Results 141 to 150 of about 19,742 (227)

RTEDAP framework for real-time event-driven data aggregation and processing in tsunami early warning systems. [PDF]

Sci Rep
Umadevi M, Gopal D, Nishok VS, Dhanasekar J.   +3 more
europepmc   +1 more source

Dimensionality Reduction Techniques for Analyzing Tsunami Simulations in Hazard Assessment and Forecasting Applications

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract A wide selection of linear and non‐linear dimensionality reduction techniques is evaluated on synthetic tsunami data that is the basis for tsunami hazard assessment and computational forecasting. The data were computed from earthquake rupture forecasts (ERFs) supplying initial generation conditions and a linear long‐wave Green's function ...
Eric L. Geist, Tom Parsons
wiley   +1 more source

No Place to Hide? Regional Resilience and Vulnerability to Global Catastrophic Risk. [PDF]

Glob Chall
Jehn FU, Rössler M, Kemp L, Cassidy M, Kallenborn Z, García Martínez JB, Mani L, Boyd M.   +7 more
europepmc   +1 more source

Predicting natural catastrophes: tsunamis

, 2005
1. Tsunamis - Introduction - Definition of phenomenon - basic properties of the waves Propagation and dispersion Interaction with coasts - Geological and societal effects Origin of tsunamis - natural sources Scientific activities in connection with ...
Okal, E
core  

Two Localization Strategies for Sequential MCMC Data Assimilation With Applications to Nonlinear Non‐Gaussian Geophysical Models

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.
Abstract We present a localized data assimilation (DA) scheme based on sequential Markov Chain Monte Carlo (SMCMC) (Ruzayqat et al., 2024, https://doi.org/10.1002/qj.4710), a provably convergent method for filtering high‐dimensional, nonlinear, and potentially non‐Gaussian state‐space models (SSMs).
Hamza Ruzayqat, Hristo G. Chipilski, Omar Knio   +2 more
wiley   +1 more source

Honoring Our Work, Shaping Our Future. [PDF]

AORN J
Reinhart D.
europepmc   +1 more source

‘You know you're going to get through this’: Volunteers and long‐term disaster recovery

Disasters, Volume 50, Issue 4, October 2026.
Abstract As nature‐induced disasters intensify and reliance on volunteer support grows, volunteers are now increasingly critical to disaster response and recovery, particularly in countries like Australia. This paper advances our empirical understanding of volunteer contributions to long‐term disaster recovery.
Nikita Sharma, Ella Kuskoff, Cameron Parsell   +2 more
wiley   +1 more source

Towards Tsunami Early-Warning with Distributed Acoustic Sensing: Expected Seafloor Strains Induced by Tsunamis. [PDF]

Pure Appl Geophys
Becerril C, Sladen A, Ampuero JP, Preciado-Garbayo J, Gonzalez-Herraez M, Kutschera F, Gabriel AA, Bouchette F.   +7 more
europepmc   +1 more source

Disaster Relief Through a Complex Adaptive System Perspective: Firms' Motivations, Activities, and the Role of Operations Adaptability in Overlapping Landscapes

Journal of Business Logistics, Volume 47, Issue 4, October 2026.
ABSTRACT Natural disasters disrupt the normal functioning of both communities and businesses. However, past literature often segregates the disaster relief view from the business continuity perspective, leaving a gap in understanding how firms can proactively support relief efforts.
Thu Trang Hoang, Peter M. Ralston, William J. Rose   +2 more
wiley   +1 more source

Tsunami inversion using deep neural representations. [PDF]

Sci Rep
Morssy A, Teal PD, Kleijn WB.
europepmc   +1 more source