Articles | Volume 17, issue 11
https://doi.org/10.5194/hess-17-4323-2013
© Author(s) 2013. 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-17-4323-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Nov 2013
Research article |
| 01 Nov 2013
On the importance of observational data properties when assessing regional climate model performance of extreme precipitation
M. A. Sunyer
Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
H. J. D. Sørup
Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
Danish Climate Centre, Danish Meteorological Institute, Copenhagen, Denmark
O. B. Christensen
Danish Climate Centre, Danish Meteorological Institute, Copenhagen, Denmark
H. Madsen
DHI, Hørsholm, Denmark
D. Rosbjerg
Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
P. S. Mikkelsen
Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
K. Arnbjerg-Nielsen
Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
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Cited
30 citations as recorded by crossref.
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- The Vietnam Gridded Precipitation (VnGP) Dataset: Construction and Validation T. Nguyen-Xuan et al. 10.2151/sola.2016-057
- Strong Dependence of Extreme Convective Precipitation Intensities on Gauge Network Density K. Schroeer et al. 10.1029/2018GL077994
- Uncertainty assessment for climate change impact on intense precipitation: how many model runs do we need? P. Hosseinzadehtalaei et al. 10.1002/joc.5069
- An evaluation of the consistency of extremes in gridded precipitation data sets B. Timmermans et al. 10.1007/s00382-018-4537-0
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- Evaluating the variability and trends in extreme climate events in the Kashmir Valley using PRECIS RCM simulations I. Gujree et al. 10.1007/s40808-017-0370-4
- Compound Extremes in Hydroclimatology: A Review Z. Hao et al. 10.3390/w10060718
- Comparison of projection skills of deterministic ensemble methods using pseudo-simulation data generated from multivariate Gaussian distribution S. Oh & M. Suh 10.1007/s00704-016-1782-1
- Downscaling future precipitation extremes to urban hydrology scales using a spatio-temporal Neyman–Scott weather generator H. Sørup et al. 10.5194/hess-20-1387-2016
- Comparing spatial metrics of extreme precipitation between data from rain gauges, weather radar and high-resolution climate model re-analyses E. Thomassen et al. 10.1016/j.jhydrol.2022.127915
- Uncertainty propagation in observational references to climate model scales O. Bellprat et al. 10.1016/j.rse.2017.06.034
- Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. 10.2166/nh.2022.137
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- Precipitation intensity–duration–frequency curves for central Belgium with an ensemble of EURO-CORDEX simulations, and associated uncertainties P. Hosseinzadehtalaei et al. 10.1016/j.atmosres.2017.09.015
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- The influence of natural variability and interpolation errors on bias characterization in RCM simulations N. Addor & E. Fischer 10.1002/2014JD022824
- Statistical framework to simulate daily rainfall series conditional on upper-air predictor variables A. Langousis & V. Kaleris 10.1002/2013WR014936
- Generation of Monthly Precipitation Climatologies for Costa Rica Using Irregular Rain-Gauge Observational Networks M. Mendez et al. 10.3390/w11010070
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28 citations as recorded by crossref.
- Evaluation of precipitation extremes over the Asian domain: observation and modelling studies I. Kim et al. 10.1007/s00382-018-4193-4
- Hydrometeorological droughts in the Miño–Limia–Sil hydrographic demarcation (northwestern Iberian Peninsula): the role of atmospheric drivers R. Sorí et al. 10.5194/nhess-20-1805-2020
- Regional Dynamical Downscaling and the CORDEX Initiative F. Giorgi & W. Gutowski 10.1146/annurev-environ-102014-021217
- The Vietnam Gridded Precipitation (VnGP) Dataset: Construction and Validation T. Nguyen-Xuan et al. 10.2151/sola.2016-057
- Strong Dependence of Extreme Convective Precipitation Intensities on Gauge Network Density K. Schroeer et al. 10.1029/2018GL077994
- Uncertainty assessment for climate change impact on intense precipitation: how many model runs do we need? P. Hosseinzadehtalaei et al. 10.1002/joc.5069
- An evaluation of the consistency of extremes in gridded precipitation data sets B. Timmermans et al. 10.1007/s00382-018-4537-0
- Identifying added value in high-resolution climate simulations over Scandinavia S. Mayer et al. 10.3402/tellusa.v67.24941
- Evaluating the variability and trends in extreme climate events in the Kashmir Valley using PRECIS RCM simulations I. Gujree et al. 10.1007/s40808-017-0370-4
- Compound Extremes in Hydroclimatology: A Review Z. Hao et al. 10.3390/w10060718
- Comparison of projection skills of deterministic ensemble methods using pseudo-simulation data generated from multivariate Gaussian distribution S. Oh & M. Suh 10.1007/s00704-016-1782-1
- Downscaling future precipitation extremes to urban hydrology scales using a spatio-temporal Neyman–Scott weather generator H. Sørup et al. 10.5194/hess-20-1387-2016
- Comparing spatial metrics of extreme precipitation between data from rain gauges, weather radar and high-resolution climate model re-analyses E. Thomassen et al. 10.1016/j.jhydrol.2022.127915
- Uncertainty propagation in observational references to climate model scales O. Bellprat et al. 10.1016/j.rse.2017.06.034
- Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. 10.2166/nh.2022.137
- Assessing the importance of spatio‐temporal RCM resolution when estimating sub‐daily extreme precipitation under current and future climate conditions M. Sunyer et al. 10.1002/joc.4733
- Precipitation intensity–duration–frequency curves for central Belgium with an ensemble of EURO-CORDEX simulations, and associated uncertainties P. Hosseinzadehtalaei et al. 10.1016/j.atmosres.2017.09.015
- Local impact analysis of climate change on precipitation extremes: are high-resolution climate models needed for realistic simulations? H. Tabari et al. 10.5194/hess-20-3843-2016
- The influence of natural variability and interpolation errors on bias characterization in RCM simulations N. Addor & E. Fischer 10.1002/2014JD022824
- Statistical framework to simulate daily rainfall series conditional on upper-air predictor variables A. Langousis & V. Kaleris 10.1002/2013WR014936
- Generation of Monthly Precipitation Climatologies for Costa Rica Using Irregular Rain-Gauge Observational Networks M. Mendez et al. 10.3390/w11010070
- Evaluation of the Rossby Centre Regional Climate Model Rainfall Simulations over West Africa Using Large-Scale Spatial and Temporal Statistical Metrics G. Gnitou et al. 10.3390/atmos10120802
- Managing uncertainty in flood protection planning with climate projections B. Dittes et al. 10.5194/hess-22-2511-2018
- Observational uncertainty and regional climate model evaluation: A pan‐European perspective S. Kotlarski et al. 10.1002/joc.5249
- Global and Regional Projected Changes in 100-yr Subdaily, Daily, and Multiday Precipitation Extremes Estimated from Three Large Ensembles of Climate Simulations J. Martel et al. 10.1175/JCLI-D-18-0764.1
- Sensitivity of Southeast Asia rainfall simulations to cumulus and air-sea flux parameterizations in RegCM4 L. Juneng et al. 10.3354/cr01386
- Early warning of drought in Europe using the monthly ensemble system from ECMWF C. Lavaysse et al. 10.5194/hess-19-3273-2015
- Testing the Hydrological Coherence of High‐Resolution Gridded Precipitation and Temperature Data Sets L. Laiti et al. 10.1002/2017WR021633
2 citations as recorded by crossref.
- The Value of High-Resolution Met Office Regional Climate Models in the Simulation of Multihourly Precipitation Extremes S. Chan et al. 10.1175/JCLI-D-13-00723.1
- Regional Interdependency of Precipitation Indices across Denmark in Two Ensembles of High-Resolution RCMs M. Sunyer et al. 10.1175/JCLI-D-12-00707.1
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