Water vapor mixing ratio from Raman Lidar

Newsom, Robert; Sivaraman, Chitra; Zhang, Damao

doi:10.5439/1417037

Title: Water vapor mixing ratio from Raman Lidar

Dataset
Other Related Research

Abstract

The data set represents output from a revised version of the Raman lidar water vapor mixing ratio VAP, which will replace the older mixing ratio VAP.

Authors:

Newsom, Robert; Sivaraman, Chitra; Zhang, Damao

ORNL

Publication Date:: Wed May 16 00:00:00 EDT 2018

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; Raman Lidar, water vapor mixing ratio, high channel and low channel water vapor mixing ratio, atmospheric moisture, sgp, ena, oli

OSTI Identifier:: 1417037

DOI:: https://doi.org/10.5439/1417037

Citation Formats


                    Newsom, Robert, Sivaraman, Chitra, and Zhang, Damao. Water vapor mixing ratio from Raman Lidar.  United States: N. p., 2018. 
        Web.  doi:10.5439/1417037.

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                    Newsom, Robert, Sivaraman, Chitra, & Zhang, Damao. Water vapor mixing ratio from Raman Lidar.  United States.  doi:https://doi.org/10.5439/1417037

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                    Newsom, Robert, Sivaraman, Chitra, and Zhang, Damao. 2018.  
"Water vapor mixing ratio from Raman Lidar".  United States.  doi:https://doi.org/10.5439/1417037.  https://www.osti.gov/servlets/purl/1417037. Pub date:Wed May 16 00:00:00 EDT 2018

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@article{osti_1417037,

  title        = {Water vapor mixing ratio from Raman Lidar},

  author       = {Newsom, Robert and Sivaraman, Chitra and Zhang, Damao},

  abstractNote = {The data set represents output from a revised version of the Raman lidar water vapor mixing ratio VAP, which will replace the older mixing ratio VAP.},

  doi          = {10.5439/1417037},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed May 16 00:00:00 EDT 2018},

  month        = {Wed May 16 00:00:00 EDT 2018}

}

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DOI: https://doi.org/10.5439/1417037

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