Fig. 4: Contribution of climate modes to heatwave intensity in Bayesian DLM for the pre-abrupt and post-abrupt periods in each of the seven subregions. | npj Climate and Atmospheric Science

Fig. 4: Contribution of climate modes to heatwave intensity in Bayesian DLM for the pre-abrupt and post-abrupt periods in each of the seven subregions.

From: Intensification of heatwaves in China in recent decades: Roles of climate modes

Fig. 4: Contribution of climate modes to heatwave intensity in Bayesian DLM for the pre-abrupt and post-abrupt periods in each of the seven subregions.The alternative text for this image may have been generated using AI.

a The correlation coefficient between the total climate modes’ contribution (ENSO + AMO + IOD) and the full Bayesian DLM simulations (horizontal segments, left axis), and the standard deviation (STD) of total climate modes’ contribution for the pre-abrupt and post-abrupt periods (histogram, right axis) for each region. b The STD of heatwave intensity is explained by ENSO, AMO, and IOD, respectively. c The correlation between DLM simulation and each climate mode’s contribution. d The difference of EHF between pre-abrupt and post-abrupt periods (post subtracts pre) contributed by each climate mode.

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