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- Physical Sciences Presentations (2)
- Virginia (2)
- Academic -- UNF -- Engineering; Natural Hazards; Storm Surge; Tropical Cyclone; Joint Probability Method; Annual Exceedance Probability; New York Bight (1)
- Academic -- UNF -- Master of Science in Civil Engineering; Dissertations (1)
- Coastal flooding (1)
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Articles 1 - 6 of 6
Full-Text Articles in Meteorology
Street-Level Predictive Modeling Of Nuisance Flooding Verified Via Crowdsourced App Data In Norfolk, Va, J. D. Loftis, H. V. Wang, D R. Forrest
Street-Level Predictive Modeling Of Nuisance Flooding Verified Via Crowdsourced App Data In Norfolk, Va, J. D. Loftis, H. V. Wang, D R. Forrest
Presentations
No abstract provided.
Horizontal Phase Speed Distribution Of Gravity Waves Observed In Mesospheric Temperature Maps, Ahmad Talaei, Mike Taylor, Pierre-Dominique Pautet, Yucheng Zhao, Takashi S. Matsuda, Takuji Nakamura
Horizontal Phase Speed Distribution Of Gravity Waves Observed In Mesospheric Temperature Maps, Ahmad Talaei, Mike Taylor, Pierre-Dominique Pautet, Yucheng Zhao, Takashi S. Matsuda, Takuji Nakamura
Ahmad Talaei
The goal of the current work is to develop a method suitable for analyzing the horizontal phase speeds of atmospheric gravity waves from an extensive amount of gravity wave data obtained by the USU Advanced Mesospheric Temperature Mapper (AMTM) from Logan, Utah and South Pole, Antarctica. AMTM is a novel infrared digital imaging system that measures selected emission lines in the mesospheric OH (3,1) band to create intensity and temperature maps of the mesosphere. This analysis builds on the recent work by Matsuda et al. using all-sky (180° field-of-view) intensity data to investigate the gravity waves horizontal phase speed distribution. …
Sfa Weather Station-March 2015, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University
Sfa Weather Station-March 2015, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University
Weather Station Data
No abstract provided.
Sfa Weather Station-February 2015, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University
Sfa Weather Station-February 2015, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University
Weather Station Data
No abstract provided.
Towards Predicting Street-Level Inundation: Using Operational Forecast Modeling Techniques During 2011 Hurricane Irene, J. D. Loftis, H. V. Wang, D. R. Forrest
Towards Predicting Street-Level Inundation: Using Operational Forecast Modeling Techniques During 2011 Hurricane Irene, J. D. Loftis, H. V. Wang, D. R. Forrest
Presentations
Storm surge-induced coastal inundation poses numerous personal, commercial, industrial, and sociopolitical challenges for society. Flooding can be caused by the combination of storm surge and river-induced inland flooding in many locations throughout the coastal plain. The cross-disciplinary nature of the hydrodynamics involved (hydraulics, oceanography, and hydrology), coupled with the complexity of the atmospheric forcing, makes a numerical model the best approach for a comprehensive study of the dynamics of coastal inundation.
This study builds upon the lessons learned from forecast modeling experiences during 2011 Hurricane Irene in Tidewater Virginia, to ascertain the most effective way to approach predicting street-level inundation. …
The Simulation & Evaluation Of Surge Hazard Using A Response Surface Method In The New York Bight, Michael H. Bredesen
The Simulation & Evaluation Of Surge Hazard Using A Response Surface Method In The New York Bight, Michael H. Bredesen
UNF Graduate Theses and Dissertations
Atmospheric features, such as tropical cyclones, act as a driving mechanism for many of the major hazards affecting coastal areas around the world. Accurate and efficient quantification of tropical cyclone surge hazard is essential to the development of resilient coastal communities, particularly given continued sea level trend concerns. Recent major tropical cyclones that have impacted the northeastern portion of the United States have resulted in devastating flooding in New York City, the most densely populated city in the US. As a part of national effort to re-evaluate coastal inundation hazards, the Federal Emergency Management Agency used the Joint Probability Method …