Articles | Volume 17, issue 4
https://doi.org/10.5194/nhess-17-563-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-563-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Apr 2017
Research article |
| 13 Apr 2017
Numerical rainfall simulation with different spatial and temporal evenness by using a WRF multiphysics ensemble
Jiyang Tian
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing, 100038, China
Jia Liu
CORRESPONDING AUTHOR
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing, 100038, China
State Key Laboratory of Hydrology-Water Resource and Hydraulic
Engineering, Hohai University, Nanjing, 210098, China
Denghua Yan
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing, 100038, China
Chuanzhe Li
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing, 100038, China
Fuliang Yu
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing, 100038, China
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23 citations as recorded by crossref.
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- Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity W. Wang et al. 10.3390/rs13040595
- Assessment of WRF microphysics and cumulus parameterizations in simulating heavy rainfall events over Badulu Oya catchment, Sri Lanka P. Gimhan et al. 10.2166/wcc.2022.371
- A Flood Forecasting Framework Coupling a High Resolution WRF Ensemble With an Urban Hydrologic Model S. Davis et al. 10.3389/feart.2022.883842
- A coupled atmospheric–hydrologic modeling system with variable grid sizes for rainfall–runoff simulation in semi-humid and semi-arid watersheds: how does the coupling scale affects the results? J. Tian et al. 10.5194/hess-24-3933-2020
- Assessing the Impact of the Urban Landscape on Extreme Rainfall Characteristics Triggering Flood Hazards Y. Umer et al. 10.3390/hydrology10010015
- Evaluation of the WRF physical parameterisations for Typhoon rainstorm simulation in southeast coast of China J. Tian et al. 10.1016/j.atmosres.2020.105130
- Application of Variational Optical Flow Forecasting Technique Based on Precipitation Spectral Decomposition to Three Case Studies of Heavy Precipitation Events during Rainy Season in Hebei Province J. Tian et al. 10.3390/w15122204
- Performance of the WRF model in simulating intense precipitation events over the Hanjiang River Basin, China – A multi-physics ensemble approach Q. Yang et al. 10.1016/j.atmosres.2020.105206
- Coupling WRF with HEC-HMS and WRF-Hydro for flood forecasting in typical mountainous catchments of northern China S. Jam-Jalloh et al. 10.5194/nhess-24-3155-2024
- Effect of the Assimilation Frequency of Radar Reflectivity on Rain Storm Prediction by Using WRF-3DVAR Y. Liu et al. 10.3390/rs13112103
- Sensitivity of Rainfall to Cumulus Parameterization Schemes from a WRF Model over the City of Douala in Cameroon R. Tanessong et al. 10.1142/S2345737621500214
- Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: from the hydrological perspective J. Liu et al. 10.5194/hess-22-4329-2018
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- High-resolution air quality modeling in a medium-sized city in the tropical Andes: Assessment of local and global emissions in understanding ozone and PM10 dynamics C. González et al. 10.1016/j.apr.2018.03.003
- Impact of different microphysics and cumulus parameterizations in WRF for heavy rainfall simulations in the central segment of the Tianshan Mountains, China Y. Liu et al. 10.1016/j.atmosres.2020.105052
- Evaluation of the ability of the Weather Research and Forecasting model to reproduce a sub-daily extreme rainfall event in Beijing, China using different domain configurations and spin-up times Q. Chu et al. 10.5194/hess-22-3391-2018
- Numerical Rainfall Simulation of Different WRF Parameterization Schemes with Different Spatiotemporal Rainfall Evenness Levels in the Ili Region Z. Mu et al. 10.3390/w11122569
- Sensitivity analysis of cumulus and microphysics schemes in the WRF model in simulating Extreme Rainfall Events over the hilly terrain of Nagaland R. Biswasharma et al. 10.1016/j.atmosres.2024.107393
- Ensemble flood forecasting based on a coupled atmospheric-hydrological modeling system with data assimilation J. Tian et al. 10.1016/j.atmosres.2019.03.029
- A WRF/WRF-Hydro Coupled Forecasting System with Real-Time Precipitation–Runoff Updating Based on 3Dvar Data Assimilation and Deep Learning Y. Liu et al. 10.3390/w15091716
- Evaluation of the WRF Model to Simulate a High-Intensity Rainfall Event over Kampala, Uganda Y. Umer et al. 10.3390/w13060873
- High-resolution WRF simulations of a monsoon event (2019) over the Badulu Oya Catchment, Sri Lanka: Role of cumulus parameterization condition and microphysics schemes P. Gimhan et al. 10.1007/s12040-023-02186-y
23 citations as recorded by crossref.
- A multi-physics ensemble approach for short-term precipitation forecasts at convective permitting scales based on sensitivity experiments over southern parts of peninsular India S. Kirthiga et al. 10.1007/s12040-021-01556-8
- Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity W. Wang et al. 10.3390/rs13040595
- Assessment of WRF microphysics and cumulus parameterizations in simulating heavy rainfall events over Badulu Oya catchment, Sri Lanka P. Gimhan et al. 10.2166/wcc.2022.371
- A Flood Forecasting Framework Coupling a High Resolution WRF Ensemble With an Urban Hydrologic Model S. Davis et al. 10.3389/feart.2022.883842
- A coupled atmospheric–hydrologic modeling system with variable grid sizes for rainfall–runoff simulation in semi-humid and semi-arid watersheds: how does the coupling scale affects the results? J. Tian et al. 10.5194/hess-24-3933-2020
- Assessing the Impact of the Urban Landscape on Extreme Rainfall Characteristics Triggering Flood Hazards Y. Umer et al. 10.3390/hydrology10010015
- Evaluation of the WRF physical parameterisations for Typhoon rainstorm simulation in southeast coast of China J. Tian et al. 10.1016/j.atmosres.2020.105130
- Application of Variational Optical Flow Forecasting Technique Based on Precipitation Spectral Decomposition to Three Case Studies of Heavy Precipitation Events during Rainy Season in Hebei Province J. Tian et al. 10.3390/w15122204
- Performance of the WRF model in simulating intense precipitation events over the Hanjiang River Basin, China – A multi-physics ensemble approach Q. Yang et al. 10.1016/j.atmosres.2020.105206
- Coupling WRF with HEC-HMS and WRF-Hydro for flood forecasting in typical mountainous catchments of northern China S. Jam-Jalloh et al. 10.5194/nhess-24-3155-2024
- Effect of the Assimilation Frequency of Radar Reflectivity on Rain Storm Prediction by Using WRF-3DVAR Y. Liu et al. 10.3390/rs13112103
- Sensitivity of Rainfall to Cumulus Parameterization Schemes from a WRF Model over the City of Douala in Cameroon R. Tanessong et al. 10.1142/S2345737621500214
- Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: from the hydrological perspective J. Liu et al. 10.5194/hess-22-4329-2018
- Intercomparison of atmospheric forcing datasets and twoPBLschemes for precipitation modelling over a coastal valley in northern British Columbia, Canada C. Onwukwe et al. 10.1002/met.2043
- High-resolution air quality modeling in a medium-sized city in the tropical Andes: Assessment of local and global emissions in understanding ozone and PM10 dynamics C. González et al. 10.1016/j.apr.2018.03.003
- Impact of different microphysics and cumulus parameterizations in WRF for heavy rainfall simulations in the central segment of the Tianshan Mountains, China Y. Liu et al. 10.1016/j.atmosres.2020.105052
- Evaluation of the ability of the Weather Research and Forecasting model to reproduce a sub-daily extreme rainfall event in Beijing, China using different domain configurations and spin-up times Q. Chu et al. 10.5194/hess-22-3391-2018
- Numerical Rainfall Simulation of Different WRF Parameterization Schemes with Different Spatiotemporal Rainfall Evenness Levels in the Ili Region Z. Mu et al. 10.3390/w11122569
- Sensitivity analysis of cumulus and microphysics schemes in the WRF model in simulating Extreme Rainfall Events over the hilly terrain of Nagaland R. Biswasharma et al. 10.1016/j.atmosres.2024.107393
- Ensemble flood forecasting based on a coupled atmospheric-hydrological modeling system with data assimilation J. Tian et al. 10.1016/j.atmosres.2019.03.029
- A WRF/WRF-Hydro Coupled Forecasting System with Real-Time Precipitation–Runoff Updating Based on 3Dvar Data Assimilation and Deep Learning Y. Liu et al. 10.3390/w15091716
- Evaluation of the WRF Model to Simulate a High-Intensity Rainfall Event over Kampala, Uganda Y. Umer et al. 10.3390/w13060873
- High-resolution WRF simulations of a monsoon event (2019) over the Badulu Oya Catchment, Sri Lanka: Role of cumulus parameterization condition and microphysics schemes P. Gimhan et al. 10.1007/s12040-023-02186-y
Latest update: 20 Nov 2024
Short summary
Accurately simulating and predicting the precipitation by numerical weather prediction is a difficult task for medium-sized catchments in semi-humid regions. This study shows that using multiphysics ensembles is a good method to reduce the uncertainties of rainfall simulation. This paper provides more guidance for choosing the physical parameterizations for accurate rainfall simulations of different storm types in semi-humid regions.
Accurately simulating and predicting the precipitation by numerical weather prediction is a...
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