Articles | Volume 16, issue 7
https://doi.org/10.5194/hess-16-2311-2012
© Author(s) 2012. 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-16-2311-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields
S. Vogl
University of Augsburg, Institute for Geography, Regional Climate and Hydrology, 86135 Augsburg, Germany
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Kreuzeckbahnstrasse 19, 82467 Garmisch-Partenkirchen, Germany
P. Laux
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Kreuzeckbahnstrasse 19, 82467 Garmisch-Partenkirchen, Germany
W. Qiu
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Kreuzeckbahnstrasse 19, 82467 Garmisch-Partenkirchen, Germany
G. Mao
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Kreuzeckbahnstrasse 19, 82467 Garmisch-Partenkirchen, Germany
H. Kunstmann
University of Augsburg, Institute for Geography, Regional Climate and Hydrology, 86135 Augsburg, Germany
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Kreuzeckbahnstrasse 19, 82467 Garmisch-Partenkirchen, Germany
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Cited
44 citations as recorded by crossref.
- Copula, a new approach for optimum design of Voxel-based GNSS tropospheric tomography based on the atmospheric dynamics R. Mousavian et al. 10.1007/s10291-022-01340-1
- Spatial and temporal modeling of radar rainfall uncertainties G. Villarini et al. 10.1016/j.atmosres.2013.09.007
- Alternative Approach for Estimation of Precipitation Using Doppler Weather Radar Data R. Maity et al. 10.1061/(ASCE)HE.1943-5584.0001146
- A New Approach to Precipitation Monitoring: A critical survey of existing technologies and challenges H. Messer & O. Sendik 10.1109/MSP.2014.2309705
- The potential of cellular network infrastructures for sudden rainfall monitoring in dry climate regions N. David et al. 10.1016/j.atmosres.2013.01.004
- Probabilistic Gaussian Copula Regression Model for Multisite and Multivariable Downscaling M. Ben Alaya et al. 10.1175/JCLI-D-13-00333.1
- A copula approach for sea level anomaly prediction: a case study for the Black Sea A. Yavuzdoğan & E. Tanır Kayıkçı 10.1080/00396265.2020.1816314
- A multivariate approach for statistical assessments of compound extremes Z. Hao et al. 10.1016/j.jhydrol.2018.08.025
- Spatially Downscaling IMERG at Daily Scale Using Machine Learning Approaches Over Zhejiang, Southeastern China X. Min et al. 10.3389/feart.2020.00146
- Rainfall estimation using moving cars as rain gauges – laboratory experiments E. Rabiei et al. 10.5194/hess-17-4701-2013
- Uncertainty analysis of urban sewer system using spatial simulation of radar rainfall fields: New York City case study A. Hamidi et al. 10.1007/s00477-018-1563-8
- TIN‐Copula bias‐correction method for model‐derived maximum temperature in the MENA region G. Lazoglou et al. 10.1002/joc.7364
- Sampling design optimisation for rainfall prediction using a non-stationary geostatistical model A. Wadoux et al. 10.1016/j.advwatres.2017.06.005
- 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
- Geostatistical Merging of a Single-Polarized X-Band Weather Radar and a Sparse Rain Gauge Network over an Urban Catchment I. Seck & J. Van Baelen 10.3390/atmos9120496
- In search of non-stationary dependence between estuarine river discharge and storm surge based on large-scale climate teleconnections G. Boumis et al. 10.1016/j.advwatres.2024.104858
- A Blueprint for Full Collective Flood Risk Estimation: Demonstration for European River Flooding F. Serinaldi & C. Kilsby 10.1111/risa.12747
- Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
- Future high- and low-flow estimations for Central Vietnam: a hydro-meteorological modelling chain approach Q. Dang et al. 10.1080/02626667.2017.1353696
- A multivariate extreme wave and storm surge climate emulator based on weather patterns A. Rueda et al. 10.1016/j.ocemod.2016.06.008
- Temporal Super-Resolution, Ground Adjustment, and Advection Correction of Radar Rainfall Using 3-D-Convolutional Neural Networks J. Polz et al. 10.1109/TGRS.2024.3371577
- 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
- The use of bivariate copulas for bias correction of reanalysis air temperature data F. Alidoost et al. 10.1371/journal.pone.0216059
- A new hybrid method to improve the ultra-short-term prediction of LOD S. Modiri et al. 10.1007/s00190-020-01354-y
- Weather Radar Adjustment Using Runoff from Urban Surfaces M. Ahm & M. Rasmussen 10.1061/(ASCE)HE.1943-5584.0001299
- Modelling Precipitation Intensities from X-Band Radar Measurements Using Artificial Neural Networks—A Feasibility Study for the Bavarian Oberland Region S. Vogl et al. 10.3390/w14030276
- Copula‐based downscaling of daily precipitation fields M. Lorenz et al. 10.1002/hyp.13271
- Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges B. Haese et al. 10.1002/2017WR021015
- Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data G. Mao et al. 10.5194/hess-19-1787-2015
- 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
- Ege Denizi Bağıl Deniz Seviyesi Değişimlerinde Kapula Fonksiyonları İle Trend Analizleri A. YAVUZDOĞAN & E. TANIR KAYIKÇI 10.21324/dacd.574930
- Polar motion prediction using the combination of SSA and Copula-based analysis S. Modiri et al. 10.1186/s40623-018-0888-3
- A High-Resolution Regional Climate Model Physics Ensemble for Northern Sub-Saharan Africa P. Laux et al. 10.3389/feart.2021.700249
- Copulas for hydroclimatic analysis: A practice‐oriented overview F. Tootoonchi et al. 10.1002/wat2.1579
- 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
- On extension of 2-copulas for information fusion A. Tehrani & M. Aggarwal 10.1080/03155986.2024.2389594
- Hotspot movement of compound events on the Europe continent S. Doshi et al. 10.1038/s41598-023-45067-6
- Spatial interpolation of precipitation from multiple rain gauge networks and weather radar data for operational applications in Alpine catchments A. Foehn et al. 10.1016/j.jhydrol.2018.05.027
- Applying bias correction for merging rain gauge and radar data E. Rabiei & U. Haberlandt 10.1016/j.jhydrol.2015.01.020
- Physics Parameterization Selection in RCM and ESM Simulations Revisited: New Supporting Approach Based on Empirical Copulas P. Laux et al. 10.3390/atmos10030150
- Multivariate copula quantile mapping for bias correction of reanalysis air temperature data F. Alidoost et al. 10.1080/14498596.2019.1601138
- Appropriate Copula Investigation for Modeling Dependence Structure of Troposperic Delay Data in the Mountainous Area of Central Europe R. Mousavian et al. 10.52547/jgit.9.2.51
- 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
- Location and Density of Rain Gauges for the Estimation of Spatial Varying Precipitation M. Girons Lopez et al. 10.1111/geoa.12094
43 citations as recorded by crossref.
- Copula, a new approach for optimum design of Voxel-based GNSS tropospheric tomography based on the atmospheric dynamics R. Mousavian et al. 10.1007/s10291-022-01340-1
- Spatial and temporal modeling of radar rainfall uncertainties G. Villarini et al. 10.1016/j.atmosres.2013.09.007
- Alternative Approach for Estimation of Precipitation Using Doppler Weather Radar Data R. Maity et al. 10.1061/(ASCE)HE.1943-5584.0001146
- A New Approach to Precipitation Monitoring: A critical survey of existing technologies and challenges H. Messer & O. Sendik 10.1109/MSP.2014.2309705
- The potential of cellular network infrastructures for sudden rainfall monitoring in dry climate regions N. David et al. 10.1016/j.atmosres.2013.01.004
- Probabilistic Gaussian Copula Regression Model for Multisite and Multivariable Downscaling M. Ben Alaya et al. 10.1175/JCLI-D-13-00333.1
- A copula approach for sea level anomaly prediction: a case study for the Black Sea A. Yavuzdoğan & E. Tanır Kayıkçı 10.1080/00396265.2020.1816314
- A multivariate approach for statistical assessments of compound extremes Z. Hao et al. 10.1016/j.jhydrol.2018.08.025
- Spatially Downscaling IMERG at Daily Scale Using Machine Learning Approaches Over Zhejiang, Southeastern China X. Min et al. 10.3389/feart.2020.00146
- Rainfall estimation using moving cars as rain gauges – laboratory experiments E. Rabiei et al. 10.5194/hess-17-4701-2013
- Uncertainty analysis of urban sewer system using spatial simulation of radar rainfall fields: New York City case study A. Hamidi et al. 10.1007/s00477-018-1563-8
- TIN‐Copula bias‐correction method for model‐derived maximum temperature in the MENA region G. Lazoglou et al. 10.1002/joc.7364
- Sampling design optimisation for rainfall prediction using a non-stationary geostatistical model A. Wadoux et al. 10.1016/j.advwatres.2017.06.005
- 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
- Geostatistical Merging of a Single-Polarized X-Band Weather Radar and a Sparse Rain Gauge Network over an Urban Catchment I. Seck & J. Van Baelen 10.3390/atmos9120496
- In search of non-stationary dependence between estuarine river discharge and storm surge based on large-scale climate teleconnections G. Boumis et al. 10.1016/j.advwatres.2024.104858
- A Blueprint for Full Collective Flood Risk Estimation: Demonstration for European River Flooding F. Serinaldi & C. Kilsby 10.1111/risa.12747
- Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
- Future high- and low-flow estimations for Central Vietnam: a hydro-meteorological modelling chain approach Q. Dang et al. 10.1080/02626667.2017.1353696
- A multivariate extreme wave and storm surge climate emulator based on weather patterns A. Rueda et al. 10.1016/j.ocemod.2016.06.008
- Temporal Super-Resolution, Ground Adjustment, and Advection Correction of Radar Rainfall Using 3-D-Convolutional Neural Networks J. Polz et al. 10.1109/TGRS.2024.3371577
- 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
- The use of bivariate copulas for bias correction of reanalysis air temperature data F. Alidoost et al. 10.1371/journal.pone.0216059
- A new hybrid method to improve the ultra-short-term prediction of LOD S. Modiri et al. 10.1007/s00190-020-01354-y
- Weather Radar Adjustment Using Runoff from Urban Surfaces M. Ahm & M. Rasmussen 10.1061/(ASCE)HE.1943-5584.0001299
- Modelling Precipitation Intensities from X-Band Radar Measurements Using Artificial Neural Networks—A Feasibility Study for the Bavarian Oberland Region S. Vogl et al. 10.3390/w14030276
- Copula‐based downscaling of daily precipitation fields M. Lorenz et al. 10.1002/hyp.13271
- Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges B. Haese et al. 10.1002/2017WR021015
- Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data G. Mao et al. 10.5194/hess-19-1787-2015
- 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
- Ege Denizi Bağıl Deniz Seviyesi Değişimlerinde Kapula Fonksiyonları İle Trend Analizleri A. YAVUZDOĞAN & E. TANIR KAYIKÇI 10.21324/dacd.574930
- Polar motion prediction using the combination of SSA and Copula-based analysis S. Modiri et al. 10.1186/s40623-018-0888-3
- A High-Resolution Regional Climate Model Physics Ensemble for Northern Sub-Saharan Africa P. Laux et al. 10.3389/feart.2021.700249
- Copulas for hydroclimatic analysis: A practice‐oriented overview F. Tootoonchi et al. 10.1002/wat2.1579
- 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
- On extension of 2-copulas for information fusion A. Tehrani & M. Aggarwal 10.1080/03155986.2024.2389594
- Hotspot movement of compound events on the Europe continent S. Doshi et al. 10.1038/s41598-023-45067-6
- Spatial interpolation of precipitation from multiple rain gauge networks and weather radar data for operational applications in Alpine catchments A. Foehn et al. 10.1016/j.jhydrol.2018.05.027
- Applying bias correction for merging rain gauge and radar data E. Rabiei & U. Haberlandt 10.1016/j.jhydrol.2015.01.020
- Physics Parameterization Selection in RCM and ESM Simulations Revisited: New Supporting Approach Based on Empirical Copulas P. Laux et al. 10.3390/atmos10030150
- Multivariate copula quantile mapping for bias correction of reanalysis air temperature data F. Alidoost et al. 10.1080/14498596.2019.1601138
- Appropriate Copula Investigation for Modeling Dependence Structure of Troposperic Delay Data in the Mountainous Area of Central Europe R. Mousavian et al. 10.52547/jgit.9.2.51
- 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
1 citations as recorded by crossref.
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