
21. Annual evapotranspiration retrieved from satellite vegetation indices for the eastern Mediterranean at 250 m spatial resolution D. Helman et al. 10.5194/acp-15-12567-2015
22. Diagnostic Framework for Evaluating How Parametric Uncertainty Influences Agro‐Hydrologic Model Projections of Crop Yields Under Climate Change T. Karimi et al. 10.1029/2021WR031249
23. The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins H. Hasan et al. 10.5194/hess-29-567-2025
24. Mapping groundwater potential and recharge for advisory and monitoring systems in Zimbabwe’s Upper Manyame sub-catchment S. Wagoneka et al. 10.1080/02626667.2025.2499617