Large-scale continuous forcing data for SGP based on RAP analysis 201205-201901, 201903-201908

Tao, Cheng; Xie, Shaocheng

doi:10.5439/1647174

Title: Large-scale continuous forcing data for SGP based on RAP analysis 201205-201901, 201903-201908

Dataset
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Abstract

The ARM large-scale forcing data from the constrained variational analysis (VARANAL) version 2

Authors:

Tao, Cheng; Xie, Shaocheng

ORNL

Publication Date:: Tue May 01 00:00:00 EDT 2012

DOE Contract Number:: AC05-00OR22725

Research Org.:: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Collaborations:: PNNL, BNL, ANL, ORNL

Subject:: 54 ENVIRONMENTAL SCIENCES; VARANAL

OSTI Identifier:: 1647174

DOI:: https://doi.org/10.5439/1647174

Citation Formats


                    Tao, Cheng, and Xie, Shaocheng. Large-scale continuous forcing data for SGP based on RAP analysis 201205-201901, 201903-201908.  United States: N. p., 2012. 
        Web.  doi:10.5439/1647174.

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                    Tao, Cheng, & Xie, Shaocheng. Large-scale continuous forcing data for SGP based on RAP analysis 201205-201901, 201903-201908.  United States.  doi:https://doi.org/10.5439/1647174

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                    Tao, Cheng, and Xie, Shaocheng. 2012.  
"Large-scale continuous forcing data for SGP based on RAP analysis 201205-201901, 201903-201908".  United States.  doi:https://doi.org/10.5439/1647174.  https://www.osti.gov/servlets/purl/1647174. Pub date:Tue May 01 00:00:00 EDT 2012

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@article{osti_1647174,

  title        = {Large-scale continuous forcing data for SGP based on RAP analysis 201205-201901, 201903-201908},

  author       = {Tao, Cheng and Xie, Shaocheng},

  abstractNote = {The ARM large-scale forcing data from the constrained variational analysis (VARANAL) version 2},

  doi          = {10.5439/1647174},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue May 01 00:00:00 EDT 2012},

  month        = {Tue May 01 00:00:00 EDT 2012}

}

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DOI: https://doi.org/10.5439/1647174

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