Articles | Volume 25, issue 8
https://doi.org/10.5194/hess-25-4335-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-4335-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Aug 2021
Research article |
| 06 Aug 2021
| 06 Aug 2021
Evaluation of Integrated Nowcasting through Comprehensive Analysis (INCA) precipitation analysis using a dense rain-gauge network in southeastern Austria
Esmail Ghaemi
CORRESPONDING AUTHOR
Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics (IGAM/IP), NAWI Graz, University of Graz, Graz, Austria
Wegener Center for Climate and Global Change (WEGC), University of
Graz, Graz, Austria
Ulrich Foelsche
Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics (IGAM/IP), NAWI Graz, University of Graz, Graz, Austria
Wegener Center for Climate and Global Change (WEGC), University of
Graz, Graz, Austria
Alexander Kann
Department of Forecasting Models, Central Institute for Meteorology
and Geodynamics (ZAMG), Vienna, Austria
Jürgen Fuchsberger
Wegener Center for Climate and Global Change (WEGC), University of
Graz, Graz, Austria
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Cited
14 citations as recorded by crossref.
- 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
- 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
- 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
- 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
- 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
- Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. 10.1016/j.jhydrol.2024.130879
- 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. 10.1002/esp.70173
- 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
- Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al. 10.1016/j.jhydrol.2024.132202
- 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
- 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
- Climate induced increase in frequency and area affected by critical rainfall conditions triggering debris flows in Austria R. Kaitna et al. 10.1038/s43247-025-02760-w
- 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
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12 citations as recorded by crossref.
- 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
- 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
- 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
- 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
- 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
- Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. 10.1016/j.jhydrol.2024.130879
- 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. 10.1002/esp.70173
- 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
- Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al. 10.1016/j.jhydrol.2024.132202
- 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
- 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
- Climate induced increase in frequency and area affected by critical rainfall conditions triggering debris flows in Austria R. Kaitna et al. 10.1038/s43247-025-02760-w
2 citations as recorded by crossref.
- 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
- 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
Latest update: 17 Oct 2025
Short summary
We assess an operational merged gauge–radar precipitation product over a period of 12 years, using gridded precipitation fields from a dense gauge network (WegenerNet) in southeastern Austria. We analyze annual data, seasonal data, and extremes using different metrics. We identify individual events using a simple threshold based on the interval between two consecutive events and evaluate the events' characteristics in both datasets.
We assess an operational merged gauge–radar precipitation product over a period of 12 years,...
