Predicting Atmospheric Water-Soluble Organic Mass Reversibly Partitioned to Aerosol Liquid Water in the Eastern United States

Marwa M.H. El-Sayed; Siddharth S. Parida; Prashant Shekhar; Amy Sullivan; Christopher J. Hennigan

doi:10.1021/acs.est.3c01259

Predicting Atmospheric Water-Soluble Organic Mass Reversibly Partitioned to Aerosol Liquid Water in the Eastern United States

Marwa M.H. El-Sayed
, Siddharth S. Parida
, Prashant Shekhar
, Amy Sullivan
, Christopher J. Hennigan

Embry-Riddle Aeronautical University
Colorado State University
College of Engineering and Information Technology

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

Original language	English
Pages (from-to)	18151-18161
Number of pages	11
Journal	Environmental Science and Technology
Volume	57
Issue number	46
DOIs	https://doi.org/10.1021/acs.est.3c01259
State	Published - Nov 21 2023
Externally published	Yes

ASJC Scopus Subject Areas

General Chemistry
Environmental Chemistry

Keywords

aerosol drying
aerosol liquid water content
evaporated organic aerosol
machine learning algorithm
statistical modeling

Access to Document

10.1021/acs.est.3c01259

Cite this

@article{b0f2201701af4756a7df3b28fc63a81e,

title = "Predicting Atmospheric Water-Soluble Organic Mass Reversibly Partitioned to Aerosol Liquid Water in the Eastern United States",

keywords = "aerosol drying, aerosol liquid water content, evaporated organic aerosol, machine learning algorithm, statistical modeling",

author = "El-Sayed, \{Marwa M.H.\} and Parida, \{Siddharth S.\} and Prashant Shekhar and Amy Sullivan and Hennigan, \{Christopher J.\}",

note = "Publisher Copyright: {\textcopyright} 2023 American Chemical Society",

year = "2023",

month = nov,

day = "21",

doi = "10.1021/acs.est.3c01259",

language = "English",

volume = "57",

pages = "18151--18161",

journal = "Environmental Science and Technology",

issn = "0013-936X",

number = "46",

}

TY - JOUR

T1 - Predicting Atmospheric Water-Soluble Organic Mass Reversibly Partitioned to Aerosol Liquid Water in the Eastern United States

AU - El-Sayed, Marwa M.H.

AU - Parida, Siddharth S.

AU - Shekhar, Prashant

AU - Sullivan, Amy

AU - Hennigan, Christopher J.

PY - 2023/11/21

Y1 - 2023/11/21

KW - aerosol drying

KW - aerosol liquid water content

KW - evaporated organic aerosol

KW - machine learning algorithm

KW - statistical modeling

UR - https://www.scopus.com/pages/publications/85178371473

UR - https://www.scopus.com/pages/publications/85178371473#tab=citedBy

U2 - 10.1021/acs.est.3c01259

DO - 10.1021/acs.est.3c01259

M3 - Article

C2 - 37952161

AN - SCOPUS:85178371473

SN - 0013-936X

VL - 57

SP - 18151

EP - 18161

JO - Environmental Science and Technology

JF - Environmental Science and Technology

IS - 46

ER -

Predicting Atmospheric Water-Soluble Organic Mass Reversibly Partitioned to Aerosol Liquid Water in the Eastern United States

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Cite this