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.
Research article
| 
17 Apr 2015
Research article |
| 17 Apr 2015
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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53 citations as recorded by crossref.
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- Evaluation of a New Statistical Method—TIN-Copula–for the Bias Correction of Climate Models’ Extreme Parameters G. Lazoglou et al. 10.3390/atmos11030243
- Precipitation-based climate change hotspots across India through a Multi-model assessment from CMIP6 S. Sarkar et al. 10.1016/j.jhydrol.2023.129805
- Bias Correction of Ocean Bottom Temperature and Salinity Simulations From a Regional Circulation Model Using Regression Kriging J. Chang et al. 10.1029/2020JC017140
- Physics Parameterization Selection in RCM and ESM Simulations Revisited: New Supporting Approach Based on Empirical Copulas P. Laux et al. 10.3390/atmos10030150
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- Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
50 citations as recorded by crossref.
- High-resolution bias-corrected precipitation data over South Siberia, Russia N. Voropay et al. 10.1016/j.atmosres.2021.105528
- Assessing the relative effectiveness of statistical downscaling and distribution mapping in reproducing rainfall statistics based on climate model results A. Langousis et al. 10.1002/2015WR017556
- 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
- Two novel error-updating model frameworks for short-to-medium range streamflow forecasting using bias-corrected rainfall inputs: Development and comparative assessment A. Khatun et al. 10.1016/j.jhydrol.2023.129199
- 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
- Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework M. Ben Alaya et al. 10.1007/s00382-017-3578-0
- 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
- Probable Maximum Precipitation: Its Estimation and Uncertainty Quantification Using Bivariate Extreme Value Analysis M. Ben Alaya et al. 10.1175/JHM-D-17-0110.1
- 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
- Stepwise cluster ensemble downscaling for drought projection under climate change Y. Wen et al. 10.1002/joc.7977
- Impact of climate change on water resources of upper Kharun catchment in Chhattisgarh, India N. Kumar et al. 10.1016/j.ejrh.2017.07.008
- 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
- Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression R. Deo et al. 10.1016/j.renene.2022.12.048
- Adjusting climate model bias for agricultural impact assessment: How to cut the mustard S. Galmarini et al. 10.1016/j.cliser.2019.01.004
- Bias Correction of Zero-Inflated RCM Precipitation Fields: A Copula-Based Scheme for Both Mean and Extreme Conditions R. Maity et al. 10.1175/JHM-D-18-0126.1
- Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al. 10.2166/wcc.2023.230
- TIN‐Copula bias‐correction method for model‐derived maximum temperature in the MENA region G. Lazoglou et al. 10.1002/joc.7364
- 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
- Correcting systematic biases across multiple atmospheric variables in the frequency domain H. Nguyen et al. 10.1007/s00382-018-4191-6
- Vine Copula Ensemble Downscaling for Precipitation Projection Over the Loess Plateau Based on High‐Resolution Multi‐RCM Outputs C. Sun et al. 10.1029/2020WR027698
- Multivariate copula quantile mapping for bias correction of reanalysis air temperature data F. Alidoost et al. 10.1080/14498596.2019.1601138
- Hydrologic Impacts of Surface Elevation and Spatial Resolution in Statistical Correction Approaches: Case Study of Flumendosa Basin, Italy E. Perra et al. 10.1061/(ASCE)HE.1943-5584.0001969
- Technical note: Changes in cross- and auto-dependence structures in climate projections of daily precipitation and their sensitivity to outliers J. Hnilica et al. 10.5194/hess-23-1741-2019
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- 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
- Gaussian Copula Method for Bias Correction of Daily Precipitation Generated by a Dynamical Model M. Kim et al. 10.1175/JAMC-D-18-0089.1
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- The use of bivariate copulas for bias correction of reanalysis air temperature data F. Alidoost et al. 10.1371/journal.pone.0216059
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- Future high- and low-flow estimations for Central Vietnam: a hydro-meteorological modelling chain approach Q. Dang et al. 10.1080/02626667.2017.1353696
- 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
- Evaluation of a New Statistical Method—TIN-Copula–for the Bias Correction of Climate Models’ Extreme Parameters G. Lazoglou et al. 10.3390/atmos11030243
- Precipitation-based climate change hotspots across India through a Multi-model assessment from CMIP6 S. Sarkar et al. 10.1016/j.jhydrol.2023.129805
- Bias Correction of Ocean Bottom Temperature and Salinity Simulations From a Regional Circulation Model Using Regression Kriging J. Chang et al. 10.1029/2020JC017140
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- A High-Resolution Regional Climate Model Physics Ensemble for Northern Sub-Saharan Africa P. Laux et al. 10.3389/feart.2021.700249
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