Quantifying errors in the aerosol mixing-state index based on limited particle sample size-Reference-Cited by-同舟云学术

Quantifying errors in the aerosol mixing-state index based on limited particle sample size

Published:2020-09-03 Issue:12 Volume:54 Page:1527-1541
ISSN:0278-6826
Container-title:Aerosol Science and Technology
language:en
Short-container-title:Aerosol Science and Technology

Author:

Gasparik J. T.¹^ORCID,Ye Q.²^ORCID,Curtis J. H.³^ORCID,Presto A. A.²⁴^ORCID,Donahue N. M.²^ORCID,Sullivan R. C.²^ORCID,West M.³^ORCID,Riemer N.¹^ORCID

Affiliation:

1. Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA

2. Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

3. Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA

4. Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

Funder

Environmental Protection Agency

National Science Foundation

Publisher

Informa UK Limited

Subject

Pollution,General Materials Science,Environmental Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/02786826.2020.1804523

Reference42 articles.

1. On Exponentially Concave Functions and Their Impact in Information Theory

2. Undersampling and the measurement of beta diversity

3. A new multicomponent heterogeneous ice nucleation model and its application to Snomax bacterial particles and a Snomax–illite mineral particle mixture

4. The diverse chemical mixing state of aerosol particles in the southeastern United States

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