A Multi-Factor Coupled Correction Algorithm for the Near-Surface Wind Profile Exponent
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Abstract:
This study is based on LiDAR wind profiler data and uses the Wind Profile Exponent (WPE) method to calculate the wind profile exponent within the 50–500 meter height range under different surface wind conditions. The results were validated using data from 50 meteorological stations, each with observation heights exceeding 40 meters. The findings indicate that the LiDAR wind profile exponent suffers from a systematic overestimation, with errors closely related to the building density and height characteristics of the observation area. To address this issue, the study innovatively introduces urban building parameters and proposes a multi-factor-driven dynamic correction algorithm for the wind profile exponent, overcoming the limitations of the traditional single roughness parameter approach. After correction, 91.7% of the wind speed calculation errors were controlled within a ±1 Beaufort scale range, with 50.1% showing zero error. Building upon this, a three-dimensional high-altitude wind field reconstruction model tailored for urban complex building environments was further developed. This model has a horizontal resolution of 100 meters and vertical coverage from 50 to 500 meters, enabling real-time monitoring every 5 minutes and forecast outputs up to 168 hours. The model provides a low-cost, high-precision wind disaster prevention and control technology pathway for urban high-altitude operations, offering significant business application potential and engineering value.