Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives

S Materia, LP García, C van Straaten… - Wiley …, 2024 - Wiley Online Library
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 …

[HTML][HTML] Estimating concurrent climate extremes: A conditional approach

WK Huang, AH Monahan, FW Zwiers - Weather and Climate Extremes, 2021 - Elsevier
Simultaneous concurrence of extreme values across multiple climate variables can result in
large societal and environmental impacts. Therefore, there is growing interest in …

Extreme state prediction of long-span bridges using extended ACER method

L Zhang, L Zhou, J Bu, F Xu, B Wei… - Structural Health …, 2024 - journals.sagepub.com
An accurate prediction of the future service state of long-span bridges is crucial for the
structural reliability evaluation, maintenance planning, and further life-cycle cost analysis. By …

Temperature gradient estimation of long-span concrete box girders using average conditional exceedance rate function

LP Zhang, LM Zhou, JQ Bu, Q Liu, B Wei… - Structure and …, 2024 - Taylor & Francis
An accurate assessment of temperature gradients in box girders is crucial for design and
maintenance of long-span bridges. Although the current bridge specifications have provided …

Limiting Behavior of Maxima under Dependence

K Herrmann, M Hofert, JG Neslehova - arXiv preprint arXiv:2405.02833, 2024 - arxiv.org
Weak convergence of maxima of dependent sequences of identically distributed continuous
random variables is studied under normalizing sequences arising as subsequences of the …