Articles | Volume 19, issue 4
https://doi.org/10.5194/hess-19-1787-2015
© Author(s) 2015. 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-19-1787-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
Institute of Geography, University of Augsburg, Universitätsstr. 10, 86159 Augsburg, Germany
S. Vogl
Siemens AG, Corporate Technology, 81739 Munich, Germany
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
S. Wagner
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
Institute of Geography, University of Augsburg, Universitätsstr. 10, 86159 Augsburg, Germany
H. Kunstmann
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
Institute of Geography, University of Augsburg, Universitätsstr. 10, 86159 Augsburg, Germany
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- Copula-based modeling of dependence structure in geodesy and GNSS applications: case study for zenith tropospheric delay in complex terrain R. Mousavian et al. 10.1007/s10291-020-01044-4
- Long-Term and High-Resolution Global Time Series of Brightness Temperature from Copula-Based Fusion of SMAP Enhanced and SMOS Data C. Lorenz et al. 10.3390/rs10111842
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- Copula‐based downscaling of daily precipitation fields M. Lorenz et al. 10.1002/hyp.13271
- Comparison of Three Techniques to Adjust Daily Precipitation Biases from Regional Climate Models over Germany C. Ibebuchi et al. 10.3390/w14040600
- A Multivariate Quantile-Matching Bias Correction Approach with Auto- and Cross-Dependence across Multiple Time Scales: Implications for Downscaling R. Mehrotra & A. Sharma 10.1175/JCLI-D-15-0356.1
- Climate-induced hydrological impact mitigated by a high-density reservoir network in the Poyang Lake Basin N. Dong et al. 10.1016/j.jhydrol.2019.124148
- Bias correction of daily precipitation for ungauged locations using geostatistical approaches: A case study for the CORDEX‐Africa ensemble M. Lorenz et al. 10.1002/joc.7649
- A software toolkit for correcting systematic biases in climate model simulations R. Mehrotra et al. 10.1016/j.envsoft.2018.02.010
- Multivariate stochastic bias corrections with optimal transport Y. Robin et al. 10.5194/hess-23-773-2019
- Validation of Surface Temperature Derived From MERRA‐2 Reanalysis Against IMD Gridded Data Set Over India P. Gupta et al. 10.1029/2019EA000910
- A parametric approach for simultaneous bias correction and high‐resolution downscaling of climate model rainfall A. Mamalakis et al. 10.1002/2016WR019578
- A comparative study to determine the optimal copula model for the wind speed and precipitation of typhoons M. Um et al. 10.1002/joc.4834
- A new multi-site multi-variable stochastic model with inter-site and inter-variable correlations, low frequency attributes and stochasticity: A case study in the lower Yellow River basin Y. Wang et al. 10.1016/j.jhydrol.2021.126365
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- Satellite-based streamflow simulation using CHIRPS satellite precipitation product in Shah Bahram Basin, Iran S. Mokhtari et al. 10.1007/s11600-021-00724-0
- Spatiotemporal variability and empirical Copula-based dependence structure of modeled and observed coupled water and energy fluxes M. Soltani et al. 10.2166/nh.2018.163
- Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges B. Haese et al. 10.1002/2017WR021015
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- Investigating statistical bias correction with temporal subsample of the upper Ping River Basin, Thailand S. Wuthiwongtyohtin 10.2166/wcc.2020.021
- Copula-based interpolation methods for air temperature data using collocated covariates F. Alidoost et al. 10.1016/j.spasta.2018.08.003
- Bias correction of precipitation through Singularity Stochastic Removal: Because occurrences matter M. Vrac et al. 10.1002/2015JD024511
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- Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R<sup>2</sup>D<sup>2</sup>) bias correction M. Vrac 10.5194/hess-22-3175-2018
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- Assessment of enhanced Kohonen self-organizing map, quantile mapping and copula-based bias-correction approaches for constructing basin-scale rainfall forecasts A. Khatun et al. 10.1080/02626667.2022.2109972
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- Multivariate copula quantile mapping for bias correction of reanalysis air temperature data F. Alidoost et al. 10.1080/14498596.2019.1601138
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- Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method C. Rajulapati & S. Papalexiou 10.1029/2023EA002823
- Adapting rainfall bias-corrections to improve hydrological simulations generated from climate model forcings D. Robertson et al. 10.1016/j.jhydrol.2023.129322
- Using a Groundwater Adjusted Water Balance Approach and Copulas to Evaluate Spatial Patterns and Dependence Structures in Remote Sensing Derived Evapotranspiration Products M. Soltani et al. 10.3390/rs13050853
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- Bias Correction of Climate Model’s Precipitation Using the Copula Method and Its Application in River Basin Simulation G. Lazoglou et al. 10.3390/w11030600
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- Precipitation-based climate change hotspots across India through a Multi-model assessment from CMIP6 S. Sarkar et al. 10.1016/j.jhydrol.2023.129805
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