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The large scales on which NPF is manifest indicate potential to use satellite\u2010based (inherently spatially averaged) measurements of atmospheric conditions to diagnose the occurrence of NPF and NPF characteristics. We demonstrate the potential for using satellite\u2010based measurements of insolation (UV), trace gas concentrations (sulfur dioxide (SO<jats:sub>2<\/jats:sub>), nitrogen dioxide (NO<jats:sub>2<\/jats:sub>), ammonia (NH<jats:sub>3<\/jats:sub>), formaldehyde (HCHO), and ozone (O<jats:sub>3<\/jats:sub>)), aerosol optical properties (aerosol optical depth (AOD) and \u00c5ngstr\u00f6m exponent (AE)), and a proxy of biogenic volatile organic compound emissions (leaf area index (LAI) and temperature (<jats:italic>T<\/jats:italic>)) as predictors for NPF characteristics: formation rates, growth rates, survival probabilities, and ultrafine particle (UFP) concentrations at five locations across North America. NPF at all sites is most frequent in spring, exhibits a one\u2010day autocorrelation, and is associated with low condensational sink (AOD\u2009\u00d7\u2009AE) and HCHO concentrations, and high UV. However, there are important site\u2010to\u2010site variations in NPF frequency and characteristics, and in which of the predictor variables (particularly gas concentrations) significantly contribute to the explanatory power of regression models built to predict those characteristics. This finding may provide a partial explanation for the reported spatial variability in skill of simple generalized nucleation schemes in reproducing observed NPF. In contrast to more simple proxies developed in prior studies (e.g., based on AOD, AE, SO<jats:sub>2<\/jats:sub>, and UV), use of additional predictors (NO<jats:sub>2<\/jats:sub>, NH<jats:sub>3<\/jats:sub>, HCHO, LAI, T, and O<jats:sub>3<\/jats:sub>) increases the explained temporal variance of UFP concentrations at all sites.<\/jats:p>","DOI":"10.1002\/2016jd025568","type":"journal-article","created":{"date-parts":[[2016,9,26]],"date-time":"2016-09-26T00:16:39Z","timestamp":1474848999000},"source":"Crossref","is-referenced-by-count":6,"title":["Using satellite\u2010based measurements to explore spatiotemporal scales and variability of drivers of new particle formation"],"prefix":"10.1029","volume":"121","author":[{"given":"R. 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