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Sensitivity of turbine-height wind speeds to parameters in planetary boundary-layer and surface-layer schemes in the weather research and forecasting model

Journal Article · · Boundary-Layer Meteorology
 [1];  [2];  [2];  [2];  [3];  [3];  [2];  [2];  [2]
  1. Nanjing Univ., Nanjing (China); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
+ Show Author Affiliations
We evaluate the sensitivity of simulated turbine-height wind speeds to 26 parameters within the Mellor–Yamada–Nakanishi–Niino (MYNN) planetary boundary-layer scheme and MM5 surface-layer scheme of the Weather Research and Forecasting model over an area of complex terrain. An efficient sampling algorithm and generalized linear model are used to explore the multiple-dimensional parameter space and quantify the parametric sensitivity of simulated turbine-height wind speeds. The results indicate that most of the variability in the ensemble simulations is due to parameters related to the dissipation of turbulent kinetic energy (TKE), Prandtl number, turbulent length scales, surface roughness, and the von Kármán constant. The parameter associated with the TKE dissipation rate is found to be most important, and a larger dissipation rate produces larger hub-height wind speeds. A larger Prandtl number results in smaller nighttime wind speeds. Increasing surface roughness reduces the frequencies of both extremely weak and strong airflows, implying a reduction in the variability of wind speed. All of the above parameters significantly affect the vertical profiles of wind speed and the magnitude of wind shear. Lastly, the relative contributions of individual parameters are found to be dependent on both the terrain slope and atmospheric stability.
Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1342994
Alternate ID(s):
OSTI ID: 1344643
Report Number(s):
LLNL-JRNL--675703
Journal Information:
Boundary-Layer Meteorology, Journal Name: Boundary-Layer Meteorology Journal Issue: 1 Vol. 162; ISSN 0006-8314
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

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Quantifying uncertainty from aerosol and atmospheric parameters and their impact on climate sensitivity journal January 2018
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17 WIND ENERGY
parametric sensitivity
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weather research and forecasting model