Browsing by Author "Gao, Jidong"
Now showing items 1-5 of 5
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Drop Size Distribution Retrieval from Radar Data to Enhance the Spectral Bin Classification in Detecting Icing Conditions
Lis, Nathan (2020-07-31)The emerging Federal Aviation Administration (FAA) restrictions on flight into and out of terminal airspaces (TASs) require discrimination between freezing rain, freezing drizzle, and other forms of winter precipitation ... -
Evaluation of the experimental warn-on-forecast system and WoF-hybrid 3DEnVar system on short-term forecasts for 2021 real-time cases
Carpenter, Noah (2022-12-16)Over the last few decades, it has become more important than ever to provide accurate forecasts for severe hazards that have become more common due to climate change effects. Over this time, several forecasting experiments ... -
Improving short-term forecast of severe and high-impact weather events using a weather-dependent hybrid ensemble-variational data assimilation system with radar and satellite derived observations
Pan, Sijie (2023-05-12)A hybrid ensemble-variational (EnVAR) data assimilation and forecast system, namely WoF-Hybrid, was initially developed at the National Severe Storms Laboratory (NSSL) supported by the NOAA Warn-on-Forecast project (WoF). ... -
SIMULTANEOUS ASSIMILATION OF RADAR AND SATELLITE DATA FOR CONVECTIVE SCALE NWP USING HYBRID ENSEMBLE VARIATIONAL DATA ASSIMILATION APPROACH
Pan, Sijie (2017)Recently, an ensemble of the three-dimensional variational data assimilation (En3DA) system has been developed based on Advanced Regional Prediction System (ARPS) three-dimensional variational (3DVar) data assimilation ... -
The Use of Polarimetric Radar Data for Informing Numerical Weather Prediction Models
Carlin, Jacob (2018-05-11)The explicit prediction of convective storms using storm-scale models has recently become a reality. Radar data is a crucial source of information about the microphysical and kinematic properties of convection at the ...