U.S. Department of EnergyOffice of Scientific and Technical Information
The ARM Best Estimate 2-dimensional Gridded Surface
Abstract
The ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set merges together key surface measurements at the Southern Great Plains (SGP) sites and interpolates the data to a regular 2D grid to facilitate data application. Data from the original site locations can be found in the ARM Best Estimate Station-based Surface (ARMBESTNS) data set.
- Authors:
-
- ORNL
- Publication Date:
- 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:
- PNL, BNL,ANL,ORNL
- Subject:
- 54 ENVIRONMENTAL SCIENCES; ARMBE2DGRID
- OSTI Identifier:
- 1178331
- DOI:
- https://doi.org/10.5439/1178331
Citation Formats
Xie, Shaocheng, and Qi, Tang. The ARM Best Estimate 2-dimensional Gridded Surface. United States: N. p., 2015.
Web. doi:10.5439/1178331.
Xie, Shaocheng, & Qi, Tang. The ARM Best Estimate 2-dimensional Gridded Surface. United States. doi:https://doi.org/10.5439/1178331
Xie, Shaocheng, and Qi, Tang. 2015.
"The ARM Best Estimate 2-dimensional Gridded Surface". United States. doi:https://doi.org/10.5439/1178331. https://www.osti.gov/servlets/purl/1178331. Pub date:Mon Jun 15 00:00:00 EDT 2015
@article{osti_1178331,
title = {The ARM Best Estimate 2-dimensional Gridded Surface},
author = {Xie, Shaocheng and Qi, Tang},
abstractNote = {The ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set merges together key surface measurements at the Southern Great Plains (SGP) sites and interpolates the data to a regular 2D grid to facilitate data application. Data from the original site locations can be found in the ARM Best Estimate Station-based Surface (ARMBESTNS) data set.},
doi = {10.5439/1178331},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 15 00:00:00 EDT 2015},
month = {Mon Jun 15 00:00:00 EDT 2015}
}
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