Predicting the Impact of Climate Change on Severe Wintertime Particulate Pollution Events in Beijing Using Extreme Value Theory

Abstract We use extreme value theory to develop point process statistical models relating the probability of extreme winter particulate pollution events in Beijing (“winter haze”) to local meteorological variables. The models are trained with the 2009–2017 record of fine particulate matter concentra...

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Bibliographic Details

Published in:	Geophysical Research Letters
Main Authors:	D. C. Pendergrass, L. Shen, D. J. Jacob, L. J. Mickley
Format:	Article
Language:	English
Published:	Wiley 2019-02-01
Subjects:	extreme value theory particulate matter Beijing climate change smog winter haze
Online Access:	https://doi.org/10.1029/2018GL080102