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Related papers: A Climate Change Vulnerability Assessment Framewor…

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Climate change is intensifying wildfire risks globally, making reliable forecasting critical for adaptation strategies. While machine learning shows promise for wildfire prediction from Earth observation data, current approaches lack…

Machine Learning · Computer Science 2025-10-14 Aditya Chakravarty

Accurate uncertainty information associated with essential climate variables (ECVs) is crucial for reliable climate modeling and understanding the spatiotemporal evolution of the Earth system. In recent years, geoscience and climate…

This paper develops a geospatial framework for climate risk stress testing in California with applications to banking and climate-exposed sectors such as agriculture, real estate, and tourism. The study integrates physical hazard mapping,…

Computational Engineering, Finance, and Science · Computer Science 2026-04-21 Satya Narayana Panda , Aishworzo Saha

In many developing nations, a lack of poverty data prevents critical humanitarian organizations from responding to large-scale crises. Currently, socioeconomic surveys are the only method implemented on a large scale for organizations and…

Machine Learning · Computer Science 2023-03-01 Om Shah , Krti Tallam

Earth system analysis is the study of the joint dynamics of biogeophysical, social and technological processes on our planet. To advance our understanding of possible future development pathways and identify management options for…

Physics and Society · Physics 2017-04-24 Jonathan F. Donges , Wolfgang Lucht , Finn Müller-Hansen , Will Steffen

Resilience in social systems is crucial for mitigating the impacts of crises, such as climate change, which poses an existential threat to communities globally. As disasters become more frequent and severe, enhancing community resilience…

Extreme weather events are widely studied in fields such as agriculture, ecology, and meteorology. The spatio-temporal co-occurrence of extreme events can strengthen or weaken under changing climate conditions. In this paper, we propose a…

Machine Learning · Statistics 2025-12-09 Xiaoyu Ma , Likun Zhang , Christopher K. Wikle

Climate change is one of the defining challenges of the 21st century, and many in the robotics community are looking for ways to contribute. This paper presents a roadmap for climate-relevant robotics research, identifying high-impact…

Determining changes in global temperature and precipitation that may indicate climate change is complicated by annual variations. One approach for finding potential climate change indicators is to train a model that predicts the year from…

Atmospheric and Oceanic Physics · Physics 2022-12-09 Charles Anderson , Jason Stock

Social vulnerability is the susceptibility of a community to be adversely impacted by natural hazards and public health emergencies, such as drought, earthquakes, flooding, virus outbreaks, and the like. Climate change is at the root of…

Human-Computer Interaction · Computer Science 2023-01-10 Darius Coelho , Nikita Gupta , Eric Papenhausen , Klaus Mueller

Forecasting the state of vegetation in response to climate and weather events is a major challenge. Its implementation will prove crucial in predicting crop yield, forest damage, or more generally the impact on ecosystems services relevant…

Modeling extreme precipitation and temperature is vital for understanding the impacts of climate change, as hazards like intense rainfall and record-breaking temperatures can result in severe consequences, including floods, droughts, and…

Methodology · Statistics 2026-01-13 Remy MacDonald , Benjamin Seiyon Lee , John Foley , Justin Lee

The economic impacts of climate change are highly uncertain. Two of the most important uncertainties are the sensitivity of the climate system and the so-called damage functions, which relate climate change to economic damages and benefits.…

Atmospheric and Oceanic Physics · Physics 2022-08-24 Jenny Bjordal , Trude Storelvmo , Anthony A. Smith

The power system is among the most important critical infrastructures in urban cities and is getting increasingly essential in supporting people s daily activities. However, it is also susceptible to most natural disasters such as tsunamis,…

Systems and Control · Electrical Eng. & Systems 2022-12-14 Chen Xia , Yuqing Hu , Jianli Chen

Landslides are a growing climate induced hazard with severe environmental and human consequences, particularly in high mountain Asia. Despite increasing access to satellite and temporal datasets, timely detection and disaster response…

Machine Learning · Computer Science 2025-12-12 Mihir Panchal , Ying-Jung Chen , Surya Parkash

With billions of people facing moderate or severe food insecurity, the resilience of the global food supply will be of increasing concern due to the effects of climate change and geopolitical events. In this paper we describe a framework to…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 David Willmes , Nick Krall , James Tanis , Zachary Terner , Fernando Tavares , Chris Miller , Joe Haberlin , Matt Crichton , Alexander Schlichting

Concerns regarding the impacts of climate change on marginalised communities in the Global South have led to calls for affected communities to be more active as agents in the process of planning for climate change. While the value of…

Computers and Society · Computer Science 2021-12-20 Erich Wolff , Matthew French , Noor Ilhamsyah , Mere Jane Sawailau , Diego Ramirez-Lovering

The impacts of climate change, conflicts, the spread of infectious diseases, and global economic downturns have greatly affected food production, disrupted supply chains, and hindered access to affordable, nutritious food. It poses risks to…

General Economics · Economics 2025-05-12 Bakhtmina Zia

In an era of increased climatic disasters, there is an urgent need to develop reliable frameworks and tools for evaluating and improving community resilience to climatic hazards at multiple geographical and temporal scales. Defining and…

Machine Learning · Computer Science 2024-10-25 Debayan Mandal , Lei Zou , Rohan Singh Wilkho , Joynal Abedin , Bing Zhou , Heng Cai , Furqan Baig , Nasir Gharaibeh , Nina Lam

Climate change is the long-term shift in global weather patterns, largely caused by anthropogenic activity of greenhouse gas emissions. Global climate temperatures have unmistakably risen and naturally occurring climate variability alone…

Physics and Society · Physics 2023-01-26 Junze Zhang , Kerry Zhang , Mary Zhang , Jonathan H. Jiang , Philip E. Rosen , Kristen A. Fahy
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