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Abstract: The rising global temperatures caused by climate change significantly impact energy consumption and electricity generation. Fluctuating temperatures and frequent extreme weather events disrupt energy production and consumption…

Physics and Society · Physics 2024-12-18 MohammadReza Askari , Navid Parsa

The rich history of observing system simulation experiments (OSSEs) does not yet include a well-established framework for using climate models. The need for a climate OSSE is triggered by the need to quantify the value of a particular…

In order to explore the effects of climate change on atmospheric convection and the water cycle, we develop and analyse an extension of the Rainy-B\'enard model, which is itself a moist version of the Rayleigh-B\'enard model of dry…

Fluid Dynamics · Physics 2025-04-09 Gregory N. Dritschel , Steven M. Tobias , Douglas J. Parker , Lorenzo Tomassini

Large ensembles of climate projections are essential for characterizing uncertainty in future climate and extreme weather events, yet computational constraints of numerical climate models limit ensemble sizes to a small number of…

Atmospheric and Oceanic Physics · Physics 2025-12-01 Francesco Immorlano , Elijah Tavares , Felix Draxler , Padhraic Smyth , Pierre Gentine , Stephan Mandt

In this paper, we aim to analyse the impact of hydrogen production decarbonisation and electrification scenarios on the infrastructure development, generation mix, $CO_{2}$ emissions, and system costs of the European power system,…

Optimization and Control · Mathematics 2023-12-12 Germán Morales-España , Ricardo Hernández-Serna , Diego A. Tejada-Arango , Marcel Weeda

Extreme weather is one of the main mechanisms through which climate change will directly impact human society. Coping with such change as a global community requires markedly improved understanding of how global warming drives extreme…

Computational Physics · Physics 2019-09-18 Adam Rupe , Karthik Kashinath , Nalini Kumar , Victor Lee , Prabhat , James P. Crutchfield

Modern weather and climate models share a common heritage, and often even components, however they are used in different ways to answer fundamentally different questions. As such, attempts to emulate them using machine learning should…

Atmospheric and Oceanic Physics · Physics 2022-03-21 Duncan Watson-Parris

With a changing climate, the frequency and intensity of extreme weather events are likely to increase, posing a threat to infrastructure systems' resilience. The response of infrastructure systems to localised failures depends on whether…

Systems and Control · Electrical Eng. & Systems 2022-11-21 Qianqian Li , Giuliano Punzo , Craig Robson , Hadi Arbabi , Martin Mayfield

The decarbonization of buildings requires the phase-out of fossil fuel heating systems. Heat pumps are considered a crucial technology to supply a substantial part of heating energy for buildings. Yet, their introduction is not without…

General Economics · Economics 2023-12-12 Alexander Roth

Climate neutrality paradigms put electricity systems at the core of a clean energy supply. At the same time, indirect electrification, with a potential uptake of hydrogen or derived fuel economy, plays a crucial role in decarbonising the…

General Economics · Economics 2025-05-27 Felix Frischmuth , Mattis Berghoff , Martin Braun , Philipp Haertel

In climate science, the tuning of climate models is a computationally intensive problem due to the combination of the high-dimensionality of the system state and long integration times. Supermodelling is a technique which has shown the…

Chaotic Dynamics · Physics 2026-04-15 Jordan Seneca , Suzanne Bintanja , Frank M. Selten

Uncertainties surrounding the energy transition often lead modelers to present large sets of scenarios that are challenging for policymakers to interpret and act upon. An alternative approach is to define a few qualitative storylines from…

Machine Learning · Computer Science 2023-11-14 Florian Joseph Baader , Stefano Moret , Wolfram Wiesemann , Iain Staffell , André Bardow

Heatwaves are known to arise from the interplay between large-scale climate variability, synoptic weather patterns and regional to local scale surface processes. While recent research has made important progress for each individual…

Atmospheric and Oceanic Physics · Physics 2023-05-25 Sebastian Buschow , Jan Keller , Sabrina Wahl

Climate change is a non-uniform phenomenon. This paper proposes a new quantitative methodology to characterize, measure, and test the existence of climate change heterogeneity. It consists of three steps. First, we introduce a new testable…

Econometrics · Economics 2023-01-09 Maria Dolores Gadea , Jesus Gonzalo

Accurate Subseasonal-to-Seasonal (S2S) forecasting is vital for decision-making in agriculture, energy production, and emergency management. However, it remains a challenging and underexplored problem due to the chaotic nature of the…

Energy forecasting is vital for grid reliability and operational efficiency. Although recent advances in time series forecasting have led to progress, existing benchmarks remain limited in spatial and temporal scope and lack multi-energy…

Machine Learning · Computer Science 2025-09-09 Chen Shao , Yue Wang , Zhenyi Zhu , Zhanbo Huang , Sebastian Pütz , Benjamin Schäfer , Tobais Käfer , Michael Färber

The climate system's nonlinear dynamics is influenced by various external forcings and internal feedbacks that can give rise to regional and even global tipping points that may lead to significant and potentially irreversible changes.…

Atmospheric and Oceanic Physics · Physics 2026-01-21 Erik Chavez , Jan Rombouts , Michael Ghil

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

Driven by global climate change and the ongoing energy transition, the coupling between power supply capabilities and meteorological factors has become increasingly significant. Over the long term, accurately quantifying the power…

Machine Learning · Computer Science 2026-04-30 Xiaochong Dong , Jun Dan , Yingyun Sun , Yang Liu , Xuemin Zhang , Shengwei Mei

Projecting climate change is a generalization problem: we extrapolate the recent past using physical models across past, present, and future climates. Current climate models require representations of processes that occur at scales smaller…

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