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Can AI help coastal cities prepare for rising seas and extreme events?

Phys · · 1004 words · By Andrea Ficchì; Emiliano Longo
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What to know about Can AI help coastal cities prepare for rising seas and extreme events?

The article discusses a new artificial intelligence model designed to predict extreme storm surges and coastal flood risks with higher speed and accuracy than traditional physics-based models. It highlights a case study focused on New York City and emphasizes the importance of combining AI with physical realism to improve disaster preparedness and adaptation planning.

Propaganda risk 10%
Claims checked 5
Techniques found 0
Topics 0

Coverage spectrum

Coverage gap: Low Left coverage
Left0%
Center80%
Right20%

5 sources compared across this story cluster. This is an eFinder estimate from indexed source coverage, not an editorial rating.

What happened

Phys reports: Can AI help coastal cities prepare for rising seas and extreme events?.

Why it matters

Gaby Clark Scientific Editor Robert Egan Associate Editor Our novel artificial intelligence model can predict extreme storm surges with high accuracy, including under future climate conditions.

Common ground

Because the AI model runs much faster, it can help researchers and practitioners better assess coastal flood risk for adaptation planning.

Perspective signals

No major persuasion pattern has been attached yet, so the source, headline, and evidence should carry most of the weight for readers.

The article discusses a new artificial intelligence model designed to predict extreme storm surges and coastal flood risks with higher speed and accuracy than traditional physics-based models. It highlights a case study focused on New York City and emphasizes the importance of combining AI with physical realism to improve disaster preparedness and adaptation planning.

open_in_new Read the original article: https://phys.org/news/2026-06-ai-coastal-cities-seas-extreme.html

analyticsAnalysis

10%
Propaganda Score
confidence: 95%
Low risk. This article shows minimal use of propaganda techniques.

fact_checkClaims Checked

eFinder analyzed this article and checked 5 claims against available evidence, cross-references, web search, and Wikipedia. Here is what the fact-checking layer found.

check_circle Corroborated 4
info Single Source 1
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Claim 1: “For the more than 10% of the global population living in low-lying coastal regions, the combination of gradual mean sea level rise and increasingly intense extreme events represents a growing threat.”
CORROBORATED
The claim that approximately 10% of the global population lives in low-lying coastal regions is supported by multiple independent sources, including The Conversation and two separate web search results.
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wikipedia NEUTRAL — More may refer to:
https://en.wikipedia.org/wiki/More
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wikipedia NEUTRAL — "More, More, More" is a song written by Gregg Diamond and recorded by American artist Andrea True (credited to her recording project Andrea True Connection). It was released in February 1976 by Buddah…
https://en.wikipedia.org/wiki/More,_More,_More
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wikipedia NEUTRAL — Sir Thomas More (7 February 1478 – 6 July 1535), venerated in the Catholic Church as a martyr and saint, was an English lawyer, judge, social philosopher, author, statesman, theologian and Renaissance…
https://en.wikipedia.org/wiki/Thomas_More
+ 4 more evidence sources
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Claim 2: “Our AI emulator relies on openly available physics-based simulations from the Global Tide and Surge Model (GTSM)”
CORROBORATED
The use of the Global Tide and Surge Model (GTSM) for the AI emulator is confirmed by The Conversation and a separate web search result. Additionally, Deltares confirms the existence and purpose of the GTSM.
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wikipedia NEUTRAL — IFS (originally Industrial and Financial Systems) is a global enterprise software and industrial AI software company headquartered in London, United Kingdom. The company develops cloud-based enterpris…
https://en.wikipedia.org/wiki/IFS_AB
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wikipedia NEUTRAL — Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and dec…
https://en.wikipedia.org/wiki/Artificial_intelligence
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wikipedia NEUTRAL — In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, confabulation, or delusion) is a response generated by AI that contains false or mi…
https://en.wikipedia.org/wiki/Hallucination_(artificial_inte…
+ 4 more evidence sources
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Claim 3: “In our recent study published in Earth's Future, we investigated whether AI-based models can accurately predict extreme sea level events, when trained to emulate the outputs of physics-based simulations and projections.”
CORROBORATED
The existence of the study in 'Earth's Future' regarding AI-based models for extreme sea level events is confirmed by both The Conversation and a separate web search result.
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web search NEUTRAL — In our recent study published in Earth's Future, we investigated whether AI-based models can accurately predict extreme sea level events, when trained to emulate the outputs of physics-based simulatio…
https://phys.org/news/2026-06-ai-coastal-cities-seas-extreme…
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web search NEUTRAL — Earth 2050 it's an interactive project that provides a fascinating glimpse at a future based on predictions from futurologists, scientists, and Internet users from all corners of the globe.
https://2050.earth/
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web search NEUTRAL — By Abigail Eisenstadt AI weather models were unable to compete with a state-of-the-art physics-based forecasting system when predicting extreme weather events in 2018 and 2020, new research shows.
https://www.linkedin.com/pulse/when-predicting-extreme-weath…
+ 1 more evidence source
info
Claim 4: “Emiliano Longo et al, A Deep Learning Framework for Extreme Storm Surge Modeling Under Future Climate Scenarios, Earth's Future (2026). DOI: 10.1029/2025ef007072”
SINGLE SOURCE
The specific bibliographic details (authors, title, DOI, and 2026 date) are provided in the claim, but the provided evidence results for this specific claim are irrelevant (discussing general 'paper' or 'neural networks') and do not confirm or deny the specific publication details. No independent corroboration of this specific paper was found in the provided evidence.
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wikipedia NEUTRAL — Nervana Systems was an artificial intelligence software company based in San Diego, California, and Palo Alto, California. The company provided a full-stack software-as-a-service platform called Nerva…
https://en.wikipedia.org/wiki/Nervana_Systems
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wikipedia NEUTRAL — Extreme learning machines are feedforward neural networks for classification, regression, clustering, sparse approximation, compression and feature learning with a single layer or multiple layers of h…
https://en.wikipedia.org/wiki/Extreme_learning_machine
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wikipedia NEUTRAL — In machine learning, a neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks. A neural network consists of connected units o…
https://en.wikipedia.org/wiki/Neural_network_(machine_learni…
+ 3 more evidence sources
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Claim 5: “Hurricane Sandy in 2012, which caused many fatalities and over $60 billion in economic damage.”
CORROBORATED
Multiple sources confirm Hurricane Sandy occurred in 2012 and caused over $60 billion in damage. Wikipedia specifies nearly $70 billion, and other web results explicitly mention the 'over $60 billion' figure.
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wikipedia NEUTRAL — Hurricane Sandy (unofficially referred to as Superstorm Sandy) was an extremely large and devastating tropical cyclone which ravaged the Caribbean and the coastal Mid-Atlantic region of the United Sta…
https://en.wikipedia.org/wiki/Hurricane_Sandy
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wikipedia NEUTRAL — Hurricane Sandy was the eighth-costliest Atlantic hurricane on record. It lasted for over a week in late October-early November 2012. Classified as the eighteenth named storm, tenth hurricane, and sec…
https://en.wikipedia.org/wiki/Meteorological_history_of_Hurr…
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wikipedia NEUTRAL — Hurricane Sandy was the costliest natural disaster in the history of New Jersey, with economic losses to businesses of up to $30 billion. The most intense storm of the 2012 Atlantic hurricane season, …
https://en.wikipedia.org/wiki/Effects_of_Hurricane_Sandy_in_…
+ 4 more evidence sources
info Disclaimer: This analysis is generated by AI and should be used as a starting point for critical thinking, not as definitive truth. Claims are verified against publicly available sources. Always consult the original article and additional sources for complete context.