Search
Now showing items 1-10 of 10
Forecaster Warning Decision Making with Rapidly-Updating Radar Data
(2017-12)
Phased-array radar is being considered as a potential future replacement technology for the current operational Weather Surveillance Radar 1988 Doppler system. One of the most notable differences in these weather radar ...
DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES
(2008)
Presently, the Signal-to-Noise-Ratio (SNR) measurement is used to determine the presence of a weather signal for Weather Surveillance Radar - 1988 Doppler (WSR-88D). Growing popularity of polarimetric radars prompts the ...
DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES
(2008)
Presently, the Signal-to-Noise-Ratio (SNR) measurement is used to determine the presence of a weather signal for Weather Surveillance Radar - 1988 Doppler (WSR-88D). Growing popularity of polarimetric radars prompts the ...
The uncoupled surface layer at the Crosstimber Micronet
(2006)
One of the greatest challenges faced by weather forecasters is the large spatial variability of temperature that occurs at small scales, particularly on clear nights with light wind. The physical processes that create this ...
KALMAN FILTER BASED TECHNIQUES FOR ASSIMILATION OF RADAR DATA
(2010)
The assimilation of radar data in storm-scale numerical weather prediction models is essential for improved forecasts of thunderstorm events. The huge computational cost of assimilating the high temporal and spatial ...
ON THE FURTHER STUDIES OF SUITABLE STORM-SCALE 3DVAR DATA ASSIMILATION FOR THE PREDICTION OF TORNADIC THUNDERSTORMS
(2011)
Storm-scale 3DVAR data assimilation and NWP for the prediction of tornadic supercell thunderstorms still faces many challenges. Some fundamental issues are still not thoroughly (or explicitly) investigated. To name a few: ...
Applications of Gaussian Mixture Model to Weather Observations
(2011)
The estimation of weather parameters such as attenuation and rainfall rates from weather radar data has been based mainly on deterministic regression models. The applications of a Bayesian approach to weather parameters ...
Applications of Gaussian Mixture Model to Weather Observations
(2011)
The estimation of weather parameters such as attenuation and rainfall rates from weather radar data has been based mainly on deterministic regression models. The applications of a Bayesian approach to weather parameters ...
Ensemble Kalman Filter Data Assimilation in the Presence of Large Model Error
(2010)
Though assimilation of synthetically generated surface flux "observations" into numerical forecast models has been attempted, the topic of observed flux data assimilation over land has received little attention. This may ...
Sensitivities of Explicit Hail Predictions and Convective Scale Ensemble Forecasting to Microphysics Parameterizations and Ensemble Data Assimilation Configurations
(2020-05)
The explicit prediction of deep, moist convection is challenging because small model and initial condition errors rapidly grow and degrade forecast skill. Microphysics schemes employed by convection-allowing models represent ...