Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2493-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-2493-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
22 Jun 2018
Model description paper |
| 22 Jun 2018
| 22 Jun 2018
Observational operators for dual polarimetric radars in variational data assimilation systems (PolRad VAR v1.0)
Takuya Kawabata
CORRESPONDING AUTHOR
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 3050052, Japan
Thomas Schwitalla
Institute of Physics and Meteorology, University of Hohenheim, 70599 Stuttgart, Germany
Ahoro Adachi
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 3050052, Japan
Hans-Stefan Bauer
Institute of Physics and Meteorology, University of Hohenheim, 70599 Stuttgart, Germany
Volker Wulfmeyer
Institute of Physics and Meteorology, University of Hohenheim, 70599 Stuttgart, Germany
Nobuhiro Nagumo
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 3050052, Japan
Hiroshi Yamauchi
Japan Meteorological Agency, Tokyo, 1008122, Japan
Viewed
Total article views: 3,409 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,224 | 1,068 | 117 | 3,409 | 115 | 115 |
- HTML: 2,224
- PDF: 1,068
- XML: 117
- Total: 3,409
- BibTeX: 115
- EndNote: 115
Total article views: 2,701 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jun 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,798 | 794 | 109 | 2,701 | 108 | 109 |
- HTML: 1,798
- PDF: 794
- XML: 109
- Total: 2,701
- BibTeX: 108
- EndNote: 109
Total article views: 708 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 426 | 274 | 8 | 708 | 7 | 6 |
- HTML: 426
- PDF: 274
- XML: 8
- Total: 708
- BibTeX: 7
- EndNote: 6
Viewed (geographical distribution)
Total article views: 3,409 (including HTML, PDF, and XML)
Thereof 3,200 with geography defined
and 209 with unknown origin.
Total article views: 2,701 (including HTML, PDF, and XML)
Thereof 2,516 with geography defined
and 185 with unknown origin.
Total article views: 708 (including HTML, PDF, and XML)
Thereof 684 with geography defined
and 24 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
14 citations as recorded by crossref.
- A Multi-Time-Scale Four-Dimensional Variational Data Assimilation Scheme and Its Application to Simulated Radial Velocity and Reflectivity Data T. Sun et al. 10.1175/MWR-D-19-0203.1
- Scaling artificial heat islands to enhance precipitation in the United Arab Emirates O. Branch et al. 10.5194/esd-15-109-2024
- Comprehensive thematic T-matrix reference database: a 2017–2019 update M. Mishchenko 10.1016/j.jqsrt.2019.106692
- Impacts of Radar Data Assimilation on the Forecast of “12.8” Extreme Rainstorm in Central China (2021) Z. He et al. 10.3390/atmos14121722
- Non-Gaussian Probability Densities of Convection Initiation and Development Investigated Using a Particle Filter with a Storm-Scale Numerical Weather Prediction Model T. Kawabata & G. Ueno 10.1175/MWR-D-18-0367.1
- Cloud-Resolving Model Applied to Nowcasting: An Evaluation of Radar Data Assimilation and Microphysics Parameterization E. Vendrasco et al. 10.1175/WAF-D-20-0017.1
- Forward operator for polarimetric radio occultation measurements D. Hotta et al. 10.5194/amt-17-1075-2024
- Impacts of assimilating polarimetric radar KDP observations with an ensemble Kalman filter on analyses and predictions of a rainstorm associated with Typhoon Hato (2017) A. Shu et al. 10.1002/qj.4943
- Overview and Prospect of Data Assimilation in Numerical Weather Prediction L. Lei et al. 10.1007/s13351-025-4905-8
- A radar reflectivity operator with ice-phase hydrometeors for variational data assimilation (version 1.0) and its evaluation with real radar data S. Wang & Z. Liu 10.5194/gmd-12-4031-2019
- Direct Assimilation of Dual-polarization Radar Using the Hydrometeor Background Error Covariance in the CMA-MESO Model and Its Sensitivity to the Microphysics Scheme J. Chen et al. 10.1007/s00376-025-4294-z
- Sensitivities of Quantitative Precipitation Forecasts for Typhoon Soudelor (2015) near Landfall to Polarimetric Radar Data Assimilation C. Tsai & K. Chung 10.3390/rs12223711
- Turbulence-permitting air pollution simulation for the Stuttgart metropolitan area T. Schwitalla et al. 10.5194/acp-21-4575-2021
- One‐dimensional maximum‐likelihood estimation for spaceborne precipitation radar data assimilation Y. Ikuta et al. 10.1002/qj.3950
14 citations as recorded by crossref.
- A Multi-Time-Scale Four-Dimensional Variational Data Assimilation Scheme and Its Application to Simulated Radial Velocity and Reflectivity Data T. Sun et al. 10.1175/MWR-D-19-0203.1
- Scaling artificial heat islands to enhance precipitation in the United Arab Emirates O. Branch et al. 10.5194/esd-15-109-2024
- Comprehensive thematic T-matrix reference database: a 2017–2019 update M. Mishchenko 10.1016/j.jqsrt.2019.106692
- Impacts of Radar Data Assimilation on the Forecast of “12.8” Extreme Rainstorm in Central China (2021) Z. He et al. 10.3390/atmos14121722
- Non-Gaussian Probability Densities of Convection Initiation and Development Investigated Using a Particle Filter with a Storm-Scale Numerical Weather Prediction Model T. Kawabata & G. Ueno 10.1175/MWR-D-18-0367.1
- Cloud-Resolving Model Applied to Nowcasting: An Evaluation of Radar Data Assimilation and Microphysics Parameterization E. Vendrasco et al. 10.1175/WAF-D-20-0017.1
- Forward operator for polarimetric radio occultation measurements D. Hotta et al. 10.5194/amt-17-1075-2024
- Impacts of assimilating polarimetric radar KDP observations with an ensemble Kalman filter on analyses and predictions of a rainstorm associated with Typhoon Hato (2017) A. Shu et al. 10.1002/qj.4943
- Overview and Prospect of Data Assimilation in Numerical Weather Prediction L. Lei et al. 10.1007/s13351-025-4905-8
- A radar reflectivity operator with ice-phase hydrometeors for variational data assimilation (version 1.0) and its evaluation with real radar data S. Wang & Z. Liu 10.5194/gmd-12-4031-2019
- Direct Assimilation of Dual-polarization Radar Using the Hydrometeor Background Error Covariance in the CMA-MESO Model and Its Sensitivity to the Microphysics Scheme J. Chen et al. 10.1007/s00376-025-4294-z
- Sensitivities of Quantitative Precipitation Forecasts for Typhoon Soudelor (2015) near Landfall to Polarimetric Radar Data Assimilation C. Tsai & K. Chung 10.3390/rs12223711
- Turbulence-permitting air pollution simulation for the Stuttgart metropolitan area T. Schwitalla et al. 10.5194/acp-21-4575-2021
- One‐dimensional maximum‐likelihood estimation for spaceborne precipitation radar data assimilation Y. Ikuta et al. 10.1002/qj.3950
Latest update: 08 Aug 2025
Short summary
We implemented two observational operators for dual polarimetric radars in two variational data assimilation systems: WRF Var and NHM-4DVAR. The operators consist of a space interpolator and two types of variable converters. The first variable converter emulates polarimetric parameters with model prognostic variables, and the second derives rainwater content from the observed polarimetric parameter. The system worked properly in verification and assimilation tests.
We implemented two observational operators for dual polarimetric radars in two variational data...
