33 citations as recorded by crossref.

1. Orographic Land–Atmosphere Interactions and the Diurnal Cycle of Low-Level Clouds and Fog A. Wilson & A. Barros
2. InSAR Meteorology: High‐Resolution Geodetic Data Can Increase Atmospheric Predictability P. Miranda et al.
3. Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco H. Rahali
4. Soil characterization for shallow landslides modeling: a case study in the Northern Apennines (Central Italy) V. Tofani et al.
5. A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides Y. Zou & C. Zheng
6. Scoping a field experiment: error diagnostics of TRMM precipitation radar estimates in complex terrain as a basis for IPHEx2014 Y. Duan et al.
7. Multi-year surface radiative properties and vegetation parameters for hydrologic modeling in regions of complex terrain—Methodology and evaluation over the Integrated Precipitation and Hydrology Experiment 2014 domain J. Tao & A. Barros
8. Multi-year atmospheric forcing datasets for hydrologic modeling in regions of complex terrain – Methodology and evaluation over the Integrated Precipitation and Hydrology Experiment 2014 domain J. Tao & A. Barros
9. Simulating the spatio-temporal dynamics of soil erosion, deposition, and yield using a coupled sediment dynamics and 3D distributed hydrologic model T. Zi et al.
10. The role of root dynamics on the climate sensitivity of ecohydrological processes of over- and understory in a semi-arid groundwater-dependent ecosystem Q. Liu & A. Barros
11. A coupled hydrological-geotechnical framework for forecasting shallow landslide hazard—a case study in Halong City, Vietnam N. Ha et al.
12. Toward optimal rainfall for flood prediction in headwater basins – improving soil moisture initialization to close the water budget within observational uncertainty M. Liao & A. Barros
13. Measurement uncertainty in rainfall kinetic energy and intensity relationships for soil erosion studies: An evaluation using PARSIVEL disdrometers in the Southern Appalachian Mountains M. Angulo-Martínez & A. Barros
14. Rainfall Variability, Wetland Persistence, and Water–Carbon Cycle Coupling in the Upper Zambezi River Basin in Southern Africa L. Lowman et al.
15. Toward optimal rainfall – Hydrologic QPE correction in headwater basins M. Liao & A. Barros
16. Machine learning enhanced framework for rainfall-induced debris flows spatio-temporal prediction: Integrating mobilized materials and hydrological processes W. Zhou et al.
17. A Study of Two Impactful Heavy Rainfall Events in the Southern Appalachian Mountains during Early 2020, Part I; Societal Impacts, Synoptic Overview, and Historical Context D. Miller et al.
18. Coupled prediction of flash flood response and debris flow occurrence: Application on an alpine extreme flood event E. Destro et al.
19. StageIV-IRC: a high-resolution dataset of extreme orographic Quantitative Precipitation Estimates (QPE) constrained to water budget closure for historical floods in the Appalachian Mountains M. Liao & A. Barros
20. Landform controls on low level moisture convergence and the diurnal cycle of warm season orographic rainfall in the Southern Appalachians A. Wilson & A. Barros
21. Interplay of drought and tropical cyclone activity in SE U.S. gross primary productivity L. Lowman & A. Barros
22. Responses to Landslides and Landslide Mapping on the Blue Ridge Escarpment, Polk County, North Carolina, USA R. Wooten et al.
23. Geotechnical and hydrological characterization of hillslope deposits for regional landslide prediction modeling G. Bicocchi et al.
24. Unraveling phenological and stomatal responses to flash drought and implications for water and carbon budgets N. Corak et al.
25. An Expanded Investigation of Atmospheric Rivers in the Southern Appalachian Mountains and Their Connection to Landslides D. Miller et al.
26. Reconceptualising flood risk assessment by incorporating sediment supply H. Liu et al.
27. Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge J. Tao et al.
28. Loss of moisture from the lack of a snowpack increases winter frond damage in Dryopteris intermedia1 J. Tessier
29. Transformer, more than meets the eye: A deep learning approach to integrate rainfall time-series in multi-type landslide probability modelling R. Rani et al.
30. Predicting canopy biophysical properties and sensitivity of plant carbon uptake to water limitations with a coupled eco-hydrological framework L. Lowman & A. Barros
31. iCRESTRIGRS: a coupled modeling system for cascading flood–landslide disaster forecasting K. Zhang et al.
32. Development of a coupled hydrological-geotechnical framework for rainfall-induced landslides prediction X. He et al.
33. The relationship of human activities and rainfall-induced landslide and debris flow hazards in Central China L. Sun et al.