Shifting dominant periods in extreme climate impacts under global warming
Abstract
Abstract Spatio-temporal patterns of extreme climate events have been extensively studied, yet two questions remain underexplored: Do such events occur regularly, and how do regularity patterns change under global warming? We address these questions by investigating dominant periods in crop failure, heatwave, and wildfire data. Here, we show that under pre-industrial conditions dominant periods emerge in 28% of cropland exposed to crop failure and 10% of wildfire-affected areas, likely related to climatic oscillations such as the El Niño-Southern Oscillation, while heatwaves occur irregularly. The number of dominant periods increases by 2–13% during the transition from the pre-industrial era to the anthropocene. In the anthropocene, the occurrence of extreme events shifts towards monotonic growth, replacing previous natural regularity patterns. Linearly de-trended projections reveal an additional shift towards smaller dominant periods due to climate change. These shifts in regularity are crucial for adaptation planning, and our method offers an additional approach for studying extreme events.
Article Details
Authors (28)
Karim Zantout
Juraj Balkovic
Maik Billing
Christian Folberth
Simon N. Gosling
Tobias Hank
Stijn Hantson
Toshichika Iizumi
Akihiko Ito
Jonas Jägermeyr
Atul K. Jain
Nikolay Khabarov
Sian Kou-Giesbrecht
Fang Li
Mengxue Li
Tzu-Shun Lin
Wenfeng Liu
Christoph Müller
Masashi Okada
Sebastian Ostberg
Kedar Otta
Sam Rabin
Christopher P. O. Reyer
Clemens Scheer
Julia M. Schneider
Florian Zabel
Katja Frieler
Jacob Schewe