Ru, Yi. M.S., Purdue University, December, 2007. Volumetric Visualization of NEXRAD Level II Doppler Weather Data from Multiple Sites. Major Professor: Gary R. Bertoline. Weather visualization is critical for operational forecasters and weather researchers to analyze, monitor, and predict severe weather events such as storms, tornadoes, and hurricanes. Usually measured weather datasets such as ...

The income-health gradient is a well-established finding in public health. This paper explores the gradient between income and different types of mortality: mortality that can be ameliorated via specific public policy measures, namely traffic fatalities, and mortality that is due to more “natural” causes, such as infectious disease. Using U.S. state-level data, growth in traffic mortality for 1...

Recent work has shown the important properties of the wind inversion residual or Maximum Likelihood Estimator (MLE) for Quality Control (QC) of QuikSCAT Hierarchichal Data Format (HDF) observations. Since March 2000, the QuikSCAT Near-Real Time (NRT) Binary Universal Format Representation (BUFR) product is available. As this product is used for Numerical Weather Prediction (NWP) assimilation pu...

The investigation of weather effects on traffic intensity is important from a road safety point of view, because traffic intensity is noted as the first and primary determinant of traffic safety. Next to traffic safety, weather conditions affect other predominant traffic variables, namely traffic demand and traffic flow. Therefore the main objective of this study is the identification and compa...

We have extended an analytical workload model for estimating en route sector capacity to include the impact of convective weather. We use historical weather avoidance data to characterize weather blockage, which affects the sector workload in three ways: (1) Increase in the conflict resolution task rate via reduction in available airspace, (2) increase in the recurring task load through the rer...

1 2 ABSTRACT 3 4 The weather-sensitive Traffic Estimation and Prediction System (TrEPS) aims to accurately 5 estimate and predict traffic state under inclement weather conditions. Successful application 6 of weather-sensitive TrEPS requires detailed calibration of weather effects on traffic flow 7 model. In this paper, systematic procedures of the entire calibration process are developed, 8 fro...