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Title: The ARM Best Estimate Station-based Surface (ARMBESTNS) Data set

Abstract

The ARM Best Estimate Station-based Surface (ARMBESTNS) data set merges together key surface measurements from the Southern Great Plains (SGP) sites. It is a twin data product of the ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set. Unlike the 2DGRID data set, the STNS data are reported at the original site locations and show the original information, except for the interpolation over time. Therefore, users have the flexibility to process the data with the approach more suitable for their applications.

Authors:
;
Publication Date:
DOE Contract Number:  
DE-AC05-00OR22725
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Collaborations:
PNL, BNL,ANL,ORNL
Subject:
54 Environmental Sciences
Keywords:
ARMBESTNS
OSTI Identifier:
1178332
DOI:
https://doi.org/10.5439/1178332

Citation Formats

Qi, Tang, and Xie, Shaocheng. The ARM Best Estimate Station-based Surface (ARMBESTNS) Data set. United States: N. p., 2015. Web. doi:10.5439/1178332.
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Qi, Tang, & Xie, Shaocheng. The ARM Best Estimate Station-based Surface (ARMBESTNS) Data set. United States. doi:https://doi.org/10.5439/1178332
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Qi, Tang, and Xie, Shaocheng. 2015. "The ARM Best Estimate Station-based Surface (ARMBESTNS) Data set". United States. doi:https://doi.org/10.5439/1178332. https://www.osti.gov/servlets/purl/1178332. Pub date:Thu Aug 06 00:00:00 EDT 2015
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@article{osti_1178332,
title = {The ARM Best Estimate Station-based Surface (ARMBESTNS) Data set},
author = {Qi, Tang and Xie, Shaocheng},
abstractNote = {The ARM Best Estimate Station-based Surface (ARMBESTNS) data set merges together key surface measurements from the Southern Great Plains (SGP) sites. It is a twin data product of the ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set. Unlike the 2DGRID data set, the STNS data are reported at the original site locations and show the original information, except for the interpolation over time. Therefore, users have the flexibility to process the data with the approach more suitable for their applications.},
doi = {10.5439/1178332},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Aug 06 00:00:00 EDT 2015},
month = {Thu Aug 06 00:00:00 EDT 2015}
}
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Dataset:
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DOI: https://doi.org/10.5439/1178332
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