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Heatwaves are intensifying worldwide and are among the deadliest weather disasters. The burden falls disproportionately on marginalized populations and the Global South, where under-resourced health systems, exposure to urban heat islands,…

Machine Learning · Computer Science 2025-12-02 Joud El-Shawa , Elham Bagheri , Sedef Akinli Kocak , Yalda Mohsenzadeh

Urban weather station networks (WSNs) are widely used to monitor urban weather and climate patterns and aid urban planning. However, maintaining WSNs is expensive and labor-intensive. Here, we present a step-wise station removal procedure…

Machine Learning · Computer Science 2025-11-18 Marvin Plein , Carsten F. Dormann , Andreas Christen

The current climate change is calling for drastic reduction of energy demand as well as of greenhouse gases. Besides this, cities also need to adapt to face the challenges related to climate change. Cities, with their complex urban texture…

The ability to forecast the concentration of air pollutants in an urban region is crucial for decision-makers wishing to reduce the impact of pollution on public health through active measures (e.g. temporary traffic closures). In this…

Atmospheric and Oceanic Physics · Physics 2021-07-08 Dario Marvin , Lorenzo Nespoli , Davide Strepparava , Vasco Medici

This research proposes a framework for signal processing and information fusion of spatial-temporal multi-sensor data pertaining to understanding patterns of humans physiological changes in an urban environment. The framework includes…

The impact of heatwaves (HWs) on urban heat island (UHI) is a contentious topic with contradictory research findings. A comprehensive understanding of the response of urban and rural areas to HWs, considering the underlying cause of surface…

Atmospheric and Oceanic Physics · Physics 2023-05-04 Jing Kong , Yongling Zhao , Dominik Strebel , Kai Gao , Jan Carmeliet , Chengwang Lei

Using optimal detection techniques with climate model simulations, most of the observed increase of near surface temperatures over the second half of the twentieth century is attributed to anthropogenic influences. However, the partitioning…

Atmospheric and Oceanic Physics · Physics 2016-08-03 Gareth S. Jones , Peter A. Stott , John F. B. Mitchell

The impacts of climate change are intensifying existing vulnerabilities and disparities within urban communities around the globe, as extreme weather events, including floods and heatwaves, are becoming more frequent and severe,…

Computers and Society · Computer Science 2024-10-08 Carolina Veiga , Ashish Sharma , Daniel de Oliveira , Marcos Lage , Fabio Miranda

Climate change is one of the most concerning issues of this century. Emission from electric power generation is a crucial factor that drives the concern to the next level. Renewable energy sources are widespread and available globally,…

Machine Learning · Computer Science 2020-05-27 Md Amimul Ehsan , Amir Shahirinia , Nian Zhang , Timothy Oladunni

Climate change increases the frequency of extreme rainfall, placing a significant strain on urban infrastructures, especially Combined Sewer Systems (CSS). Overflows from overburdened CSS release untreated wastewater into surface waters,…

Machine Learning · Computer Science 2025-08-13 Vipin Singh , Tianheng Ling , Teodor Chiaburu , Felix Biessmann

Despite the coupled nature of water and electricity demand, the two utilities are often managed by different entities with minimal interaction. Neglecting the water-energy demand nexus leads to to suboptimal management decisions,…

Applications · Statistics 2023-11-02 Renee Obringer , Roshanak Nateghi , Jessica Knee , Kaveh Madani , Rohini Kumar

Because of the impact of extreme heat waves and heat domes on society and biodiversity, their study is a key challenge. We specifically study long-lasting extreme heat waves, which are among the most important for climate impacts. Physics…

Machine Learning · Computer Science 2022-01-14 Valérian Jacques-Dumas , Francesco Ragone , Pierre Borgnat , Patrice Abry , Freddy Bouchet

Global warming accelerates permafrost degradation, impacting the reliability of critical infrastructure used by more than five million people daily. Furthermore, permafrost thaw produces substantial methane emissions, further accelerating…

As global climate change intensifies, accurate weather forecasting has become increasingly important, affecting agriculture, energy management, environmental protection, and daily life. This study introduces a hybrid model combining…

Machine Learning · Computer Science 2024-10-22 Yuhao Gong , Yuchen Zhang , Fei Wang , Chi-Han Lee

Urban canopy cover is important to mitigate the impact of climate change. Yet, existing quantification of urban greenery is either manual and not scalable, or use traditional computer vision methods that are inaccurate. We train deep…

Computer Vision and Pattern Recognition · Computer Science 2019-12-05 Bill Cai , Xiaojiang Li , Carlo Ratti

Mitigating the substantial undesirable impact of transportation systems on the environment is paramount. Thus, predicting Greenhouse Gas (GHG) emissions is one of the profound topics, especially with the emergence of intelligent…

Signal Processing · Electrical Eng. & Systems 2020-12-07 Lama Alfaseeh , Ran Tu , Bilal Farooq , Marianne Hatzopoulou

Urbanization of an area is known to increase the temperature of the surrounding area. This phenomenon -- a so-called urban heat island (UHI) -- occurs at a local level over a period of time and has lasting impacts for historical data…

Methodology · Statistics 2021-07-30 Candace Berrett , Brianne Gurney , David Arthur , Todd Moon , Gus P. Williams

Climate crisis and correlating prolonged, more intense periods of drought threaten tree health in cities and forests. In consequence, arborists and foresters suffer from increasing workloads and, in the best case, a consistent but often…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Jonas-Dario Troles , Richard Nieding , Sonia Simons , Ute Schmid

The environmental impacts of global warming driven by methane (CH4) emissions have catalyzed significant research initiatives in developing novel technologies that enable proactive and rapid detection of CH4. Several data-driven machine…

Climate change results in altered air and water temperatures. Increases affect physicochemical properties, such as oxygen concentration, and can shift species distribution and survival, with consequences for ecosystem functioning and…

Machine Learning · Computer Science 2021-10-11 Stefanie Mohr , Konstantina Drainas , Juergen Geist