Articles | Volume 7, issue 4
Geosci. Model Dev., 7, 1819–1828, 2014
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.
Geosci. Model Dev., 7, 1819–1828, 2014
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 et al.
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Cited
13 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
- 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
- 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
- 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
- A Dynamic Blending Scheme to Mitigate Large‐Scale Bias in Regional Models J. Feng et al. 10.1029/2019MS001754
- 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
13 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
- 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
- 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
- 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
- A Dynamic Blending Scheme to Mitigate Large‐Scale Bias in Regional Models J. Feng et al. 10.1029/2019MS001754
- 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
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