Results 51 to 60 of about 280 (168)

Mapping Philadelphia's Floodscape: A 35‐Year Analysis of Coastal Urban Flood Hazards and Drivers

Earth's Future, Volume 14, Issue 2, February 2026.
Abstract Low‐lying coastal urban cities face significant flooding risks from river flooding (fluvial), storm surges and high tides (coastal), and intense local rainfall (pluvial). Accurately assessing these hazards requires modeling frameworks capable of capturing both the individual and combined effects of multiple flood drivers, as well as the ...
Ning Sun, Youngjun Son, Cade Reesman, Xue Li, Mithun Deb, William Perkins, Zhaoqing Yang, Karthik Balaguru, David Judi   +8 more
wiley   +1 more source

Analysis of Hurricane Irene’s Wind Field Using the Advanced Research Weather Research and Forecast (WRF-ARW) Model

Journal of Marine Science and Engineering, 2014
Hurricane Irene caused widespread and significant impacts along the U.S. east coast during 27–29 August 2011. During this period, the storm moved across eastern North Carolina and then tracked northward crossing into Long Island and western New England ...
Alfred M. Klausmann
doaj   +1 more source

Emerging Importance of Compound Flooding in Future Tropical Cyclone Hazard Profiles

Earth's Future, Volume 14, Issue 2, February 2026.
Abstract Accurately assessing tropical cyclone (TC) flood risk requires capturing the dynamic interactions between rainfall‐driven and coastal flood processes. We simulate flooding from over 2,800 synthetic TCs impacting five HUC6 watersheds in eastern North and South Carolina under historical and future (SSP5‐8.5) conditions using climatologically ...
Lauren E. Grimley, Antonia Sebastian, Avantika Gori   +2 more
wiley   +1 more source

Neural Operators for Continuous Bias Correction of Water Level Forecast Guidance

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract The National Oceanic and Atmospheric Administration's (NOAA) Global Two‐Dimensional Surge and Tide Operational Forecast System (STOFS‐2D‐Global) provides global operational tidal, subtidal, and total water level forecast guidance with a 7.5‐day horizon.
Atieh Alipour, Fariborz Daneshvar, Soroosh Mani, Gregory Seroka, Lei Shi, Zizang Yang, Yuji Funakoshi, Georgios Britzolakis, Edward Payson Myers, Kamyar Azizzadenesheli, Saeed Moghimi   +10 more
wiley   +1 more source

Multiscale Numerical Modeling of Wave Overtopping for Pedestrian Hazard Classification and Risk Assessment

Journal of Marine Science and Engineering
The risk of wave overtopping is amplifying under sea-level rise and increased frequency of extreme coastal events. Conventional empirical and physical methods for estimating overtopping characteristics are limited by site-specific assumptions, which ...
Jong Yoon Mun, Wan Hee Cho, Khawar Rehman   +2 more
doaj   +1 more source

Meteorological Tsunamis: From Local Hazard to Global Relevance

Reviews of Geophysics, Volume 63, Issue 4, December 2025.
Abstract Research on meteorological tsunamis or meteotsunamis—long ocean waves in the tsunami frequency band generated by propagating atmospheric disturbances which resonantly enhance ocean waves—has grown significantly in recent decades. This expansion is due to progress in (a) ocean and atmospheric measurements, including advanced instrumentation ...
Ivica Vilibić, Petra Zemunik Selak, Jadranka Šepić   +2 more
wiley   +1 more source

Exploring Machine Learning Capabilities for High Spatiotemporal Resolution Storm Surge Reconstructions

Earth and Space Science, Volume 12, Issue 11, November 2025.
Abstract In storm surge (SS) simulation, data‐driven methods can establish the relationship between predictor variables and the predictand, enabling long‐term SS level reconstructions. Here, using the U.S. East Coast as an example, we explored the capabilities of four machine learning algorithms, namely Artificial Neural Networks (ANN), Long Short‐Term
Qi Feng, Taoyong Jin, Lianjun Yang, Jiancheng Li   +3 more
wiley   +1 more source

SWEMniCS: a software toolbox for modeling coastal ocean circulation, storm surges, inland, and compound flooding

npj Natural Hazards
Flooding from storm surges, rainfall-runoff, and their interaction into compounding events are major natural hazards in coastal regions. To assess risks of damages to life and properties alike, numerical models are needed to guide emergency responses and
Clint Dawson, Mark Loveland, Benjamin Pachev, Jennifer Proft, Eirik Valseth   +4 more
doaj   +1 more source

Understanding Hurricane Storm Surge Generation and Propagation Using a Forecasting Model, Forecast Advisories and Best Track in a Wind Model, and Observed Data—Case Study Hurricane Rita

Journal of Marine Science and Engineering, 2019
Meteorological forcing is the primary driving force and primary source of errors for storm surge forecasting. The objective of this study was to learn how forecasted meteorological forcing influences storm surge generation and propagation during a ...
Abram Musinguzi, Muhammad K. Akbar, Jason G. Fleming, Samuel K. Hargrove   +3 more
doaj   +1 more source

Assessing Future Coastal Flood Hazards From Tropical Cyclones in the Northeastern United States

Earth's Future, Volume 13, Issue 11, November 2025.
Abstract Coastal flooding from tropical cyclone (TC)‐induced storm surges is among the most devastating natural hazards in the US. Accurately quantifying storm surge hazards is crucial for risk mitigation and climate adaptation. In this study, we conduct climatology‐hydrodynamic modeling to estimate TC surge hazards along the US northeast coastline ...
Amirhosein Begmohammadi, Ning Lin, Dazhi Xi, Christine Blackshaw   +3 more
wiley   +1 more source