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Antarctic sea ice has undergone unprecedented changes in recent years, raising questions about how this key geophysical system is responding to climate change. Decades of slow expansion were replaced by a precipitous decline in 2014-2017, a…

Atmospheric and Oceanic Physics · Physics 2026-05-28 Peter Yatsyshin , Karl Lapo , Oliver Strickson , Louisa van Zeeland , J. Scott Hosking , J. Nathan Kutz

Flooding is one of the most destructive and costly natural disasters, and climate changes would further increase risks globally. This work presents a novel multimodal machine learning approach for multi-year global flood risk prediction,…

Machine Learning · Computer Science 2023-01-31 Cynthia Zeng , Dimitris Bertsimas

New York City (NYC) topped the global chart for the worst air pollution in June 2023, owing to the wildfire smoke drifting in from Canada. This unprecedented situation caused significant travel disruptions and shifts in traditional activity…

Computers and Society · Computer Science 2024-02-06 Khondhaker Al Momin , Md Sami Hasnine , Arif Mohaimin Sadri

Having reliable estimates of the occurrence rates of extreme events is highly important for insurance companies, government agencies and the general public. The rarity of an extreme event is typically expressed through its return period,…

Methodology · Statistics 2019-10-08 Ross Towe , Jonathan Tawn , Emma Eastoe , Rob Lamb

This paper delves into the impact of natural disasters on affected populations and underscores the imperative of reducing disaster-related fatalities through proactive strategies. On average, approximately 45,000 individuals succumb…

Applications · Statistics 2023-09-19 Giacomo Ascione , Michele Bufalo , Giuseppe Orlando

Human civilization has an increasingly powerful influence on the earth system. Affected by climate change and land-use change, natural disasters such as flooding have been increasing in recent years. Earth observations are an invaluable…

Computer Vision and Pattern Recognition · Computer Science 2022-12-08 Ritu Yadav , Andrea Nascetti , Hossein Azizpour , Yifang Ban

Every year, natural disasters such as earthquake, flood, hurricane and etc. impose immense financial and humane losses on governments owing to their unpredictable character and arise of emergency situations and consequently the reduction of…

Storm surge is one of the deadliest hazards posed by tropical cyclones (TCs), yet assessing its current and future risk is difficult due to the phenomenon's rarity and physical complexity. Recent advances in artificial intelligence…

Atmospheric and Oceanic Physics · Physics 2025-09-03 Julian R. Rice , Karthik Balaguru , Fadia Ticona Rollano , John Wilson , Brent Daniel , David Judi , Ning Sun , L. Ruby Leung

We introduce the following discrete time model. Each natural number represents an ecological niche and is assigned a fitness in $(0,1)$. All the sites are updated simultaneously at every discrete time. At any given time the environment may…

Probability · Mathematics 2022-11-03 Rinaldo B. Schinazi

Here we define natural chaotic systems, like the earths weather and climate system, as chaotic systems which are open to the world so have constantly changing boundary conditions, and measurements of their states are subject to errors. In…

Chaotic Dynamics · Physics 2024-09-24 Michael LuValle

Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities. A first and essential procedure towards flood monitoring is based on identifying the area most vulnerable to flooding,…

Earthquakes and tropical cyclones cause the suffering of millions of people around the world every year. The resulting landslides exacerbate the effects of these disasters. Landslide detection is, therefore, a critical task for the…

Computer Vision and Pattern Recognition · Computer Science 2019-10-17 Masanari Kimura

The continuous rise in CO2 emission into the environment is one of the most crucial issues facing the whole world. Many countries are making crucial decisions to control their carbon footprints to escape some of their catastrophic outcomes.…

Machine Learning · Computer Science 2022-12-01 Aman Desai , Shyamal Gandhi , Sachin Gupta , Manan Shah , Samir Patel

Water markets represent a policy tool that aims at finding efficient water allocations among competing users by promoting reallocations from low-value to high-value uses. In Canada, water markets have been discussed and implemented at the…

General Economics · Economics 2023-10-02 Jorge Garcia-Hernandez , Roy Brouwer

Ice storms are extreme weather events that can have devastating implications for the sustainability of natural ecosystems as well as man made infrastructure. Ice storms are caused by a complex mix of atmospheric conditions and are among the…

Atmospheric and Oceanic Physics · Physics 2018-05-15 Ranjini Swaminathan , Mohan Sridharan , Katharine Hayhoe

The fate of cities under natural hazards depends not only on hazard intensity but also on the coupling of structural damage, a collective process that remains poorly understood. Here we show that urban structural damage exhibits…

Applications · Statistics 2026-05-22 Sebin Oh , Jinyan Zhao , Raul Rincon , Jamie E. Padgett , Ziqi Wang

Prediction of power outages caused by convective storms which are highly localised in space and time is of crucial importance to power grid operators. We propose a new machine learning approach to predict the damage caused by storms. This…

Signal Processing · Electrical Eng. & Systems 2019-07-03 Roope Tervo , Joonas Karjalainen , Alexander Jung

Due to climate change, the extreme wildfire has become one of the most dangerous natural hazards to human civilization. Even though, some wildfires may be initially caused by human activity, but the spread of wildfires is mainly determined…

Machine Learning · Computer Science 2025-03-13 Qijun Chen , Shaofan Li

Assessing the impact of a disaster in terms of asset losses and human casualties is essential for preparing effective response plans. Traditional methods include offline assessments conducted on the ground, where volunteers and first…

Machine Learning · Computer Science 2025-09-16 Saketh Vishnubhatla , Ujun Jeong , Bohan Jiang , Paras Sheth , Zhen Tan , Adrienne Raglin , Huan Liu

Identifying tropical cyclones that generate destructive storm tides for risk assessment, such as from large downscaled storm catalogs for climate studies, is often intractable because it entails many expensive Monte Carlo hydrodynamic…

Atmospheric and Oceanic Physics · Physics 2025-01-07 Grace Jiang , Jiangchao Qiu , Sai Ravela
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