Abstract Between June 2019 and March 2020, thousands of wildfires spread devastation
across Australia at the tragic cost of many lives, vast areas of burnt forest, and estimated …

When multiple extremes occur in rapid sequence, their impacts cascade to cause
disproportionate damages. However, the prevalence of univariate definitions and inability to …

Sample sizes of observed climate extremes are typically too small to reliably constrain return
period estimates when there is non-stationary behaviour. To increase the historical record …

Large-ensemble climate model simulations can provide deeper understanding of the
characteristics and causes of extreme events than historical observations, due to their larger …

Low‐likelihood weather events can cause dramatic impacts, especially when they are
unprecedented. In 2020, amongst other high‐impact weather events, UK floods caused …

The UNSEEN (unprecedented simulated extremes using ensemble) method involves using
a large ensemble of climate model simulations to increase the sample size of rare events …

Abstract Changes in climate pose major challenges to society, and so decision-makers need
actionable climate information to inform their planning and policies to make society more …

A lot of spring maize is grown in Northeast China (Liaoning, Jilin, and Heilongjiang), an area
that is highly susceptible to drought. Here, remote sensing indexes from 2002 to 2020 were …

Extreme precipitation and winds can have a severe impact on society, particularly when they
occur at the same place and time. In this study the Met Office's Global Seasonal forecast …

The UK has experienced recurring hydrological droughts in the past and their frequency and
severity are predicted to increase with climate change. However, quantifying the risks of …