An investigation of the sensitivity of predicting a severe rainfall event in northern Taiwan to the upstream condition with a WRF-based radar data assimilation system

Keyphrases

• Northern Taiwan 100%
• Rainfall Events 100%
• Data Assimilation Method 100%
• Radar Data Assimilation 100%
• Severe Rainfall 100%
• Upstream Conditions 100%
• Environmental Conditions 66%
• Afternoon Thunderstorm 66%
• Reflectivity 33%
• Southwestern Taiwan 33%
• Radar Data 33%
• Rainfall 33%
• Quality Control 33%
• Southern Taiwan 33%
• Radial Velocity Data 33%
• Radial Velocity 33%
• Assimilation System 33%
• Reflectance Data 33%
• Rainfall Amount 33%
• Rainfall Occurrence 33%
• Precipitation Rate 33%
• Local Ensemble Transform Kalman Filter (LETKF) 33%
• Precipitation Prediction 33%
• Light Rain 33%
• Hourly Precipitation 33%
• Forecast Sensitivity 33%

Earth and Planetary Sciences

• Taiwan 100%
• Data Assimilation 100%
• Radar Data 100%
• Reflectance 50%
• Thunderstorm 50%
• Radial Velocity 50%
• Quality Control 25%
• Hubble Space Telescope 25%
• Kalman Filter 25%