Heat waves: Physical understanding and scientific challenges
D Barriopedro, R García‐Herrera… - Reviews of …, 2023 - Wiley Online Library
Heat waves (HWs) can cause large socioeconomic and environmental impacts. The
observed increases in their frequency, intensity and duration are projected to continue with …
observed increases in their frequency, intensity and duration are projected to continue with …
Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives
Extreme events such as heat waves and cold spells, droughts, heavy rain, and storms are
particularly challenging to predict accurately due to their rarity and chaotic nature, and …
particularly challenging to predict accurately due to their rarity and chaotic nature, and …
Regional heatwave prediction using graph neural network and weather station data
Heatwaves lead to catastrophic consequences on public health and the economy. Accurate
and timely predictions of regional heatwaves can improve climate preparedness and foster …
and timely predictions of regional heatwaves can improve climate preparedness and foster …
[HTML][HTML] Global extreme heat forecasting using neural weather models
I Lopez-Gomez, A McGovern… - … Intelligence for the …, 2023 - journals.ametsoc.org
Global Extreme Heat Forecasting Using Neural Weather Models in: Artificial Intelligence for the
Earth Systems Volume 2 Issue 1 (2023) Jump to Content Logo Logo Logo Logo Logo Logo …
Earth Systems Volume 2 Issue 1 (2023) Jump to Content Logo Logo Logo Logo Logo Logo …
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
Understanding extreme events and their probability is key for the study of climate change
impacts, risk assessment, adaptation, and the protection of living beings. Extreme …
impacts, risk assessment, adaptation, and the protection of living beings. Extreme …
Foundation models for weather and climate data understanding: A comprehensive survey
As artificial intelligence (AI) continues to rapidly evolve, the realm of Earth and atmospheric
sciences is increasingly adopting data-driven models, powered by progressive …
sciences is increasingly adopting data-driven models, powered by progressive …
Machine learning–based extreme event attribution
The observed increase in extreme weather has prompted recent methodological advances
in extreme event attribution. We propose a machine learning–based approach that uses …
in extreme event attribution. We propose a machine learning–based approach that uses …
Predicting maximum temperatures over India 10-days ahead using machine learning models
In the months of March-June, India experiences high daytime temperatures (Tmax), which
sometimes lead to heatwave-like conditions over India. In this study, 10 different machine …
sometimes lead to heatwave-like conditions over India. In this study, 10 different machine …
Machine learning analysis and risk prediction of weather-sensitive mortality related to cardiovascular disease during summer in Tokyo, Japan
Climate-sensitive diseases developing from heat or cold stress threaten human health.
Therefore, the future health risk induced by climate change and the aging of society need to …
Therefore, the future health risk induced by climate change and the aging of society need to …
Subseasonal prediction of central european summer heatwaves with linear and random forest machine learning models
E Weirich-Benet, M Pyrina… - … Intelligence for the …, 2023 - journals.ametsoc.org
Heatwaves are extreme near-surface temperature events that can have substantial impacts
on ecosystems and society. Early warning systems help to reduce these impacts by helping …
on ecosystems and society. Early warning systems help to reduce these impacts by helping …