Empirical functions for atmospheric aerosol size distributions

Michael Ram; Robert I. Gayley; Glenn E. Shaw

doi:10.1016/0021-8502(89)90010-4

Empirical functions for atmospheric aerosol size distributions

Michael Ram
, Robert I. Gayley
, Glenn E. Shaw

Physics

SUNY Buffalo
University of Alaska Fairbanks

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Two- and three-parameter functions are proposed for fitting aerosol size distributions that have a maximum and exhibit log-linear behaviour at large radii. To demonstrate their usefulness, we fit the functions to measured size distributions of insoluble particles recovered from sections of Greenland and Antarctic ice cores.

Original language	English
Pages (from-to)	351-353
Number of pages	3
Journal	Journal of Aerosol Science
Volume	20
Issue number	3
DOIs	https://doi.org/10.1016/0021-8502(89)90010-4
State	Published - 1989

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title = "Empirical functions for atmospheric aerosol size distributions",

abstract = "Two- and three-parameter functions are proposed for fitting aerosol size distributions that have a maximum and exhibit log-linear behaviour at large radii. To demonstrate their usefulness, we fit the functions to measured size distributions of insoluble particles recovered from sections of Greenland and Antarctic ice cores.",

author = "Michael Ram and Gayley, \{Robert I.\} and Shaw, \{Glenn E.\}",

year = "1989",

doi = "10.1016/0021-8502(89)90010-4",

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T1 - Empirical functions for atmospheric aerosol size distributions

AU - Ram, Michael

AU - Gayley, Robert I.

AU - Shaw, Glenn E.

PY - 1989

Y1 - 1989

N2 - Two- and three-parameter functions are proposed for fitting aerosol size distributions that have a maximum and exhibit log-linear behaviour at large radii. To demonstrate their usefulness, we fit the functions to measured size distributions of insoluble particles recovered from sections of Greenland and Antarctic ice cores.

AB - Two- and three-parameter functions are proposed for fitting aerosol size distributions that have a maximum and exhibit log-linear behaviour at large radii. To demonstrate their usefulness, we fit the functions to measured size distributions of insoluble particles recovered from sections of Greenland and Antarctic ice cores.

UR - https://www.scopus.com/pages/publications/0024874065

U2 - 10.1016/0021-8502(89)90010-4

DO - 10.1016/0021-8502(89)90010-4

M3 - Article

AN - SCOPUS:0024874065

SN - 0021-8502

VL - 20

SP - 351

EP - 353

JO - Journal of Aerosol Science

JF - Journal of Aerosol Science

IS - 3

ER -

Empirical functions for atmospheric aerosol size distributions

Abstract

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