Results 51 to 60 of about 1,949 (212)

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

Using surrogate modeling to predict storm surge on evolving landscapes under climate change

npj Natural Hazards
Planners managing coastal flood risk under a constrained computational budget face a tradeoff. Simulating many time periods or scenarios limits how many storm simulations can be run on each landscape. In this analysis, we present a deep learning model to
Mohammad Ahmadi Gharehtoragh, David R. Johnson   +1 more
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

Hidrodinámica costera durante el huracán Wilma (2005) en Artemisa, Mayabeque y La Habana

Ingeniería Hidráulica y Ambiental, 2020
Este trabajo tuvo como objetivo estudiar, mediante simulación computacional, la influencia sobre el nivel del mar de los fenómenos: marea astronómica, surgencia y oleaje en las costas de las provincias Artemisa, Mayabeque y La Habana. Los códigos ADCIRC
Janner Rodríguez Pérez, Luis F. Córdova López, Ovel Díaz García   +2 more
doaj  

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

Simulating Storm Surge Impacts with a Coupled Atmosphere-Inundation Model with Varying Meteorological Forcing

Journal of Marine Science and Engineering, 2018
Storm surge events have the potential to cause devastating damage to coastal communities. The magnitude of their impacts highlights the need for increased accuracy and real-time forecasting and predictability of storm surge.
Alexandra N. Ramos Valle, Enrique N. Curchitser, Cindy L. Bruyere, Kathryn R. Fossell   +3 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

Real-Time Chronological Hazard Impact Modeling

Journal of Marine Science and Engineering, 2018
The potential of using ADvanced CIRCulation model (ADCIRC) to assess the time incremented progression of hazard impacts on individual critical facilities has long been recognized but is not well described.
Peter Stempel, Isaac Ginis, David Ullman, Austin Becker, Robert Witkop   +4 more
doaj   +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

Spatiotemporal Deep Learning to Forecast Storm Surge Water Levels and Storm Trajectory: Case Study Hurricane Harvey

Journal of Marine Science and Engineering
Using Hurricane Harvey as a case study, this paper uses the hurricane track, wind velocity and pressure, bathymetry, Manning’s n coefficients, tidal forcing, and storm surge results generated by the ADCIRC+SWAN model as input to construct a uniform ...
Junqin Hou, Muhammad K. Akbar, Manar D. Samad, Lizhi Ouyang   +3 more
doaj   +1 more source