Articles | Volume 23, issue 7
https://doi.org/10.5194/hess-23-2863-2019
© Author(s) 2019. 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-23-2863-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jul 2019
Research article |
| 08 Jul 2019
| 08 Jul 2019
Assessment of spatial uncertainty of heavy rainfall at catchment scale using a dense gauge network
Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics (IGAM/IP), NAWI Graz, University of Graz, Graz, Austria
FWF-DK Climate Change, University of Graz, Austria
now at: Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
Ulrich Foelsche
Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics (IGAM/IP), NAWI Graz, University of Graz, Graz, Austria
FWF-DK Climate Change, University of Graz, Austria
Wegener Center for Climate and Global Change (WEGC), University of Graz, Graz, Austria
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Cited
16 citations as recorded by crossref.
- Climate Models Permit Convection at Much Coarser Resolutions Than Previously Considered J. Vergara-Temprado et al. 10.1175/JCLI-D-19-0286.1
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- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- 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
- A regional early warning model of geological hazards based on big data of real-time rainfall W. Zhao et al. 10.1007/s11069-023-05819-z
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- Temperature effects on the spatial structure of heavy rainfall modify catchment hydro-morphological response N. Peleg et al. 10.5194/esurf-8-17-2020
- Rainfall spatial-heterogeneity accelerates landscape evolution processes N. Peleg et al. 10.1016/j.geomorph.2021.107863
- Evaluation of GPM-DPR precipitation estimates with WegenerNet gauge data M. Lasser et al. 10.5194/amt-12-5055-2019
- Analysis and verification of reconstructed historical extreme precipitation events in an hourly resolution V. Bližňák et al. 10.1016/j.atmosres.2020.105309
- Gridded daily precipitation data for Iran: A comparison of different methods A. Bárdossy et al. 10.1016/j.ejrh.2021.100958
- Advancing Characterization and Modeling of Space-Time Correlation Structure and Marginal Distribution of Short-Duration Precipitation G. Mascaro et al. 10.1016/j.advwatres.2023.104451
- 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
- Evaluation of Integrated Nowcasting through Comprehensive Analysis (INCA) precipitation analysis using a dense rain-gauge network in southeastern Austria E. Ghaemi et al. 10.5194/hess-25-4335-2021
- Performance evaluation of regional climate model simulations at different spatial and temporal scales over the complex orography area of the Alpine region A. Reder et al. 10.1007/s11069-020-03916-x
15 citations as recorded by crossref.
- Climate Models Permit Convection at Much Coarser Resolutions Than Previously Considered J. Vergara-Temprado et al. 10.1175/JCLI-D-19-0286.1
- The evaluation and downscaling‐calibration of IMERG precipitation products at sub‐daily scales over a metropolitan region Q. Zhuang et al. 10.1111/jfr3.12902
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- 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
- A regional early warning model of geological hazards based on big data of real-time rainfall W. Zhao et al. 10.1007/s11069-023-05819-z
- WegenerNet high-resolution weather and climate data from 2007 to 2020 J. Fuchsberger et al. 10.5194/essd-13-1307-2021
- A Convolutional Neural Network Algorithm for Soil Moisture Prediction from Sentinel-1 SAR Images E. Hegazi et al. 10.3390/rs13244964
- Temperature effects on the spatial structure of heavy rainfall modify catchment hydro-morphological response N. Peleg et al. 10.5194/esurf-8-17-2020
- Rainfall spatial-heterogeneity accelerates landscape evolution processes N. Peleg et al. 10.1016/j.geomorph.2021.107863
- Evaluation of GPM-DPR precipitation estimates with WegenerNet gauge data M. Lasser et al. 10.5194/amt-12-5055-2019
- Analysis and verification of reconstructed historical extreme precipitation events in an hourly resolution V. Bližňák et al. 10.1016/j.atmosres.2020.105309
- Gridded daily precipitation data for Iran: A comparison of different methods A. Bárdossy et al. 10.1016/j.ejrh.2021.100958
- Advancing Characterization and Modeling of Space-Time Correlation Structure and Marginal Distribution of Short-Duration Precipitation G. Mascaro et al. 10.1016/j.advwatres.2023.104451
- 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
- Evaluation of Integrated Nowcasting through Comprehensive Analysis (INCA) precipitation analysis using a dense rain-gauge network in southeastern Austria E. Ghaemi et al. 10.5194/hess-25-4335-2021
Latest update: 18 Apr 2024
Short summary
We analyze heavy local rainfall to address questions regarding the spatial uncertainty due to the approximation of areal rainfall using point measurements. Ten years of rainfall data from a dense network of 150 rain gauges in southeastern Austria are employed, which permits robust examination of small-scale rainfall at various horizontal resolutions. Quantitative uncertainty information from the study can guide both data users and producers to estimate uncertainty in their own rainfall dataset.
We analyze heavy local rainfall to address questions regarding the spatial uncertainty due to...
