Clouds and more: ARM climate modeling best estimate data: A new data product for climate studies
Abstract
The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program (www.arm.gov) was created in 1989 to address scientific uncertainties related to global climate change, with a focus on the crucial role of clouds and their influence on the transfer of radiation atmosphere. Here, a central activity is the acquisition of detailed observations of clouds and radiation, as well as related atmospheric variables for climate model evaluation and improvement.
- Authors:
-
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- The Pennsylvania State Univ., University Park, PA (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- NOAA Geophysical Fluid Dynamics Lab., Princeton, NJ (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Univ. of Wisconsin, Madison, WI (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab., Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1281659
- Report Number(s):
- LLNL-JRNL-412676
Journal ID: ISSN 0003-0007
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Bulletin of the American Meteorological Society
- Additional Journal Information:
- Journal Volume: 91; Journal Issue: 1; Journal ID: ISSN 0003-0007
- Publisher:
- American Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Xie, Shaocheng, McCoy, Renata B., Klein, Stephen A., Cederwall, Richard T., Wiscombe, Warren J., Clothiaux, Eugene E., Gaustad, Krista L., Golaz, Jean -Christophe, Hall, Stephanie D., Jensen, Michael P., Johnson, Karen L., Lin, Yanluan, Long, Charles N., Mather, James H., McCord, Raymond A., McFarlane, Sally A., Palanisamy, Giri, Shi, Yan, and Turner, David D. Clouds and more: ARM climate modeling best estimate data: A new data product for climate studies. United States: N. p., 2010.
Web. doi:10.1175/2009BAMS2891.1.
Xie, Shaocheng, McCoy, Renata B., Klein, Stephen A., Cederwall, Richard T., Wiscombe, Warren J., Clothiaux, Eugene E., Gaustad, Krista L., Golaz, Jean -Christophe, Hall, Stephanie D., Jensen, Michael P., Johnson, Karen L., Lin, Yanluan, Long, Charles N., Mather, James H., McCord, Raymond A., McFarlane, Sally A., Palanisamy, Giri, Shi, Yan, & Turner, David D. Clouds and more: ARM climate modeling best estimate data: A new data product for climate studies. United States. https://doi.org/10.1175/2009BAMS2891.1
Xie, Shaocheng, McCoy, Renata B., Klein, Stephen A., Cederwall, Richard T., Wiscombe, Warren J., Clothiaux, Eugene E., Gaustad, Krista L., Golaz, Jean -Christophe, Hall, Stephanie D., Jensen, Michael P., Johnson, Karen L., Lin, Yanluan, Long, Charles N., Mather, James H., McCord, Raymond A., McFarlane, Sally A., Palanisamy, Giri, Shi, Yan, and Turner, David D. Fri .
"Clouds and more: ARM climate modeling best estimate data: A new data product for climate studies". United States. https://doi.org/10.1175/2009BAMS2891.1. https://www.osti.gov/servlets/purl/1281659.
@article{osti_1281659,
title = {Clouds and more: ARM climate modeling best estimate data: A new data product for climate studies},
author = {Xie, Shaocheng and McCoy, Renata B. and Klein, Stephen A. and Cederwall, Richard T. and Wiscombe, Warren J. and Clothiaux, Eugene E. and Gaustad, Krista L. and Golaz, Jean -Christophe and Hall, Stephanie D. and Jensen, Michael P. and Johnson, Karen L. and Lin, Yanluan and Long, Charles N. and Mather, James H. and McCord, Raymond A. and McFarlane, Sally A. and Palanisamy, Giri and Shi, Yan and Turner, David D.},
abstractNote = {The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program (www.arm.gov) was created in 1989 to address scientific uncertainties related to global climate change, with a focus on the crucial role of clouds and their influence on the transfer of radiation atmosphere. Here, a central activity is the acquisition of detailed observations of clouds and radiation, as well as related atmospheric variables for climate model evaluation and improvement.},
doi = {10.1175/2009BAMS2891.1},
journal = {Bulletin of the American Meteorological Society},
number = 1,
volume = 91,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 2010},
month = {Fri Jan 01 00:00:00 EST 2010}
}
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- Kennedy, Aaron D.; Dong, Xiquan; Xi, Baike
- Theoretical and Applied Climatology, Vol. 115, Issue 1-2
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- Gairing, Jan M.; Högele, Michael A.; Kosenkova, Tania
- Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 27, Issue 7
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- Jin, Menglin; Dickinson, Robert E.
- Environmental Research Letters, Vol. 5, Issue 4
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- Advances in Data Science and Adaptive Analysis, Vol. 10, Issue 04
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- Qian, Y.; Long, C. N.; Wang, H.
- Atmospheric Chemistry and Physics, Vol. 12, Issue 4
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- Mulcahy, J. P.; Walters, D. N.; Bellouin, N.
- Atmospheric Chemistry and Physics, Vol. 14, Issue 9
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- Tang, Shuaiqi; Xie, Shaocheng; Zhang, Yunyan
- Atmospheric Chemistry and Physics, Vol. 16, Issue 22
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journal, January 2012
- Huang, D.; Zhao, C.; Dunn, M.
- Atmospheric Measurement Techniques, Vol. 5, Issue 6
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- Chiriaco, Marjolaine; Dupont, Jean-Charles; Bastin, Sophie
- Earth System Science Data, Vol. 10, Issue 2
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journal, January 2011
- Huang, D.; Zhao, C.; Dunn, M.
- Atmospheric Measurement Techniques Discussions, Vol. 4, Issue 6
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