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Universal Wind Profile for Conventionally Neutral Atmospheric Boundary Layers
Luoqin Liu1, Srinidhi N Gadde1, Richard J A M Stevens1
1Physics of Fluids Group, Max Planck Center Twente for Complex Fluid Dynamics, University of Twente, 7500 AE Enschede, Netherlands.
This study presents a new analytic model for predicting wind speed profiles in conventionally neutral atmospheric boundary layers (CNBLs). The model accurately forecasts wind speeds, crucial for weather and climate applications.
Area of Science:
- Atmospheric Science
- Meteorology
- Fluid Dynamics
Background:
- Conventionally neutral atmospheric boundary layers (CNBLs) are common atmospheric phenomena.
- Accurate prediction of wind speed profiles in CNBLs is vital for weather forecasting, climate modeling, and wind energy.
- Previous models have struggled with the complex interactions of buoyancy, shear, and Coriolis effects in CNBLs.
Purpose of the Study:
- To develop an analytic expression for predicting wind speed profiles in CNBLs.
- To improve the accuracy of wind speed predictions in these common atmospheric conditions.
Main Methods:
- Utilized Monin-Obukhov similarity theory and a local scaling hypothesis.
- Derived an analytic expression for the stability correction function.
- Employed dimensional analysis and a perturbation method to derive an analytic flux expression.
Main Results:
- Developed a novel analytic expression for the stability correction function in CNBLs.
- Derived an analytic expression for the potential temperature flux.
- The derived wind speed profile shows excellent agreement with large eddy simulations.
Conclusions:
- The new analytic model provides accurate predictions for wind speed profiles in CNBLs.
- This advancement has significant implications for weather forecasting, climate modeling, and wind energy assessments.
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