12 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. 10.1016/j.cliser.2024.100478
2. Analysing the impacts of extreme torrential events using multi‐temporal LiDAR datasets—The Schöttlbach catchment, Upper Styria, Austria P. Krenn et al. 10.1002/esp.5859
3. Exploring possible climate change amplification of warm-season precipitation extremes in the southeastern Alpine forelands at regional to local scales S. Haas et al. 10.1016/j.ejrh.2024.101987
4. Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities K. Kustura et al. 10.3390/rs17020318
5. Analysing the Large-Scale Debris Flow Event in July 2022 in Horlachtal, Austria Using Remote Sensing and Measurement Data J. Rom et al. 10.3390/geosciences13040100
6. Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. 10.1016/j.jhydrol.2024.130879
7. Assessment of two approaches for very short range precipitation prediction for a convection-dominant period at different scales E. Ghaemi et al. 10.1016/j.atmosres.2024.107522
8. Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al. 10.1016/j.jhydrol.2024.132202
9. Short-term rainfall forecasting using cumulative precipitation fields from station data: a probabilistic machine learning approach D. Pirone et al. 10.1016/j.jhydrol.2022.128949
10. Estimation of Real-Time Rainfall Fields Reflecting the Mountain Effect of Rainfall Explained by the WRF Rainfall Fields J. Lee et al. 10.3390/w15091794
11. Performance evaluation and bias correction of gridded precipitation products over Arun River Basin in Nepal for hydrological applications S. Dangol et al. 10.1007/s00704-022-04001-y
12. Small Catchment Runoff Sensitivity to Station Density and Spatial Interpolation: Hydrological Modeling of Heavy Rainfall Using a Dense Rain Gauge Network C. Hohmann et al. 10.3390/w13101381