Mid-Atlantic Turbulence Intensity Data in Observational Space

Tai, Sheng-Lun; Berg, Larry

doi:10.21947/2280861

Title: Mid-Atlantic Turbulence Intensity Data in Observational Space

Dataset
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Abstract

The dataset archives observed and model-simulated turbulence intensity and meteorological profiles and timeseries at the Air-Sea Interaction Tower (ASIT) of Woods Hole Oceanographic Institution’s Martha’s Vineyard Coastal Observatory (MVCO). The observational data were measured by lidar and buoy deployed at ASIT. The simulated profiles and timeseries data are interpolated in time and/or space according to observations. Simulations were carried out for the mid-Atlantic 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 at the Shell Exploration and Production Corporation's Tension Leg Platforms Ursa and Mars 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.

Authors:

Tai, Sheng-Lun; Berg, Larry

Pacific Northwest National Laboratory (PNNL); Pacific Northwest National Laboratory
Pacific Northwest National Laboratory (PNNL)

Publication Date:: Tue Jan 16 23:00:00 EST 2024

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:: 2280861

DOI:: https://doi.org/10.21947/2280861

Citation Formats


                    Tai, Sheng-Lun, and Berg, Larry. Mid-Atlantic Turbulence Intensity Data in Observational Space.  United States: N. p., 2024. 
        Web.  doi:10.21947/2280861.

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                    Tai, Sheng-Lun, & Berg, Larry. Mid-Atlantic Turbulence Intensity Data in Observational Space.  United States.  doi:https://doi.org/10.21947/2280861

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                    Tai, Sheng-Lun, and Berg, Larry. 2024.  
"Mid-Atlantic Turbulence Intensity Data in Observational Space".  United States.  doi:https://doi.org/10.21947/2280861.  https://www.osti.gov/servlets/purl/2280861. Pub date:Tue Jan 16 23:00:00 EST 2024

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@article{osti_2280861,

  title        = {Mid-Atlantic Turbulence Intensity Data in Observational Space},

  author       = {Tai, Sheng-Lun and Berg, Larry},

  abstractNote = {The dataset archives observed and model-simulated turbulence intensity and meteorological profiles and timeseries at the Air-Sea Interaction Tower (ASIT) of Woods Hole Oceanographic Institution’s Martha’s Vineyard Coastal Observatory (MVCO). The observational data were measured by lidar and buoy deployed at ASIT. The simulated profiles and timeseries data are interpolated in time and/or space according to observations. Simulations were carried out for the mid-Atlantic 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 at the Shell Exploration and Production Corporation's Tension Leg Platforms Ursa and Mars 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.},

  doi          = {10.21947/2280861},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jan 16 23:00:00 EST 2024},

  month        = {Tue Jan 16 23:00:00 EST 2024}

}

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DOI: https://doi.org/10.21947/2280861

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