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Variability of Tropical Cyclones in the Philippines
(2014-05-09)
The massive impacts of tropical cyclones (TCs) on the Philippines are well known. This study provides an improved understanding of TC activity in the country, allowing improved risk mitigation strategies that possibly can ...
Polarimetric Radar Observations and Numerical Simulations of Tornadic Debris
(2014-05-09)
Tornadic debris are critical aspects of tornado studies because airborne debris pose significant threats to life and property, and debris often dominate backscattered radar signals, causing biased Doppler velocity measurements. ...
ASSIMILATION OF RADAR OBSERVATIONS WITH ENSEMBLE VARIATIONAL HYBRID DATA ASSIMILATION METHOD FOR THE INITIALIZATION AND PREDICTION OF HURRICANES
(2015-05-08)
Data assimilation is a critical component for accurate model forecast. This dissertation investigated the ensemble-variational hybrid data assimilation methods using land based radar and airborne radar data for the prediction ...
Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction
(2016-08-12)
Meteorologists have access to more model guidance and observations than ever before, but this additional information does not necessarily lead to better forecasts. New tools are needed to reduce the cognitive load on ...
Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs.
(2015-12-18)
The radar data assimilation is very important for improving short-range precipitation forecasts. Within the three dimensional variational (3DVAR) framework which is still the prevailing method used for operational regional ...
DEVELOPMENT OF ARPS LETKF WITH FOUR DIMENSIONAL EXTENSION AND INTERCOMPARISON WITH ARPS ENSRF
(2013-12)
The local ensemble transform Kalman filter (LETKF) has not been applied the storm-scale radar data assimilation (DA) problem until very recently. In this work, LETKF and its four-dimensional version, 4D-LETKF, are implemented ...
The Use of Polarimetric Radar Data for Informing Numerical Weather Prediction Models
(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 ...
QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE
(2013-11)
Information on the uncertainties in projections of future climate change from global climate models (GCMs) is vital for their effective use across a wide range of applications, including their increasing role in driving ...
Charge Structure and Lightning Patterns in a Simulated Mesoscale Convective System
(2016-05-13)
Observational analyses of electric field measurements and inferred charge structure within the stratiform region of a mesoscale convective system (MCS) repeatedly reveal quasi-steady, horizontal charge layers at and above ...
ENSEMBLE KALMAN FILTER METHODS FOR CONVECTIVE-SCALE RADAR DATA ASSIMILATION AND MULTI-SCALE DATA ASSIMILATION OF THE 13 JUNE 2010 TORNADIC SUPERCELL ENVIRONMENT
(2014-08-15)
Ensemble data assimilation at convective-scales will need to solve a number of scientific and technical issues prior to being usable for operational numerical weather prediction. This research contributes to this goal by ...