Articles | Volume 18, issue 3
https://doi.org/10.5194/hess-18-981-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-981-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Mar 2014
Research article |
| 11 Mar 2014
A spatial bootstrap technique for parameter estimation of rainfall annual maxima distribution
F. Uboldi
Independent researcher, Milano, Italy
A. N. Sulis
ARPA Lombardia, Regional Hydrographic Service, Milano, Italy
C. Lussana
Norwegian Meteorological Institute, Climatology Division, Oslo, Norway
M. Cislaghi
ARPA Lombardia, Regional Hydrographic Service, Milano, Italy
M. Russo
ARPA Lombardia, Regional Hydrographic Service, Milano, Italy
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20 citations as recorded by crossref.
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- Evidence of non‐stationarity in a local climatology of rainfall extremes in northern Italy F. Uboldi & C. Lussana https://doi.org/10.1002/joc.5183
- Enhancing the usability of weather radar data for the statistical analysis of extreme precipitation events A. Hänsler & M. Weiler https://doi.org/10.5194/hess-26-5069-2022
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- An empirical rainfall threshold approach for the civil protection flood warning system on the Milan urban area E. Gambini et al. https://doi.org/10.1016/j.jhydrol.2023.130513
- Observed changes in precipitation extremes across 11 basins in China during 1961–2013 X. Wu et al. https://doi.org/10.1002/joc.4524
- Regional-scale analysis of extreme precipitation from short and fragmented records A. Libertino et al. https://doi.org/10.1016/j.advwatres.2017.12.015
- Analysis of the Influence of Rainfall Spatial Uncertainty on Hydrological Simulations Using the Bootstrap Method A. Zhang et al. https://doi.org/10.3390/atmos9020071
- Assessing the adequacy of the parameter estimation methods of the Gumbel distribution for modelling the seasonal and annual rainfall N. Vivekanandan https://doi.org/10.1080/17509653.2014.953612
- SYNTHETIC GENERATION OF SPATIALLY HIGH RESOLUTION EXTREME RAINFALL USING MONTE CARLO SIMULATION WITH AMeDAS ANALYZED RAINFALL DATA H. WATANABE et al. https://doi.org/10.2208/jscejhe.73.I_373
- Spatial bootstrapped microeconometrics: Forecasting for out‐of‐sample geo‐locations in big data K. Kopczewska https://doi.org/10.1111/sjos.12636
- A critical analysis of the shortcomings in spatial frequency analysis of rainfall extremes based on homogeneous regions and a comparison with a hierarchical boundaryless approach R. Deidda et al. https://doi.org/10.1007/s00477-021-02008-x
- Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany B. Shehu et al. https://doi.org/10.5194/hess-27-1109-2023
- Examining the Robustness of a Spatial Bootstrap Regional Approach for Radar-Based Hourly Precipitation Frequency Analysis H. Eldardiry & E. Habib https://doi.org/10.3390/rs12223767
- Uncertainty estimation of regionalised depth–duration–frequency curves in Germany B. Shehu & U. Haberlandt https://doi.org/10.5194/hess-27-2075-2023
- An approach for the determination of precipitation input for worst-case flood modelling G. Felder & R. Weingartner https://doi.org/10.1080/02626667.2016.1151980
- Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city F. Wambura https://doi.org/10.1016/j.ejrh.2024.102005
- Modification of artificial drainage networks during the past half-century: Evidence and effects in a reclamation area in the Veneto floodplain (Italy) G. Sofia et al. https://doi.org/10.1016/j.ancene.2014.06.005
- Technical note: Space–time analysis of rainfall extremes in Italy: clues from a reconciled dataset A. Libertino et al. https://doi.org/10.5194/hess-22-2705-2018
- Comparing Methods for the Regionalization of Intensity−Duration−Frequency (IDF) Curve Parameters in Sparsely-Gauged and Ungauged Areas of Central Chile C. Sangüesa et al. https://doi.org/10.3390/hydrology10090179
20 citations as recorded by crossref.
- A stochastic framework for rainfall intensity–time scale–return period relationships. Part ΙΙ: point modelling and regionalization over Greece T. Iliopoulou et al. https://doi.org/10.1080/02626667.2024.2345814
- Evidence of non‐stationarity in a local climatology of rainfall extremes in northern Italy F. Uboldi & C. Lussana https://doi.org/10.1002/joc.5183
- Enhancing the usability of weather radar data for the statistical analysis of extreme precipitation events A. Hänsler & M. Weiler https://doi.org/10.5194/hess-26-5069-2022
- Regional frequency analysis of extreme rainfall in Belgium based on radar estimates E. Goudenhoofdt et al. https://doi.org/10.5194/hess-21-5385-2017
- An empirical rainfall threshold approach for the civil protection flood warning system on the Milan urban area E. Gambini et al. https://doi.org/10.1016/j.jhydrol.2023.130513
- Observed changes in precipitation extremes across 11 basins in China during 1961–2013 X. Wu et al. https://doi.org/10.1002/joc.4524
- Regional-scale analysis of extreme precipitation from short and fragmented records A. Libertino et al. https://doi.org/10.1016/j.advwatres.2017.12.015
- Analysis of the Influence of Rainfall Spatial Uncertainty on Hydrological Simulations Using the Bootstrap Method A. Zhang et al. https://doi.org/10.3390/atmos9020071
- Assessing the adequacy of the parameter estimation methods of the Gumbel distribution for modelling the seasonal and annual rainfall N. Vivekanandan https://doi.org/10.1080/17509653.2014.953612
- SYNTHETIC GENERATION OF SPATIALLY HIGH RESOLUTION EXTREME RAINFALL USING MONTE CARLO SIMULATION WITH AMeDAS ANALYZED RAINFALL DATA H. WATANABE et al. https://doi.org/10.2208/jscejhe.73.I_373
- Spatial bootstrapped microeconometrics: Forecasting for out‐of‐sample geo‐locations in big data K. Kopczewska https://doi.org/10.1111/sjos.12636
- A critical analysis of the shortcomings in spatial frequency analysis of rainfall extremes based on homogeneous regions and a comparison with a hierarchical boundaryless approach R. Deidda et al. https://doi.org/10.1007/s00477-021-02008-x
- Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany B. Shehu et al. https://doi.org/10.5194/hess-27-1109-2023
- Examining the Robustness of a Spatial Bootstrap Regional Approach for Radar-Based Hourly Precipitation Frequency Analysis H. Eldardiry & E. Habib https://doi.org/10.3390/rs12223767
- Uncertainty estimation of regionalised depth–duration–frequency curves in Germany B. Shehu & U. Haberlandt https://doi.org/10.5194/hess-27-2075-2023
- An approach for the determination of precipitation input for worst-case flood modelling G. Felder & R. Weingartner https://doi.org/10.1080/02626667.2016.1151980
- Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city F. Wambura https://doi.org/10.1016/j.ejrh.2024.102005
- Modification of artificial drainage networks during the past half-century: Evidence and effects in a reclamation area in the Veneto floodplain (Italy) G. Sofia et al. https://doi.org/10.1016/j.ancene.2014.06.005
- Technical note: Space–time analysis of rainfall extremes in Italy: clues from a reconciled dataset A. Libertino et al. https://doi.org/10.5194/hess-22-2705-2018
- Comparing Methods for the Regionalization of Intensity−Duration−Frequency (IDF) Curve Parameters in Sparsely-Gauged and Ungauged Areas of Central Chile C. Sangüesa et al. https://doi.org/10.3390/hydrology10090179
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