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Title: Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling: Quantifying Aerosol Subgrid Variability

Authors:
ORCiD logo [1]; ORCiD logo [1];  [2];  [3]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Pacific Northwest National Laboratory, Richland Washington USA
  2. Pacific Northwest National Laboratory, Richland Washington USA, College of Atmospheric Science, Nanjing University of Information and Technology, Nanjing China
  3. Pacific Northwest National Laboratory, Richland Washington USA, School of Earth and Space Sciences, University of Science and Technology of China, Hefei China
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1402250
Grant/Contract Number:  
SciDAC
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Volume: 122; Journal Issue: 12; Related Information: CHORUS Timestamp: 2017-10-23 17:19:46; Journal ID: ISSN 2169-897X
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United States
Language:
English

Citation Formats

Lin, Guangxing, Qian, Yun, Yan, Huiping, Zhao, Chun, Ghan, Steven J., Easter, Richard, and Zhang, Kai. Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling: Quantifying Aerosol Subgrid Variability. United States: N. p., 2017. Web. doi:10.1002/2017JD026567.
Lin, Guangxing, Qian, Yun, Yan, Huiping, Zhao, Chun, Ghan, Steven J., Easter, Richard, & Zhang, Kai. Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling: Quantifying Aerosol Subgrid Variability. United States. doi:10.1002/2017JD026567.
Lin, Guangxing, Qian, Yun, Yan, Huiping, Zhao, Chun, Ghan, Steven J., Easter, Richard, and Zhang, Kai. Fri . "Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling: Quantifying Aerosol Subgrid Variability". United States. doi:10.1002/2017JD026567.
@article{osti_1402250,
title = {Quantification of marine aerosol subgrid variability and its correlation with clouds based on high-resolution regional modeling: Quantifying Aerosol Subgrid Variability},
author = {Lin, Guangxing and Qian, Yun and Yan, Huiping and Zhao, Chun and Ghan, Steven J. and Easter, Richard and Zhang, Kai},
abstractNote = {},
doi = {10.1002/2017JD026567},
journal = {Journal of Geophysical Research: Atmospheres},
number = 12,
volume = 122,
place = {United States},
year = {Fri Jun 16 00:00:00 EDT 2017},
month = {Fri Jun 16 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1002/2017JD026567

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