34 citations as recorded by crossref.

1. Coupling the ParFlow Integrated Hydrology Model within the NASA Land Information System: a case study over the Upper Colorado River Basin P. Abbaszadeh et al. https://doi.org/10.5194/hess-29-5429-2025
2. High resolution US water table depth estimates reveal quantity of accessible groundwater Y. Ma et al. https://doi.org/10.1038/s43247-025-03094-3
3. Effects of irrigation and canal networks on groundwater–land surface interactions in the middle Heihe River Basin, China Z. Lu et al. https://doi.org/10.1016/j.ejrh.2025.102532
4. Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review M. Lubczynski et al. https://doi.org/10.1016/j.jhydrol.2024.130901
5. A prototype hyper-resolution groundwater digital twin for the contiguous United States: integrating physics-based modeling, machine learning, and observations Y. Ma et al. https://doi.org/10.1016/j.jhydrol.2026.135189
6. Climate change effects on river droughts in Bavaria using a hydrological large ensemble B. Poschlod et al. https://doi.org/10.5194/hess-30-1165-2026
7. Physically-based modelling of UK river flows under climate change B. Smith et al. https://doi.org/10.3389/frwa.2024.1468855
8. A high-resolution, 3D groundwater-surface water simulation of the contiguous US: Advances in the integrated ParFlow CONUS 2.0 modeling platform C. Yang et al. https://doi.org/10.1016/j.jhydrol.2023.130294
9. Towards water resilience: A multi-stage calibration framework for large-scale integrated surface–subsurface hydrological models L. Sandoval et al. https://doi.org/10.1016/j.jhydrol.2025.134527
10. On the future of hydroecological models of everywhere K. Beven https://doi.org/10.1016/j.envsoft.2025.106431
11. Gaps and strategies for accurate simulation of waterlogging impacts on crop productivity M. Garcia-Vila et al. https://doi.org/10.1038/s43016-025-01179-y
12. Effects of hydraulic conductivity on simulating groundwater–land surface interactions over a typical endorheic river basin Z. Lu et al. https://doi.org/10.1016/j.jhydrol.2024.131542
13. Assessing a high-resolution integrated hydrologic model (ParFlow-CLM-HRB) in an endorheic basin of China Z. Lu et al. https://doi.org/10.1016/j.jhydrol.2025.133579
14. Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. https://doi.org/10.5194/essd-16-2007-2024
15. DECIPHeR-GW v1: a coupled hydrological model with improved representation of surface–groundwater interactions Y. Zheng et al. https://doi.org/10.5194/gmd-18-4247-2025
16. Impact of groundwater representation on heat events in regional climate simulations over Europe L. Poshyvailo-Strube et al. https://doi.org/10.5194/esd-15-167-2024
17. Influence of plateau, slope, and valley on soil hydrology during the dry season in a Central Amazon old‐growth forest R. Negron‐Juarez et al. https://doi.org/10.1002/vzj2.70095
18. The influence of lateral flow on land surface fluxes in southeast Australia varies with model resolution A. Devanand et al. https://doi.org/10.5194/hess-29-4491-2025
19. High-performance coupled surface-subsurface flow simulation with SERGHEI-SWE-RE N. Zheng et al. https://doi.org/10.5194/gmd-19-2799-2026
20. The ISIMIP groundwater sector: a framework for ensemble modeling of global change impacts on groundwater R. Reinecke et al. https://doi.org/10.5194/gmd-19-523-2026
21. Are regional groundwater models suitable for simulating wetlands, rivers and intermittence? The example of the French AquiFR platform L. Guillaumot et al. https://doi.org/10.1016/j.jhydrol.2024.132019
22. Improving the depth-to-bedrock maps for groundwater-to-atmosphere modeling in Africa F. Oussou et al. https://doi.org/10.1016/j.jhydrol.2025.132964
23. 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
24. Improve the accuracy of SAR-based soil moisture retrieval by coupling Bayesian inference and water cloud model H. Jing et al. https://doi.org/10.1016/j.jhydrol.2025.134826
25. Advancing understanding of parameterization effects in global hydrologic models through multi-model, multi-variable evaluation J. Kim et al. https://doi.org/10.1016/j.jhydrol.2026.135208
26. Advancing ecohydrological modelling: coupling LPJ-GUESS with ParFlow for integrated vegetation and surface-subsurface hydrology simulations Z. Jia et al. https://doi.org/10.5194/gmd-19-1727-2026
27. A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. https://doi.org/10.3389/fsci.2023.1190191
28. HydroBlocks-MSSUBv0.1: a multiscale approach for simulating lateral subsurface flow dynamics in Land Surface Models D. Guyumus et al. https://doi.org/10.5194/gmd-19-477-2026
29. Focal-TSMP: deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation M. Shams Eddin & J. Gall https://doi.org/10.5194/gmd-17-2987-2024
30. A comprehensive framework for stochastic calibration and sensitivity analysis of large-scale groundwater models A. Manzoni et al. https://doi.org/10.5194/hess-28-2661-2024
31. Groundwater depletion intensified by irrigation and afforestation in the Yellow River Basin: A spatiotemporal analysis using GRACE and well monitoring data with implications for sustainable management S. Guo et al. https://doi.org/10.1016/j.ejrh.2025.102324
32. Modelling Groundwater Hydrological Drought and Its Recovery Given Natural and Anthropogenic Scenarios in South America J. Vega‐Briones et al. https://doi.org/10.1002/hyp.15340
33. Soil Texture Mapping in the Permafrost Region: A Case Study on the Eastern Qinghai–Tibet Plateau W. Li et al. https://doi.org/10.3390/land13111855
34. Evaluating environmental, weather, and management influences for sustainable beekeeping in California and Quebec: Enhancing beehive survival predictions N. Mahdizadeh Gharakhanlou et al. https://doi.org/10.1016/j.jenvman.2024.123783