We have investigated the impact of varying physics parameterization schemes on the real-time short-term forecasts for the recent typhoon cases that affected South Korea. These files contain the main variables in WRF output data for 3-day forecasts of typhoons Trami (init:2018092700UTC) and Faxai (init:2019090600UTC). The domain spatial resolutions are 12X12km (D01) and 1.33X1.33km (D03). The data format is NetCDF containing detailed metadata. Three-dimensional meteorological field variables include the 10m wind components, accumulated rain, sea-level pressure, latitude, and longitude. Four-dimensional meteorological field variables include the U, V, T, Qc, Qr, Qi, Qs, and Qg
Simulation results from WRF-CHIMERE without aerosol feedbacks in eastern China for January-March 201...
Abstract: During the past decade, both research and operational numerical weather prediction models ...
Abstract Atmospheric motion vectors (AMVs) have produced positive impacts on global weather forecast...
We investigated the effect of a (non-)scale-aware convective parameterization scheme on simulations ...
Weather Research and Forecasting (WRF) model is useful for forecasting typhoons as an external force...
Forecasting skill of weather research and forecasting (WRF) model in simulating typhoons over the We...
The data provides the scripts and data need to produce Figures and Tables in the manuscript "A three...
This dataset is associated with the following papers: Lok et al. (2021): Importance of Air-Sea Co...
A high-resolution simulation of Hurricane Florence (2018) and Harvey (2017) is performed using the W...
In this study, the characteristics of simulated tropical cyclones (TCs) over the western North Pacif...
Supporting datasets for paper "Impact of Meteorological Factors on the Mesoscale Morphology of Cloud...
wrf_results.rar has 13 netcdf files, including one hindcast simulation and 12 future scenario simula...
This study evaluated the performance of the Weather Research and Forecasting (WRF) model version 3.7...
Weather Research and Forecast (WRF) is one of the most commonly used numerical weather prediction mo...
To predict the typhoon tracks and intensity in Northwestern Pacific (NWP), an operational typhoon pr...
Simulation results from WRF-CHIMERE without aerosol feedbacks in eastern China for January-March 201...
Abstract: During the past decade, both research and operational numerical weather prediction models ...
Abstract Atmospheric motion vectors (AMVs) have produced positive impacts on global weather forecast...
We investigated the effect of a (non-)scale-aware convective parameterization scheme on simulations ...
Weather Research and Forecasting (WRF) model is useful for forecasting typhoons as an external force...
Forecasting skill of weather research and forecasting (WRF) model in simulating typhoons over the We...
The data provides the scripts and data need to produce Figures and Tables in the manuscript "A three...
This dataset is associated with the following papers: Lok et al. (2021): Importance of Air-Sea Co...
A high-resolution simulation of Hurricane Florence (2018) and Harvey (2017) is performed using the W...
In this study, the characteristics of simulated tropical cyclones (TCs) over the western North Pacif...
Supporting datasets for paper "Impact of Meteorological Factors on the Mesoscale Morphology of Cloud...
wrf_results.rar has 13 netcdf files, including one hindcast simulation and 12 future scenario simula...
This study evaluated the performance of the Weather Research and Forecasting (WRF) model version 3.7...
Weather Research and Forecast (WRF) is one of the most commonly used numerical weather prediction mo...
To predict the typhoon tracks and intensity in Northwestern Pacific (NWP), an operational typhoon pr...
Simulation results from WRF-CHIMERE without aerosol feedbacks in eastern China for January-March 201...
Abstract: During the past decade, both research and operational numerical weather prediction models ...
Abstract Atmospheric motion vectors (AMVs) have produced positive impacts on global weather forecast...