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Articles 1 - 4 of 4
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.
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. …