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Title: Improving Trigger Functions for Convective Parameterization Schemes Using GOAmazon Observations

Authors:
 [1];  [1]
  1. Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1396322
Grant/Contract Number:  
SC0016504
Resource Type:
Journal Article: Published Article
Journal Name:
Journal of Climate
Additional Journal Information:
Journal Name: Journal of Climate Journal Volume: 30 Journal Issue: 21; Journal ID: ISSN 0894-8755
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English

Citation Formats

Song, Fengfei, and Zhang, Guang J. Improving Trigger Functions for Convective Parameterization Schemes Using GOAmazon Observations. United States: N. p., 2017. Web. doi:10.1175/JCLI-D-17-0042.1.
Song, Fengfei, & Zhang, Guang J. Improving Trigger Functions for Convective Parameterization Schemes Using GOAmazon Observations. United States. doi:10.1175/JCLI-D-17-0042.1.
Song, Fengfei, and Zhang, Guang J. Wed . "Improving Trigger Functions for Convective Parameterization Schemes Using GOAmazon Observations". United States. doi:10.1175/JCLI-D-17-0042.1.
@article{osti_1396322,
title = {Improving Trigger Functions for Convective Parameterization Schemes Using GOAmazon Observations},
author = {Song, Fengfei and Zhang, Guang J.},
abstractNote = {},
doi = {10.1175/JCLI-D-17-0042.1},
journal = {Journal of Climate},
number = 21,
volume = 30,
place = {United States},
year = {Wed Nov 01 00:00:00 EDT 2017},
month = {Wed Nov 01 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1175/JCLI-D-17-0042.1

Citation Metrics:
Cited by: 1 work
Citation information provided by
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