Evaluation of factors controlling global secondary organic aerosol production from cloud processes

摘要: Secondary organic aerosols (SOA) exert a significant influence on ambient air quality and regional climate. Recent field, laboratorial modeling studies have confirmed that in-cloud processes contribute to large fraction of SOA production with space-time heterogeneity. This study evaluates the key factors govern cloud-process (SOA cld ) global scale based GFDL coupled chemistry-climate model AM3 in which full cloud chemistry is employed. The association between rate six (i.e., liquid water content (LWC), total carbon chemical loss (TC ), temperature, VOC/NO x , OH, O 3 examined. We find LWC alone determines spatial pattern production, particularly over tropical, subtropical temperate forest regions, strongly correlated production. TC ranks second mainly represents seasonal variability vegetation growth. Other individual are essentially uncorrelated spatiotemporally simultaneously determined by both but responds linearly nonlinearly (or concavely) . A parameterization can capture well temporal process-based formation ( R 2 = 0.5) be easily applied three dimensional models represent from processes.