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

Jones, Christopher P.

 
9781288230273: High Resolution Mesoscale Weather Data Improvement to Spatial Effects for Dose-Rate Contour Plot Predictions
Tapa blanda
ISBN 10: 1288230273 ISBN 13: 9781288230273
Editorial: BiblioScholar, 2012

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

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.

Biografía del autor

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

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
BiblioScholar
Año de publicación
2012
Idioma
Inglés
ISBN 10 
1288230273
ISBN 13 
9781288230273
Encuadernación
Tapa blanda
Número de páginas
150
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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