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J Geophys Res Atmos

Title:		Using satellite-based measurements to explore spatiotemporal scales and variability of drivers of new particle formation
Author(s):		Sullivan RC; Crippa P; Hallar AG; Clarisse L; Whitburn S; Van Damme M; Leaitch WR; Walker JT; Khlystov A; Pryor SC;
Address:		"Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, New York, USA. COMET, School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, UK. Storm Peak Laboratory, Desert Research Institute, Steamboat Springs, Colorado, USA; Atmospheric Science Department, University of Utah, Salt Lake City, Utah, USA. Environment Canada, Toronto, Ontario, Canada. National Risk Management Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Durham, North Carolina, USA. Desert Research Institute, Reno, Nevada, USA. Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, New York, USA; Pervasive Technology Institute, Indiana University, Bloomington, Indiana, USA"
Journal Title:		J Geophys Res Atmos
Year:		2016
Volume:		121
Issue:		20
Page Number:		12217 - 12235
DOI:		10.1002/2016jd025568
ISSN/ISBN:		2169-897X (Print) 2169-8996 (Electronic) 2169-897X (Linking)
Abstract:		"New particle formation (NPF) can potentially alter regional climate by increasing aerosol particle (hereafter particle) number concentrations and ultimately cloud condensation nuclei. The large scales on which NPF is manifest indicate potential to use satellite-based (inherently spatially averaged) measurements of atmospheric conditions to diagnose the occurrence of NPF and NPF characteristics. We demonstrate the potential for using satellite-based measurements of insolation (UV), trace gas concentrations (sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), ammonia (NH(3)), formaldehyde (HCHO), and ozone (O(3))), aerosol optical properties (aerosol optical depth (AOD) and Angstrom exponent (AE)), and a proxy of biogenic volatile organic compound emissions (leaf area index (LAI) and temperature (T)) 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-day autocorrelation, and is associated with low condensational sink (AOD x AE) and HCHO concentrations, and high UV. However, there are important site-to-site 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(2), and UV), use of additional predictors (NO(2), NH(3), HCHO, LAI, T, and O(3)) increases the explained temporal variance of UFP concentrations at all sites"
Keywords:
Notes:		"PubMed-not-MEDLINESullivan, R C Crippa, P Hallar, A G Clarisse, L Whitburn, S Van Damme, M Leaitch, W R Walker, J T Khlystov, A Pryor, S C eng EPA999999/ImEPA/Intramural EPA/ 2016/01/01 J Geophys Res Atmos. 2016; 121(20):12217-12235. doi: 10.1002/2016jd025568"