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Title: Using the Atmospheric Radiation Measurement (ARM) Datasets to Evaluate Climate Models in Simulating Diurnal and Seasonal Variations of Tropical Clouds

Authors:
ORCiD logo [1] ;  [1] ;  [1] ;  [1] ;  [1]
  1. Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington
Publication Date:
Grant/Contract Number:
AC05-76RLO1830
Type:
Published Article
Journal Name:
Journal of Climate
Additional Journal Information:
Journal Name: Journal of Climate Journal Volume: 31 Journal Issue: 8; Journal ID: ISSN 0894-8755
Publisher:
American Meteorological Society
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
Language:
English
OSTI Identifier:
1429964

Wang, Hailong, Burleyson, Casey D., Ma, Po-Lun, Fast, Jerome D., and Rasch, Philip J.. Using the Atmospheric Radiation Measurement (ARM) Datasets to Evaluate Climate Models in Simulating Diurnal and Seasonal Variations of Tropical Clouds. United States: N. p., Web. doi:10.1175/JCLI-D-17-0362.1.
Wang, Hailong, Burleyson, Casey D., Ma, Po-Lun, Fast, Jerome D., & Rasch, Philip J.. Using the Atmospheric Radiation Measurement (ARM) Datasets to Evaluate Climate Models in Simulating Diurnal and Seasonal Variations of Tropical Clouds. United States. doi:10.1175/JCLI-D-17-0362.1.
Wang, Hailong, Burleyson, Casey D., Ma, Po-Lun, Fast, Jerome D., and Rasch, Philip J.. 2018. "Using the Atmospheric Radiation Measurement (ARM) Datasets to Evaluate Climate Models in Simulating Diurnal and Seasonal Variations of Tropical Clouds". United States. doi:10.1175/JCLI-D-17-0362.1.
@article{osti_1429964,
title = {Using the Atmospheric Radiation Measurement (ARM) Datasets to Evaluate Climate Models in Simulating Diurnal and Seasonal Variations of Tropical Clouds},
author = {Wang, Hailong and Burleyson, Casey D. and Ma, Po-Lun and Fast, Jerome D. and Rasch, Philip J.},
abstractNote = {},
doi = {10.1175/JCLI-D-17-0362.1},
journal = {Journal of Climate},
number = 8,
volume = 31,
place = {United States},
year = {2018},
month = {4}
}