Impacts of large-scale circulation patterns on winter haze over China: from extreme events to interannual variability Beixi Jia 1, Yuxuan Wang 1,2, Qianqian.

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Impacts of large-scale circulation patterns on winter haze over China: from extreme events to interannual variability Beixi Jia 1, Yuxuan Wang 1,2, Qianqian Zhang 1 1 Tsinghua University 2 Texas A&M University 6 May 2015

Severe haze in Jan 2013 and the anomalous large-scale pattern 2 Surface PM 2.5 (Jan 2013) Jan SLP and 850hPa winds ( ) Jan 2013 SLP and 850hPa wind anomaly Siberian High Wang Y et al., JGR, 2014 The change of the large-scale circulation pattern in Jan The connections between wintertime PM and the large-scale circulation patterns on a longer time-scale.

Winter PM in China and Siberian High variability 3 NC Aerosol Optical Depth (AOD) from MODIS (DJF, ) mean vs mean North China mean AOD Increase: +1.5% yr -1 Siberian High Index (SHI): conventionally defined by its center intensity

r= 0.76 p<0.01 A new index: Siberian High Position Index (SHPI) 4 Siberian High Position Index (SHPI): weighted mean longitude where L i is the longitude of any eligible grid i within the 1023 hPa isobar and the definition domain; P i is the SLP of the corresponding grid. ∆SLP and 850 hPa winds (high-AOD yr minus low-AOD yr) NC Siberian High Position Index (SHPI ) and detrended NC AOD

Jan r=0.98 p<0.01 Model SHPI and NCEP SHPI for Jans from 2001 to 2013 MODIS NC AOD and model NC surface PM 2.5 (ug/m3) for Jans from 2001 to 2013 Simulated SHPI and PM 2.5 in GEOS-Chem NCEP SHPI and MODIS NC AOD for Jans from 2001 to 2013 Model SHPI and NC PM for Jans from 2006 to 2013 r=0.88 p<0.01

Mechanism (NCEP from 1982 to 2011) 6 ∆850 hPa wind speed (m/s) ∆surface relative humidity (%) (high-SHPI yr minus low-SHPI yr) -13% + 12% pollution accumulation hygroscopic growth Meteorological conditions over NC

Summary   The eastward extension of the Siberian High characterizes the anomalous large-scale circulation in January 2013, which is partly responsible for the severe haze in China of that month.   SHPI explains 58% of the interannual variance in AOD over North China. Some high-PM events correspond well with high-SHPI both in observation and in the model simulation.   The enhanced RH and the suppressed prevailing winds over NC in high-SHPI winters lead to enhanced hygroscopic growth and pollution accumulation. 7