Articles | Volume 16, issue 23
https://doi.org/10.5194/acp-16-14843-2016
https://doi.org/10.5194/acp-16-14843-2016
Research article
 | 
30 Nov 2016
Research article |  | 30 Nov 2016

Seasonal prediction of winter haze days in the north central North China Plain

Zhicong Yin and Huijun Wang

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Short summary
Recently, the winter haze pollution over the north central North China Plain has become severe. By treating the year-to-year increment as the predictand, two new statistical schemes were established using the multiple linear regression and the generalized additive model approaches. After cross validation, both of these models could capture the interannual and interdecadal trends and the extremums successfully. Independent tests for 2014 and 2015 also confirmed the good predictive skill.
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