Parametric and Structural Sensitivities of Turbine‐Height Wind Speeds in the Boundary Layer Parameterizations in the Weather Research and Forecasting Model

Yang, Ben; Berg, Larry K.; Qian, Yun; Wang, Chen; Hou, Zhangshuan; Liu, Ying; Shin, Hyeyum Hailey; Hong, Song‐You; Pekour, Mikhail

doi:10.1029/2018jd029691

Cited by 25 publications

(20 citation statements)

References 69 publications

(125 reference statements)

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“…Previous studies (Berg et al, 2019;Yang, Berg, et al, 2019;Yang, Qian, et al, 2017) focused on the sensitivity of simulated turbine-height wind speed to parameter values used in the standard MYNN parameterization.…”

Section: Comparison Of Ppe Simulations With Previous Studiesmentioning

confidence: 99%

Time Evolution and Diurnal Variability of the Parametric Sensitivity of Turbine‐Height Winds in the MYNN‐EDMF Parameterization

et al. 2021

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The Mellor‐Yamada‐Nakanishi‐Niino (MYNN) parameterization applied in the Weather Research and Forecasting (WRF) model has been augmented to include the Eddy‐Diffusion Mass‐Flux (EDMF) approach to better represent transport by boundary‐layer eddies. This change includes the addition of new parameters associated with convective updrafts and boundary‐layer clouds that lead to new parametric sensitivities in the turbine‐height wind speed compared to simulations using the standard MYNN parameterization. This work builds on efforts focused on WRF's MYNN parameterization by examining the sensitivity of wind speed to parameters in the MYNN‐EDMF parameterization as a function of simulation duration. Summer and winter periods were selected from the second Wind Forecast Improvement Project (WFIP2). Five sets of simulations were completed for each season, with durations ranging from 2 to 6 days. The results show that the sensitivity to the new parameters associated with the EDMF scheme is generally small compared to other parameters in clear conditions, but the sensitivity to the entrainment becomes significant when the updraft fraction is large. The spread in the perturbed parameter ensembles was found to grow quickly over the first 8–19 h in the summer simulations and 17–24 h in the winter simulations with little change after that, regardless of the simulation length. A strong diurnal cycle in the parameter sensitivity was also found associated with the atmospheric stability, as well as an increase in the sensitivity to the entrainment parameter used in the EDMF parameterization that is associated with increasing fractional area covered by plumes.

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Section: Comparison Of Ppe Simulations With Previous Studiesmentioning

confidence: 99%

Time Evolution and Diurnal Variability of the Parametric Sensitivity of Turbine‐Height Winds in the MYNN‐EDMF Parameterization

et al. 2021

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“…These three variables can help achieve this by setting to the lowest bounds. This suggests that getting both the TOA balance and reasonable model performance is a relatively complex and difficult problem due to model structure problems, as pointed out by Qian et al (2018) and Yang et al (2019). Meanwhile, finding out how to pick parameters with a similar sensitivity to both longwave and shortwave radiation flux might be a potential approach to overcome the bound limit and it warrants further studies.…”

Section: Interpretation Of the Resultsmentioning

confidence: 99%

An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3)

Zhang

Qin

et al. 2020

Geosci. Model Dev.

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Abstract. Uncertain parameters in physical parameterizations of general circulation models (GCMs) greatly impact model performance. In recent years, automatic parameter optimization has been introduced for tuning model performance of GCMs, but most of the optimization methods are unconstrained optimization methods under a given performance indicator. Therefore, the calibrated model may break through essential constraints that models have to keep, such as the radiation balance at the top of the model. The radiation balance is known for its importance in the conservation of model energy. In this study, an automated and efficient parameter optimization with the radiation balance constraint is presented and applied in the Community Atmospheric Model (CAM5) in terms of a synthesized performance metric using normalized mean square error of radiation, precipitation, relative humidity, and temperature. The tuned parameters are from the parameterization schemes of convection and cloud. The radiation constraint is defined as the absolute difference of the net longwave flux at the top of the model (FLNT) and the net solar flux at the top of the model (FSNT) of less than 1 W m−2. Results show that the synthesized performance under the optimal parameters is 6.3 % better than the control run (CNTL) and the radiation imbalance is as low as 0.1 W m−2. The proposed method provides an insight for physics-guided optimization, and it can be easily applied to optimization problems with other prerequisite constraints in GCMs.

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“…(34). Nielsen-Gammon et al 2010;Yang et al 2019). The improved scheme is referred to as the new scheme to differentiate from the original BouLac scheme.…”

Section: Evaluation and Discussionmentioning

confidence: 99%

Improved Length Scales for Turbulence Kinetic Energy–Based Planetary Boundary Layer Scheme for the Convective Atmospheric Boundary Layer

Zhou

Zhu

2020

Journal of the Atmospheric Sciences

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Abstract Based on a priori analysis of large-eddy simulations (LESs) of the convective atmospheric boundary layer, improved turbulent mixing and dissipation length scales are proposed for a turbulence kinetic energy (TKE)-based planetary boundary layer (PBL) scheme. The turbulent mixing length incorporates surface similarity and TKE constraints in the surface layer, and makes adjustments for lateral entrainment effects in the mixed layer. The dissipation length is constructed based on balanced TKE budgets accounting for shear, buoyancy, and turbulent mixing. A nongradient term is added to the TKE flux to correct for nonlocal turbulent mixing of TKE. The improved length scales are implemented into a PBL scheme, and are tested with idealized single-column convective boundary layer (CBL) cases. Results exhibit robust applicability across a broad CBL stability range, and are in good agreement with LES benchmark simulations. It is then implemented into a community atmospheric model and further evaluated with 3D real-case simulations. Results of the new scheme are of comparable quality to three other well-established PBL schemes. Comparisons between simulated and radiosonde-observed profiles show favorable performance of the new scheme on a clear day.

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Parametric and Structural Sensitivities of Turbine‐Height Wind Speeds in the Boundary Layer Parameterizations in the Weather Research and Forecasting Model

Cited by 25 publications

References 69 publications

Time Evolution and Diurnal Variability of the Parametric Sensitivity of Turbine‐Height Winds in the MYNN‐EDMF Parameterization

Time Evolution and Diurnal Variability of the Parametric Sensitivity of Turbine‐Height Winds in the MYNN‐EDMF Parameterization

An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3)

Improved Length Scales for Turbulence Kinetic Energy–Based Planetary Boundary Layer Scheme for the Convective Atmospheric Boundary Layer

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