15 citations as recorded by crossref.

1. Grid based monitoring and forecasting system of cropping conditions and risks by agrometeorological indicators in Austria – Agricultural Risk Information System ARIS J. Eitzinger et al. https://doi.org/10.1016/j.cliser.2024.100478
2. Testing the predictive capability of the Index of Connectivity for debris‐flow coupling under varying forcing conditions: Insights from two consecutive events in the Horlachtal catchment, Austria T. Himmelstoss et al. https://doi.org/10.1002/esp.70173
3. Short-term rainfall forecasting using cumulative precipitation fields from station data: a probabilistic machine learning approach D. Pirone et al. https://doi.org/10.1016/j.jhydrol.2022.128949
4. Estimation of Real-Time Rainfall Fields Reflecting the Mountain Effect of Rainfall Explained by the WRF Rainfall Fields J. Lee et al. https://doi.org/10.3390/w15091794
5. Climate induced increase in frequency and area affected by critical rainfall conditions triggering debris flows in Austria R. Kaitna et al. https://doi.org/10.1038/s43247-025-02760-w
6. Linking heavy rainfall to suspended sediment fluxes in a deglaciating Alpine catchment A. Skålevåg et al. https://doi.org/10.5194/hess-30-2717-2026
7. Analysing the impacts of extreme torrential events using multi‐temporal LiDAR datasets—The Schöttlbach catchment, Upper Styria, Austria P. Krenn et al. https://doi.org/10.1002/esp.5859
8. From means to extremes: Evaluating high-resolution gridded data for rainfall erosivity estimation in Austria C. Vásquez et al. https://doi.org/10.1016/j.ejrh.2026.103270
9. Exploring possible climate change amplification of warm-season precipitation extremes in the southeastern Alpine forelands at regional to local scales S. Haas et al. https://doi.org/10.1016/j.ejrh.2024.101987
10. Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities K. Kustura et al. https://doi.org/10.3390/rs17020318
11. Analysing the Large-Scale Debris Flow Event in July 2022 in Horlachtal, Austria Using Remote Sensing and Measurement Data J. Rom et al. https://doi.org/10.3390/geosciences13040100
12. Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. https://doi.org/10.1016/j.jhydrol.2024.130879
13. Assessment of two approaches for very short range precipitation prediction for a convection-dominant period at different scales E. Ghaemi et al. https://doi.org/10.1016/j.atmosres.2024.107522
14. Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al. https://doi.org/10.1016/j.jhydrol.2024.132202
15. Detection and characterization of precipitation extremes and geohydrological hazards over a transboundary Alpine area based on different methods and climate datasets A. Crespi et al. https://doi.org/10.5194/nhess-26-1975-2026