Title
Wind-Ramp-Forecast Sensitivity to Closure Parameters in a Boundary-Layer Parametrization Scheme
Campus Units
Geological and Atmospheric Sciences
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
4-22-2017
Journal or Book Title
Boundary-Layer Meteorology
Volume
164
First Page
475
Last Page
490
DOI
10.1007/s10546-017-0250-5
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.
Copyright Owner
Springer Science Business Media Dordrecht
Copyright Date
2017
Language
en
File Format
application/pdf
Recommended Citation
Jahn, David E.; Takle, Eugene S.; and Gallus, William A. Jr., "Wind-Ramp-Forecast Sensitivity to Closure Parameters in a Boundary-Layer Parametrization Scheme" (2017). Geological and Atmospheric Sciences Publications. 334.
https://lib.dr.iastate.edu/ge_at_pubs/334
Comments
This is a post-peer-review, pre-copyedit version of an article published in Boundary-Layer Meteorology. The final authenticated version is available online at DOI: 10.1007/s10546-017-0250-5. Posted with permission.