High Resolution Mesoscale Weather Data Improvement to Spatial Effects for Dose-Rate Contour Plot Predictions - Softcover

Jones, Christopher P

 
9781288230273: High Resolution Mesoscale Weather Data Improvement to Spatial Effects for Dose-Rate Contour Plot Predictions

Synopsis

Reanalysis weather data is obtained for dates surrounding historical nuclear tests and processed through Regional Atmospheric Modeling System (RAMS) software to produce a high-resolution weather forecast. Output from RAMS is visualized to check for validity and input into Hazard Prediction and Assessment Capability (HPAC) software and modeled predictions are compared to historical observation data. Simulations are conducted using constant high resolution weather and varying terrain resolution. The HPAC prediction is numerically compared to historical observation data. The result of this research culminated in the knowledge that early-time, low-altitude wind data was neglected by HPAC's incorporation of the Defense Land Fallout Interpretive Code (DELFIC) Cloud Rise Module, resulting in HPAC predictions being inaccurate for early fallout deposition.

"synopsis" may belong to another edition of this title.

About the Author

Christopher P. Jones is George Martin Lane Professor of the Classics and of History, Emeritus, Harvard University.

"About this title" may belong to another edition of this title.