U.S. Department of EnergyOffice of Scientific and Technical Information
Northern Pacific Turbulence Intensity Model Data
Abstract
The dataset is a subset of simulations carried out for the northern Pacific region using the revised Weather Research and Forecasting (WRF) model version 4.2 that incorporates the implementation of online turbulence intensity (TI) calculations (Tai et al. 2023). The simulated atmospheric profiles near the lidar buoys deployed off the coast of California (Humbolt and Morro Bay) are archived. Physics parameterizations chosen for the simulations include the Thompson microphysics parameterization, Mellor-Yamada-Nakanishi Niino (MYNN) boundary layer parameterization, Mellor-Yamada-Janjic surface layer parameterization, Unified Noah land-surface parameterization, and the RRTMG longwave and shortwave radiation parameterization. Initial and boundary conditions are taken from NOAA’s High-Resolution Rapid Refresh (HRRR) product. The JPL 0.01-degree Level 4 Multiscale Ultrahigh Resolution (MUR) Global Foundation Sea Surface Temperature (SST) Analysis (V4.1) data are used as the model’s SST forcing. Simulations are performed from November to December in 2020 and May through June in 2021. Model outputs every 10 minutes, permitting comparison with corresponding lidar observations.
- Authors:
-
- Pacific Northwest National Laboratory (PNNL); Pacific Northwest National Laboratory
- Pacific Northwest National Laboratory (PNNL)
- Publication Date:
- Research Org.:
- Atmosphere to Electrons (A2e) Data Archive and Portal, Pacific Northwest National Laboratory; PNNL
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- Subject:
- 17 WIND ENERGY
- OSTI Identifier:
- 2280862
- DOI:
- https://doi.org/10.21947/2280862
Citation Formats
Tai, Sheng-Lun, and Berg, Larry. Northern Pacific Turbulence Intensity Model Data. United States: N. p., 2024.
Web. doi:10.21947/2280862.
Tai, Sheng-Lun, & Berg, Larry. Northern Pacific Turbulence Intensity Model Data. United States. doi:https://doi.org/10.21947/2280862
Tai, Sheng-Lun, and Berg, Larry. 2024.
"Northern Pacific Turbulence Intensity Model Data". United States. doi:https://doi.org/10.21947/2280862. https://www.osti.gov/servlets/purl/2280862. Pub date:Tue Jan 16 23:00:00 EST 2024
@article{osti_2280862,
title = {Northern Pacific Turbulence Intensity Model Data},
author = {Tai, Sheng-Lun and Berg, Larry},
abstractNote = {The dataset is a subset of simulations carried out for the northern Pacific region using the revised Weather Research and Forecasting (WRF) model version 4.2 that incorporates the implementation of online turbulence intensity (TI) calculations (Tai et al. 2023). The simulated atmospheric profiles near the lidar buoys deployed off the coast of California (Humbolt and Morro Bay) are archived. Physics parameterizations chosen for the simulations include the Thompson microphysics parameterization, Mellor-Yamada-Nakanishi Niino (MYNN) boundary layer parameterization, Mellor-Yamada-Janjic surface layer parameterization, Unified Noah land-surface parameterization, and the RRTMG longwave and shortwave radiation parameterization. Initial and boundary conditions are taken from NOAA’s High-Resolution Rapid Refresh (HRRR) product. The JPL 0.01-degree Level 4 Multiscale Ultrahigh Resolution (MUR) Global Foundation Sea Surface Temperature (SST) Analysis (V4.1) data are used as the model’s SST forcing. Simulations are performed from November to December in 2020 and May through June in 2021. Model outputs every 10 minutes, permitting comparison with corresponding lidar observations.},
doi = {10.21947/2280862},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jan 16 23:00:00 EST 2024},
month = {Tue Jan 16 23:00:00 EST 2024}
}