U.S. Department of EnergyOffice of Scientific and Technical Information
SGP Precipitation 2017-2019 Best Estimate
Abstract
The Atmospheric Radiation Measurement user facility (ARM) Southern Great Plains observatory (SGP) houses over 50 precipitation instruments, using approximately 10 different methods for measurement. Nine different types of sensors are deployed at the SGP Central Facility with duplicates of the video disdrometer, impact disdrometer, and laser disdrometer. These instruments are deployed relatively close to one another in the “Central Cluster” of the SGP Central Facility. This effort employed simple clustering techniques on these data to calculate a precipitation best estimate, which in turn was used to develop a weighting scheme for each instrument type across rain rates that can be reused in the future for different configurations of instrument deployments. Product should be considered as an evaluation 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:
- PNNL, BNL, ANL, ORNL
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Precipitation, ARM, DOE.
- OSTI Identifier:
- 1737636
- DOI:
- https://doi.org/10.5439/1737636
Citation Formats
Theisen, Adam, Kyrouac, Jenni, Jackson, Robert, Collis, Scott, Sherman, Zachary, Hemedinger, Jason, Wang, Die, and Bartholomew, Mary Jane. SGP Precipitation 2017-2019 Best Estimate. United States: N. p., 2017.
Web. doi:10.5439/1737636.
Theisen, Adam, Kyrouac, Jenni, Jackson, Robert, Collis, Scott, Sherman, Zachary, Hemedinger, Jason, Wang, Die, & Bartholomew, Mary Jane. SGP Precipitation 2017-2019 Best Estimate. United States. doi:https://doi.org/10.5439/1737636
Theisen, Adam, Kyrouac, Jenni, Jackson, Robert, Collis, Scott, Sherman, Zachary, Hemedinger, Jason, Wang, Die, and Bartholomew, Mary Jane. 2017.
"SGP Precipitation 2017-2019 Best Estimate". United States. doi:https://doi.org/10.5439/1737636. https://www.osti.gov/servlets/purl/1737636. Pub date:Sun Jan 01 04:00:00 UTC 2017
@article{osti_1737636,
title = {SGP Precipitation 2017-2019 Best Estimate},
author = {Theisen, Adam and Kyrouac, Jenni and Jackson, Robert and Collis, Scott and Sherman, Zachary and Hemedinger, Jason and Wang, Die and Bartholomew, Mary Jane},
abstractNote = {The Atmospheric Radiation Measurement user facility (ARM) Southern Great Plains observatory (SGP) houses over 50 precipitation instruments, using approximately 10 different methods for measurement. Nine different types of sensors are deployed at the SGP Central Facility with duplicates of the video disdrometer, impact disdrometer, and laser disdrometer. These instruments are deployed relatively close to one another in the “Central Cluster” of the SGP Central Facility. This effort employed simple clustering techniques on these data to calculate a precipitation best estimate, which in turn was used to develop a weighting scheme for each instrument type across rain rates that can be reused in the future for different configurations of instrument deployments. Product should be considered as an evaluation data set.},
doi = {10.5439/1737636},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 04:00:00 UTC 2017},
month = {Sun Jan 01 04:00:00 UTC 2017}
}