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 …

Climate change impact on future wildfire danger and activity in southern Europe: a review

J Dupuy, H Fargeon, N Martin-StPaul, F Pimont… - Annals of Forest …, 2020 - Springer
Key message Wildfire danger and burnt areas should increase over the century in southern
Europe, owing to climate warming. Fire-prone area expansion to the north and to …

High-resolution and bias-corrected CMIP5 projections for climate change impact assessments

C Navarro-Racines, J Tarapues, P Thornton, A Jarvis… - Scientific data, 2020 - nature.com
Projections of climate change are available at coarse scales (70–400 km). But agricultural
and species models typically require finer scale climate data to model climate change …

Global changes in drought conditions under different levels of warming

G Naumann, L Alfieri, K Wyser… - Geophysical …, 2018 - Wiley Online Library
Higher evaporative demands and more frequent and persistent dry spells associated with
rising temperatures suggest that drought conditions could worsen in many regions of the …

North China Plain threatened by deadly heatwaves due to climate change and irrigation

S Kang, EAB Eltahir - Nature communications, 2018 - nature.com
Abstract North China Plain is the heartland of modern China. This fertile plain has
experienced vast expansion of irrigated agriculture which cools surface temperature and …

Global projections of river flood risk in a warmer world

L Alfieri, B Bisselink, F Dottori, G Naumann… - Earth's …, 2017 - Wiley Online Library
Rising global temperature has put increasing pressure on understanding the linkage
between atmospheric warming and the occurrence of natural hazards. While the Paris …

Bias correcting climate change simulations-a critical review

D Maraun - Current Climate Change Reports, 2016 - Springer
Climate models are our major source of knowledge about climate change. The impacts of
climate change are often quantified by impact models. Whereas impact models typically …

Bias correction of GCM precipitation by quantile mapping: how well do methods preserve changes in quantiles and extremes?

AJ Cannon, SR Sobie, TQ Murdock - Journal of Climate, 2015 - journals.ametsoc.org
Quantile mapping bias correction algorithms are commonly used to correct systematic
distributional biases in precipitation outputs from climate models. Although they are effective …

[图书][B] Statistical downscaling and bias correction for climate research

D Maraun, M Widmann - 2018 - books.google.com
Statistical downscaling and bias correction are becoming standard tools in climate impact
studies. This book provides a comprehensive reference to widely-used approaches, and …

[HTML][HTML] Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables

AJ Cannon - Climate dynamics, 2018 - Springer
Most bias correction algorithms used in climatology, for example quantile mapping, are
applied to univariate time series. They neglect the dependence between different variables …