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Wind-Ramp-Forecast Sensitivity to Closure Parameters in a Boundary-Layer Parametrization Scheme
- Source :
- Boundary-Layer Meteorology. 164:475-490
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- Wind ramps are relatively large changes in wind speed over a period of a few hours and present a challenge for electric utilities to balance power generation and load. Failures of boundary-layer parametrization schemes to represent physical processes limit the ability of numerical models to forecast wind ramps, especially in a stable boundary layer. Herein, the eight “closure parameters” of a widely used boundary-layer parameterization scheme are subject to sensitivity tests for a set of wind-ramp cases. A marked sensitivity of forecast wind speed to closure-parameter values is observed primarily for three parameters that influence in the closure equations the depth of turbulent mixing, dissipation, and the transfer of kinetic energy from the mean to the turbulent flow. Reducing the value of these parameters independently by 25% or by 50% reduces the overall average in forecast wind-speed errors by at least 24% for the first two parameters and increases average forecast error by at least 63% for the third parameter. Doubling any of these three parameters increases average forecast error by at least 67%. Such forecast sensitivity to closure parameter values provides motivation to explore alternative values in the context of a stable boundary layer.
- Subjects :
- Atmospheric Science
010504 meteorology & atmospheric sciences
Meteorology
Turbulence
020209 energy
Context (language use)
02 engineering and technology
Mechanics
Dissipation
7. Clean energy
01 natural sciences
Wind speed
Boundary layer
Closure (computer programming)
0202 electrical engineering, electronic engineering, information engineering
Sensitivity (control systems)
Parametrization
Physics::Atmospheric and Oceanic Physics
0105 earth and related environmental sciences
Mathematics
Subjects
Details
- ISSN :
- 15731472 and 00068314
- Volume :
- 164
- Database :
- OpenAIRE
- Journal :
- Boundary-Layer Meteorology
- Accession number :
- edsair.doi...........f5da84c2f483f4dcd195fca7ca9ca641