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Related papers: Counter-Geoengineering: Feasibility and Policy Imp…

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We propose a non-steady state model of the global temperature change. The model describes Earth's surface temperature dynamics under main climate forcing. The equations were derived from basic physical relationships and detailed assessment…

Mitigation of climate change will highly rely on a carbon emission trajectory that achieves carbon neutrality by the 2050s. The ocean plays a critical role in modulating climate change by sequestering CO2 from the atmosphere. Relying on the…

Freshwater forcing from a retreating Antarctic Ice Sheet could have a wide range of impacts on future global climate. Here, we report on multi-century (present-2250) climate simulations performed using a fully coupled numerical model…

Atmospheric and Oceanic Physics · Physics 2020-05-21 Shaina Rogstad , Alan Condron , Robert DeConto , David Pollard

When large surface areas of the Earth are altered, radiative forcing due to changes in surface reflectance can drive climate change. Yet to achieve the necessary scale to remove the substantial amounts of carbon dioxide from the atmosphere…

Atmospheric and Oceanic Physics · Physics 2025-01-16 J. B. Marston , Daniel E. Ibarra

Weather extremes are a major societal and economic hazard, claiming thousands of lives and causing billions of dollars in damage every year. Under climate change, their impact and intensity are expected to worsen significantly.…

Machine Learning · Computer Science 2022-10-24 Antoine Blanchard , Nishant Parashar , Boyko Dodov , Christian Lessig , Themistoklis Sapsis

Deploying hydrogen technologies is one option to reduce energy carbon dioxide emissions, but recent studies have called attention to the indirect climate implications of fugitive hydrogen emissions. We find that biases in hydroxyl (OH)…

Climate change is one of the most pressing challenges of our time, requiring rapid action across society. As artificial intelligence tools (AI) are rapidly deployed, it is therefore crucial to understand how they will impact climate action.…

Comprehensive global cooperation is essential to limit global temperature increases while continuing economic development, e.g., reducing severe inequality or achieving long-term economic growth. Achieving long-term cooperation on climate…

Machine Learning · Computer Science 2022-08-16 Tianyu Zhang , Andrew Williams , Soham Phade , Sunil Srinivasa , Yang Zhang , Prateek Gupta , Yoshua Bengio , Stephan Zheng

Global warming, the phenomenon of increasing global average temperature in the recent decades, is receiving wide attention due to its very significant adverse effects on climate. Whether global warming will continue even in the future, is a…

Applications · Statistics 2026-02-24 Debashis Chatterjee , Sourabh Bhattacharya

Soil has been recognized as an indirect driver of global warming by regulating atmospheric greenhouse gases. However, in view of the higher heat capacity and CO2 concentration in soil than those in atmosphere, the direct contributions of…

Geophysics · Physics 2019-07-16 Weixin Zhang , Chengde Yu , Zhifeng Shen , Shu Liu , Suli Li , Yuanhu Shao , Shenglei Fu

Quantifying the impacts of anthropogenic global warming requires accurate Earth system model (ESM) simulations. Statistical bias correction and downscaling can be applied to reduce errors and increase the resolution of ESMs. However,…

Geophysics · Physics 2024-06-24 Philipp Hess , Niklas Boers

As urbanization and climate change progress, urban heat island effects are becoming more frequent and severe. To formulate effective mitigation plans, cities require detailed air temperature data, yet conventional machine learning models…

Computer Vision and Pattern Recognition · Computer Science 2025-10-22 Jannis Fleckenstein , David Kreismann , Tamara Rosemary Govindasamy , Thomas Brunschwiler , Etienne Vos , Mattia Rigotti

Carbon capture and storage (CCS) can aid decarbonization of the atmosphere to limit further global temperature increases. A framework utilizing unsupervised learning is used to generate a range of subsurface geologic volumes to investigate…

Machine Learning · Statistics 2020-01-15 Gavin H. Graham , Yan Chen

Commercial aviation is one of the biggest contributors towards climate change. We propose to reduce environmental impact of aviation by considering solutions that would reduce the flight time. Specifically, we first consider improving winds…

Artificial Intelligence · Computer Science 2020-12-18 Ashish Kapoor

To keep current global warming below 1.5{\deg}C compared with the pre-industrial era, measures must be taken as quickly as possible in all spheres of society. Astronomy must also make its contribution. In this proceeding, and during the…

With the rise of electronic data, particularly Earth observation data, data-based geospatial modelling using machine learning (ML) has gained popularity in environmental research. Accurate geospatial predictions are vital for domain…

Machine Learning · Computer Science 2023-11-21 Diana Koldasbayeva , Polina Tregubova , Mikhail Gasanov , Alexey Zaytsev , Anna Petrovskaia , Evgeny Burnaev

Climate change has been a popular topic for a number of years now. Computer Science has contributed to aiding humanity in reducing energy requirements and consequently global warming. Much of this work is through calculators which determine…

Computers and Society · Computer Science 2010-06-09 Matt Donato , Seng W. Loke

Over its multibillion-year history, the Earth has experienced a wide range of climates. The long-term climate is controlled by the atmospheric carbon dioxide concentration, which is regulated by marine sequestration through chemical…

Atmospheric and Oceanic Physics · Physics 2022-05-31 Mark Baum , Minmin Fu , Stephen Bourguet

Several complicated non-linear models exist which simulate the physical processes leading to fluctuations in global climate. Some of these more advanced models use observations to constrain various parameters involved. However, they tend to…

Atmospheric and Oceanic Physics · Physics 2017-09-27 Rajashik Tarafder , Dibyendu Nandy

We review how machine learning has transformed our ability to model the Earth system, and how we expect recent breakthroughs to benefit end-users in Switzerland in the near future. Drawing from our review, we identify three recommendations.…

Atmospheric and Oceanic Physics · Physics 2024-01-29 Tom Beucler , Erwan Koch , Sven Kotlarski , David Leutwyler , Adrien Michel , Jonathan Koh
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