Articles | Volume 16, issue 9
https://doi.org/10.5194/hess-16-3419-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-16-3419-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Sep 2012
Research article |
| 24 Sep 2012
Generating spatial precipitation ensembles: impact of temporal correlation structure
O. Rakovec
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands
P. Hazenberg
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands
now at: Atmospheric Sciences Department, The University of Arizona, Tucson, AZ, USA
P. J. J. F. Torfs
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands
A. H. Weerts
Deltares, P.O. Box 177, 2600 MH Delft, The Netherlands
R. Uijlenhoet
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands
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19 citations as recorded by crossref.
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- Autocorrelation analysis of high resolution weighing lysimeter time series as a basis for determination of precipitation M. Herbrich & H. Gerke 10.1002/jpln.201600169
- High‐resolution peat volume change in a northern peatland: Spatial variability, main drivers, and impact on ecohydrology J. Nijp et al. 10.1002/eco.2114
- The effect of forcing and landscape distribution on performance and consistency of model structures T. Euser et al. 10.1002/hyp.10445
- Operational aspects of asynchronous filtering for flood forecasting O. Rakovec et al. 10.5194/hess-19-2911-2015
- Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y. Liu et al. 10.5194/hess-16-3863-2012
- Observational and predictive uncertainties for multiple variables in a spatially distributed hydrological model L. Ehlers et al. 10.1002/hyp.13367
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- Joint treatment of point measurement, sampling and neighborhood uncertainty in space-time rainfall mapping L. Ehlers et al. 10.1016/j.jhydrol.2019.03.100
- Anatomy of simultaneous flood peaks at a lowland confluence T. Geertsema et al. 10.5194/hess-22-5599-2018
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- Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method C. Rajulapati & S. Papalexiou 10.1029/2023EA002823
- DEVELOPMENT OF A HYDROLOGICAL MODELING FRAMEWORK FOR DATA ASSIMILATION WITH PARTICLE FILTERS S. NOH et al. 10.2208/journalofjsce.1.1_69
- The potential of radar-based ensemble forecasts for flash-flood early warning in the southern Swiss Alps K. Liechti et al. 10.5194/hess-17-3853-2013
- On noise specification in data assimilation schemes for improved flood forecasting using distributed hydrological models S. Noh et al. 10.1016/j.jhydrol.2014.07.049
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- State updating of a distributed hydrological model with Ensemble Kalman Filtering: effects of updating frequency and observation network density on forecast accuracy O. Rakovec et al. 10.5194/hess-16-3435-2012
- Constraining the ensemble Kalman filter for improved streamflow forecasting D. Maxwell et al. 10.1016/j.jhydrol.2018.03.015
17 citations as recorded by crossref.
- Comparison of Sequential and Variational Streamflow Assimilation Techniques for Short-Term Hydrological Forecasting M. Abaza et al. 10.1061/(ASCE)HE.1943-5584.0001013
- Value of different precipitation data for flood prediction in an alpine catchment: A Bayesian approach A. Sikorska & J. Seibert 10.1016/j.jhydrol.2016.06.031
- Autocorrelation analysis of high resolution weighing lysimeter time series as a basis for determination of precipitation M. Herbrich & H. Gerke 10.1002/jpln.201600169
- High‐resolution peat volume change in a northern peatland: Spatial variability, main drivers, and impact on ecohydrology J. Nijp et al. 10.1002/eco.2114
- The effect of forcing and landscape distribution on performance and consistency of model structures T. Euser et al. 10.1002/hyp.10445
- Operational aspects of asynchronous filtering for flood forecasting O. Rakovec et al. 10.5194/hess-19-2911-2015
- Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y. Liu et al. 10.5194/hess-16-3863-2012
- Observational and predictive uncertainties for multiple variables in a spatially distributed hydrological model L. Ehlers et al. 10.1002/hyp.13367
- Impact of uncertainty description on assimilating hydraulic head in the MIKE SHE distributed hydrological model D. Zhang et al. 10.1016/j.advwatres.2015.07.018
- Joint treatment of point measurement, sampling and neighborhood uncertainty in space-time rainfall mapping L. Ehlers et al. 10.1016/j.jhydrol.2019.03.100
- Anatomy of simultaneous flood peaks at a lowland confluence T. Geertsema et al. 10.5194/hess-22-5599-2018
- Simultaneous assimilation of water levels from river gauges and satellite flood maps for near-real-time flood mapping A. Annis et al. 10.5194/hess-26-1019-2022
- Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method C. Rajulapati & S. Papalexiou 10.1029/2023EA002823
- DEVELOPMENT OF A HYDROLOGICAL MODELING FRAMEWORK FOR DATA ASSIMILATION WITH PARTICLE FILTERS S. NOH et al. 10.2208/journalofjsce.1.1_69
- The potential of radar-based ensemble forecasts for flash-flood early warning in the southern Swiss Alps K. Liechti et al. 10.5194/hess-17-3853-2013
- On noise specification in data assimilation schemes for improved flood forecasting using distributed hydrological models S. Noh et al. 10.1016/j.jhydrol.2014.07.049
- Development and evaluation of a hydrologic data-assimilation scheme for short-range flow and inflow forecasts in a data-sparse high-latitude region using a distributed model and ensemble Kalman filtering J. Samuel et al. 10.1016/j.advwatres.2019.06.004
2 citations as recorded by crossref.
- State updating of a distributed hydrological model with Ensemble Kalman Filtering: effects of updating frequency and observation network density on forecast accuracy O. Rakovec et al. 10.5194/hess-16-3435-2012
- Constraining the ensemble Kalman filter for improved streamflow forecasting D. Maxwell et al. 10.1016/j.jhydrol.2018.03.015
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