Prediction and projection of heatwaves
Heatwaves constitute a major threat to human health and ecosystems. Projected increases
in heatwave frequency and severity thus lead to the need for prediction to enhance …
in heatwave frequency and severity thus lead to the need for prediction to enhance …
[HTML][HTML] State of wildfires 2023–2024
Climate change contributes to the increased frequency and intensity of wildfires globally,
with significant impacts on society and the environment. However, our understanding of the …
with significant impacts on society and the environment. However, our understanding of the …
Seasonal Arctic sea ice forecasting with probabilistic deep learning
Anthropogenic warming has led to an unprecedented year-round reduction in Arctic sea ice
extent. This has far-reaching consequences for indigenous and local communities, polar …
extent. This has far-reaching consequences for indigenous and local communities, polar …
[HTML][HTML] Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management
Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or
storms have devastating effects each year. One of the key challenges for society is …
storms have devastating effects each year. One of the key challenges for society is …
Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI
In September 2019, a workshop was held to highlight the growing area of applying machine
learning techniques to improve weather and climate prediction. In this introductory piece, we …
learning techniques to improve weather and climate prediction. In this introductory piece, we …
Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN …
Optimal utilisation of the sun's freely available energy to generate electricity requires efficient
predictive models of global solar radiation (GSR). These are necessary to provide solar …
predictive models of global solar radiation (GSR). These are necessary to provide solar …
Evaluation of snow depth and snow cover over the Tibetan Plateau in global reanalyses using in situ and satellite remote sensing observations
The Tibetan Plateau (TP) region, often referred to as the Third Pole, is the world's highest
plateau and exerts a considerable influence on regional and global climate. The state of the …
plateau and exerts a considerable influence on regional and global climate. The state of the …
Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods of 2022
Skilful predictions of near-term climate extremes are key to a resilient society. However,
standard methods of analysing seasonal forecasts are not optimised to identify the rarer and …
standard methods of analysing seasonal forecasts are not optimised to identify the rarer and …
[HTML][HTML] The 2019 Southern Hemisphere stratospheric polar vortex weakening and its impacts
This study offers an overview of the low-frequency (ie, monthly to seasonal) evolution,
dynamics, predictability, and surface impacts of a rare Southern Hemisphere (SH) …
dynamics, predictability, and surface impacts of a rare Southern Hemisphere (SH) …
[HTML][HTML] MSWX: Global 3-Hourly 0.1 ° Bias-Corrected Meteorological Data Including Near-Real-Time Updates and Forecast Ensembles
Abstract We present Multi-Source Weather (MSWX), a seamless global gridded near-surface
meteorological product featuring a high 3-hourly 0.1° resolution, near-real-time updates (∼ …
meteorological product featuring a high 3-hourly 0.1° resolution, near-real-time updates (∼ …