Research on the application of power law wind profile reconstruction by variable value method in coastal wind correction

Accurate fitting of the coastal wind profile is of great significance to the objective forecasting of winds, fusion of multi-source wind speed observation data, and wind energy assessment. Based on the observation data from 32 coastal wind towers, the variation of the power law exponent was analyzed and the impact of different power law exponent quantification methods on vertical wind speed extrapolation was assessed. The results show that the coastal power law exponent varies with observation height, season, and time of day, and the variation trend has spatial differences. Further comparative analysis reveals that the power law exponent shows a consistent exponential decay with increasing wind speed. Compared with the fixed value quantification method based on least squares, using the power law exponent that is optimally fitted by an exponential function and fluctuates with wind speed for vertical wind speed extrapolation is meaningful, it can reduce the root mean square error of the extrapolation results by up to about 49%. However, due to the negligible impact of the factors besides wind speed, the fitting accuracy of the power law exponent by wind speed and the application effect of it to fit the coastal wind profile is unstable, further research is needed to evaluate the possibility of cutting-edge technologies such as machine learning in the vertical fitting of wind fields.