Articles | Volume 7, issue 4
https://doi.org/10.5194/gmd-7-1819-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-1819-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
28 Aug 2014
Development and technical paper |
| 28 Aug 2014
A scale-dependent blending scheme for WRFDA: impact on regional weather forecasting
H. Wang
National Center for Atmospheric Research, Boulder, CO, USA
Earth System Research Laboratory, NOAA, Boulder, CO, USA
Colorado State University, Fort Collins, CO, USA
X.-Y. Huang
National Center for Atmospheric Research, Boulder, CO, USA
D. Xu
Nanjing University of Information Science & Technology, Nanjing, China
J. Liu
Nanjing University of Information Science & Technology, Nanjing, China
Viewed
Total article views: 4,978 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Apr 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,533 | 2,197 | 248 | 4,978 | 174 | 171 |
- HTML: 2,533
- PDF: 2,197
- XML: 248
- Total: 4,978
- BibTeX: 174
- EndNote: 171
Total article views: 4,340 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Aug 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,212 | 1,898 | 230 | 4,340 | 164 | 165 |
- HTML: 2,212
- PDF: 1,898
- XML: 230
- Total: 4,340
- BibTeX: 164
- EndNote: 165
Total article views: 638 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Apr 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 321 | 299 | 18 | 638 | 10 | 6 |
- HTML: 321
- PDF: 299
- XML: 18
- Total: 638
- BibTeX: 10
- EndNote: 6
Cited
21 citations as recorded by crossref.
- Impact of assimilating GOES imager clear‐sky radiance with a rapid refresh assimilation system for convection‐permitting forecast over Mexico C. Yang et al. 10.1002/2016JD026436
- An Implementation of Full Cycle Strategy Using Dynamic Blending for Rapid Refresh Short-range Weather Forecasting in China J. Feng et al. 10.1007/s00376-021-0316-7
- Background error covariances for a BlendVar assimilation system A. Bučánek & R. Brožková 10.1080/16000870.2017.1355718
- Improvements in the spread–skill relationship of precipitation in a convective‐scale ensemble through blending A. Gainford et al. 10.1002/qj.4754
- Estimation of Flow-Dependent Unbalanced Variances in Four-Dimensional Variational Data Assimilation 士. 侯 10.12677/AG.2020.107063
- Validation of ash cloud modelling with satellite retrievals: a case study of the 16–17 June 1996 Mount Ruapehu eruption J. Liu et al. 10.1007/s11069-015-1753-3
- On Applying Large-Scale Correction to Limited-Area Numerical Weather Prediction Models A. Dipankar et al. 10.3390/atmos13071142
- Evaluation and Bias Correction in WRF Model Forecasting of Precipitation and Potential Evapotranspiration T. Bughici et al. 10.1175/JHM-D-18-0160.1
- Model Sensitivity Evaluation for 3DVAR Data Assimilation Applied on WRF with a Nested Domain Configuration M. Lam & J. Fung 10.3390/atmos12060682
- Constraining the Large‐Scale Analysis of a Regional Rapid‐Update‐Cycle System for Short‐Term Convective Precipitation Forecasting X. Tang et al. 10.1029/2018JD030190
- Comparing Partial and Continuously Cycling Ensemble Kalman Filter Data Assimilation Systems for Convection-Allowing Ensemble Forecast Initialization C. Schwartz et al. 10.1175/WAF-D-21-0069.1
- Survey of data assimilation methods for convective‐scale numerical weather prediction at operational centres N. Gustafsson et al. 10.1002/qj.3179
- Improving the regional model forecasting of persistent severe rainfall over the Yangtze River Valley using the spectral nudging and update cycle methods: a case study Y. Zhao et al. 10.1002/asl.731
- Introducing large‐scale analysis constraints in regional hybrid EnVar data assimilation for the prediction of triple typhoons Y. Wang et al. 10.1002/qj.4671
- A Dynamic Blending Scheme to Mitigate Large‐Scale Bias in Regional Models J. Feng et al. 10.1029/2019MS001754
- Dynamic Downscaling Simulation and Projection of Precipitation Extremes Over China Under a Shared Socioeconomic Pathway Scenario N. Luo et al. 10.1029/2022JD037133
- A Combined Approach to Improving the Regional Model Forecasts for the Rainy Season in China Y. Zhao et al. 10.1175/MWR-D-17-0037.1
- SINGV‐DA: A data assimilation system for convective‐scale numerical weather prediction over Singapore B. Heng et al. 10.1002/qj.3774
- Assessing the impact of a NWP warm‐start system on model spin‐up over tropical Africa J. Warner et al. 10.1002/qj.4429
- Assessing the Accuracy of 3D-VAR in Supercell Thunderstorm Forecasting: A Regional Background Error Covariance Study I. Samos et al. 10.3390/atmos14111611
- Blending of global and regional ensembles in cycling hybrid ensemble-variational data assimilation for the convection-permitting prediction of typhoon Merbok (2017) X. Qian et al. 10.1016/j.atmosres.2024.107502
21 citations as recorded by crossref.
- Impact of assimilating GOES imager clear‐sky radiance with a rapid refresh assimilation system for convection‐permitting forecast over Mexico C. Yang et al. 10.1002/2016JD026436
- An Implementation of Full Cycle Strategy Using Dynamic Blending for Rapid Refresh Short-range Weather Forecasting in China J. Feng et al. 10.1007/s00376-021-0316-7
- Background error covariances for a BlendVar assimilation system A. Bučánek & R. Brožková 10.1080/16000870.2017.1355718
- Improvements in the spread–skill relationship of precipitation in a convective‐scale ensemble through blending A. Gainford et al. 10.1002/qj.4754
- Estimation of Flow-Dependent Unbalanced Variances in Four-Dimensional Variational Data Assimilation 士. 侯 10.12677/AG.2020.107063
- Validation of ash cloud modelling with satellite retrievals: a case study of the 16–17 June 1996 Mount Ruapehu eruption J. Liu et al. 10.1007/s11069-015-1753-3
- On Applying Large-Scale Correction to Limited-Area Numerical Weather Prediction Models A. Dipankar et al. 10.3390/atmos13071142
- Evaluation and Bias Correction in WRF Model Forecasting of Precipitation and Potential Evapotranspiration T. Bughici et al. 10.1175/JHM-D-18-0160.1
- Model Sensitivity Evaluation for 3DVAR Data Assimilation Applied on WRF with a Nested Domain Configuration M. Lam & J. Fung 10.3390/atmos12060682
- Constraining the Large‐Scale Analysis of a Regional Rapid‐Update‐Cycle System for Short‐Term Convective Precipitation Forecasting X. Tang et al. 10.1029/2018JD030190
- Comparing Partial and Continuously Cycling Ensemble Kalman Filter Data Assimilation Systems for Convection-Allowing Ensemble Forecast Initialization C. Schwartz et al. 10.1175/WAF-D-21-0069.1
- Survey of data assimilation methods for convective‐scale numerical weather prediction at operational centres N. Gustafsson et al. 10.1002/qj.3179
- Improving the regional model forecasting of persistent severe rainfall over the Yangtze River Valley using the spectral nudging and update cycle methods: a case study Y. Zhao et al. 10.1002/asl.731
- Introducing large‐scale analysis constraints in regional hybrid EnVar data assimilation for the prediction of triple typhoons Y. Wang et al. 10.1002/qj.4671
- A Dynamic Blending Scheme to Mitigate Large‐Scale Bias in Regional Models J. Feng et al. 10.1029/2019MS001754
- Dynamic Downscaling Simulation and Projection of Precipitation Extremes Over China Under a Shared Socioeconomic Pathway Scenario N. Luo et al. 10.1029/2022JD037133
- A Combined Approach to Improving the Regional Model Forecasts for the Rainy Season in China Y. Zhao et al. 10.1175/MWR-D-17-0037.1
- SINGV‐DA: A data assimilation system for convective‐scale numerical weather prediction over Singapore B. Heng et al. 10.1002/qj.3774
- Assessing the impact of a NWP warm‐start system on model spin‐up over tropical Africa J. Warner et al. 10.1002/qj.4429
- Assessing the Accuracy of 3D-VAR in Supercell Thunderstorm Forecasting: A Regional Background Error Covariance Study I. Samos et al. 10.3390/atmos14111611
- Blending of global and regional ensembles in cycling hybrid ensemble-variational data assimilation for the convection-permitting prediction of typhoon Merbok (2017) X. Qian et al. 10.1016/j.atmosres.2024.107502
Saved (final revised paper)
Latest update: 13 Dec 2024
