TY  - JOUR
A1  - Kotz, Maximilian
A1  - Wenz, Leonie
A1  - Stechemesser, Annika
A1  - Kalkuhl, Matthias
A1  - Levermann, Anders
T1  - Day-to-day temperature variability reduces economic growth
JF  - Nature climate change
N2  - Elevated annual average temperature has been found to impact macro-economic growth. However, various fundamental elements of the economy are affected by deviations of daily temperature from seasonal expectations which are not well reflected in annual averages. Here we show that increases in seasonally adjusted day-to-day temperature variability reduce macro-economic growth independent of and in addition to changes in annual average temperature. Combining observed day-to-day temperature variability with subnational economic data for 1,537 regions worldwide over 40 years in fixed-effects panel models, we find that an extra degree of variability results in a five percentage-point reduction in regional growth rates on average. The impact of day-to-day variability is modulated by seasonal temperature difference and income, resulting in highest vulnerability in low-latitude, low-income regions (12 percentage-point reduction). These findings illuminate a new, global-impact channel in the climate–economy relationship that demands a more comprehensive assessment in both climate and integrated assessment models.
KW  - Climate change
KW  - Climate-change impacts
KW  - Economics
KW  - Environmental economics
KW  - Environmental impact
Y1  - 2021
U6  - https://doi.org/10.1038/s41558-020-00985-5
SN  - 1758-678X
SN  - 1758-6798
VL  - 11
IS  - 4
SP  - 319
EP  - 325
PB  - Nature Publishing Group
CY  - London
ER  - 
TY  - GEN
A1  - Otto, Christian
A1  - Piontek, Franziska
A1  - Kalkuhl, Matthias
A1  - Frieler, Katja
T1  - Event-based models to understand the scale of the impact of extremes
T2  - Nature energy
N2  - Climate change entails an intensification of extreme weather events that can potentially trigger socioeconomic and energy system disruptions. As we approach 1 degrees C of global warming we should start learning from historical extremes and explicitly incorporate such events in integrated climate-economy and energy systems models.
KW  - Climate-change impacts
KW  - Energy economics
KW  - Socioeconomic scenarios
Y1  - 2020
U6  - https://doi.org/10.1038/s41560-020-0562-4
SN  - 2058-7546
VL  - 5
IS  - 2
SP  - 111
EP  - 114
PB  - Nature Publishing Group
CY  - London
ER  -