TY - JOUR
T1 - High radiative forcing climate scenario relevance analyzed with a ten-million-member ensemble
AU - Sarofim, Marcus
AU - Smith, Christopher J.
AU - Malek, Parker
AU - McDuffie, Erin
AU - Hartin, Corinne
AU - Lay, Claire R.
AU - McGrath, Sarah
N1 - Funding Information:
This research was funded by the US Environmental Protection Agency under contract #68HERH19D0027. The views expressed in this article are those of the authors and do not necessarily represent the views or policies of the US Environmental Protection Agency.
Publisher Copyright:
© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2024.
PY - 2024/9/18
Y1 - 2024/9/18
N2 - Developing future climate projections begins with choosing future emissions scenarios. While scenarios are often based on storylines, here instead we produce a probabilistic multi-million-member ensemble of radiative forcing trajectories to assess the relevance of future forcing thresholds. We coupled a probabilistic database of future greenhouse gas emission scenarios with a probabilistically calibrated reduced complexity climate model. In 2100, we project median forcings of 5.1 watt per square meters (5th to 95th percentiles of 3.3 to 7.1), with roughly 0.5% probability of exceeding 8.5 watt per square meters, and a 1% probability of being lower than 2.6 watt per square meters. Although the probability of 8.5 watt per square meters scenarios is low, our results support their continued utility for calibrating damage functions, characterizing climate in the 22nd century (the probability of exceeding 8.5 watt per square meters increases to about 7% by 2150), and assessing low-probability/high-impact futures.
AB - Developing future climate projections begins with choosing future emissions scenarios. While scenarios are often based on storylines, here instead we produce a probabilistic multi-million-member ensemble of radiative forcing trajectories to assess the relevance of future forcing thresholds. We coupled a probabilistic database of future greenhouse gas emission scenarios with a probabilistically calibrated reduced complexity climate model. In 2100, we project median forcings of 5.1 watt per square meters (5th to 95th percentiles of 3.3 to 7.1), with roughly 0.5% probability of exceeding 8.5 watt per square meters, and a 1% probability of being lower than 2.6 watt per square meters. Although the probability of 8.5 watt per square meters scenarios is low, our results support their continued utility for calibrating damage functions, characterizing climate in the 22nd century (the probability of exceeding 8.5 watt per square meters increases to about 7% by 2150), and assessing low-probability/high-impact futures.
UR - http://dx.doi.org/10.1038/s41467-024-52437-9
UR - http://www.scopus.com/inward/record.url?scp=85204289471&partnerID=8YFLogxK
U2 - 10.1038/s41467-024-52437-9
DO - 10.1038/s41467-024-52437-9
M3 - Article
C2 - 39294116
SN - 2041-1723
VL - 15
JO - Nature communications
JF - Nature communications
M1 - 8185
ER -