37 citations as recorded by crossref.

1. Precipitation-induced landslide risk escalation in China’s urbanization with high-resolution soil moisture and multi-source precipitation product K. He et al. 10.1016/j.jhydrol.2024.131536
2. Prototype of an IoT-Based Low-Cost Sensor Network for the Hydrological Monitoring of Landslide-Prone Areas P. Marino et al. 10.3390/s23042299
3. Impact of Noah-LSM Parameterizations on WRF Mesoscale Simulations: Case Study of Prevailing Summer Atmospheric Conditions over a Typical Semi-Arid Region in Eastern Spain I. Gómez et al. 10.3390/su132011399
4. Sensitivity of horizontal resolution and land surface model in operational WRF forecast for Online Nuclear Emergency Response System (ONERS) S. Karmakar et al. 10.1007/s00703-024-01032-0
5. iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction G. Chen et al. 10.5194/gmd-16-2915-2023
6. High-resolution WRF forecasts in the SmartAQ system: Evaluation of the meteorological forcing used for PMCAMx predictions in an urban area A. Pappa et al. 10.1016/j.atmosres.2023.107041
7. WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America A. García-García et al. 10.5194/gmd-15-413-2022
8. Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
9. Assessing the maximum potential cooling benefits of irrigation in Australia during the “Angry Summer” of 2012/2013 J. Kala et al. 10.1016/j.wace.2022.100538
10. Downscaled GRACE/GRACE-FO observations for spatial and temporal monitoring of groundwater storage variations at the local scale using machine learning S. Ali et al. 10.1016/j.gsd.2024.101100
11. Definition of 3D rainfall thresholds to increase operative landslide early warning system performances A. Rosi et al. 10.1007/s10346-020-01523-2
12. Performance of Seven Land Surface Schemes in the WRFv4.3 Model for Simulating Precipitation in the Record‐Breaking Meiyu Season Over the Yangtze–Huaihe River Valley in China Z. Di et al. 10.1029/2022GH000757
13. Reanalysis of Soil Moisture Used for Rainfall Thresholds for Rainfall-Induced Landslides: The Italian Case Study N. Bezak et al. 10.3390/w13141977
14. Quantifying Contributions of Uncertainties in Physical Parameterization Schemes and Model Parameters to Overall Errors in Noah‐MP Dynamic Vegetation Modeling J. Li et al. 10.1029/2019MS001914
15. From empirically to physically based early warning predictions of rainfall-induced landslides in silty volcanic soils: the Lattari Mountains case study G. Rianna et al. 10.1007/s10064-023-03228-x
16. An inverse dielectric mixing model at 50 MHz that considers soil organic carbon C. Park et al. 10.5194/hess-25-6407-2021
17. Land Surface Physics-Based Downscaling Approach for Agricultural Meteorological Prediction: Applicability for Tropical-Monsoon Region, the Red River Delta, Vietnam D. Nguyen et al. 10.2151/sola.2023-039
18. Assessing the numerical weather prediction (NWP) model in estimating extreme rainfall events: A case study for severe floods in the southwest Mediterranean region, Turkey A. Ozkaya 10.1007/s12040-023-02137-7
19. Soil moisture sensor network design for hydrological applications L. Zhuo et al. 10.5194/hess-24-2577-2020
20. Impacts of climate change on terrestrial hydrological components and crop water use in the Chesapeake Bay watershed P. Modi et al. 10.1016/j.ejrh.2021.100830
21. Developing spin-up time framework for WRF extreme precipitation simulations Y. Liu et al. 10.1016/j.jhydrol.2023.129443
22. Impact of alternative soil data sources on the uncertainties in simulated land-atmosphere interactions Z. Zhang et al. 10.1016/j.agrformet.2023.109565
23. Improve the Performance of the Noah‐MP‐Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data T. Xu et al. 10.1029/2020MS002394
24. Introducing NARCliM1.5: Evaluation and projection of climate extremes for southeast Australia F. Ji et al. 10.1016/j.wace.2022.100526
25. 7 February Chamoli (Uttarakhand, India) Rock-Ice Avalanche Disaster: Model-Simulated Prevailing Meteorological Conditions P. Srivastava et al. 10.3390/atmos13020267
26. To develop a progressive multimetric configuration optimisation method for WRF simulations of extreme rainfall events over Egypt Y. Liu et al. 10.1016/j.jhydrol.2021.126237
27. Global Evaluation of the Noah‐MP Land Surface Model and Suggestions for Selecting Parameterization Schemes J. Li et al. 10.1029/2021JD035753
28. Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al. 10.5194/hess-25-4585-2021
29. An assessment of statistical interpolation methods suited for gridded rainfall datasets Y. Liu et al. 10.1002/joc.7389
30. Assessment of Land Surface Schemes from the WRF-Chem for Atmospheric Modeling in the Andean Region of Ecuador R. Parra 10.3390/atmos14030508
31. A Retrospective and Prospective Examination of the 1960s U.S. Northeast Drought Z. Xue & P. Ullrich 10.1029/2020EF001930
32. Performance of the WRF model in simulating convective rainfall events in the humid subtropical monsoon climate region—Poyang Lake basin J. Wu et al. 10.1007/s00704-023-04508-y
33. Assessing the potential of different satellite soil moisture products in landslide hazard assessment B. Zhao et al. 10.1016/j.rse.2021.112583
34. Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability C. He et al. 10.5194/gmd-16-5131-2023
35. Analysis of Effects of Spatial Distributed Soil Properties and Soil Moisture Behavior on Hourly Streamflow Estimate through the Integration of SWAT and LSM S. Lee et al. 10.3390/su16041691
36. Atmospheric triggering conditions and climatic disposition of landslides in Kyrgyzstan and Tajikistan at the beginning of the 21st century X. Wang et al. 10.5194/nhess-21-2125-2021
37. Estimation of water balance components by Noah-MP land surface model for the Neyshaboor watershed, Khorasan Razavi, Iran S. Mirshafee et al. 10.1007/s13201-023-02076-0