Incorporating zero-plane displacement in roughness length estimation and exposure correction factor calculation

IF 2.5 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Meteorological Applications Pub Date : 2025-01-30 DOI:10.1002/met.70028
Pingzhi Fang, Hui Yu, Mingwei Zhao, Wenbo Yu
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Abstract

Exposure correction is necessary for removing the distortion effects induced by nonstandard local exposure in raw near-ground wind speed datasets. The accurate calculation of the exposure correction factor ( ECF $$ \mathrm{ECF} $$ ) for wind speeds requires reliable input of the local aerodynamic roughness length ( z 0 $$ {z}_0 $$ ). In this study, we evaluate the performance of an ECF $$ \mathrm{ECF} $$ formula suggested by the World Meteorological Organization and the estimation of z 0 $$ {z}_0 $$ based on gustiness model. The estimation of z 0 $$ {z}_0 $$ will be more reasonable if local zero-plane displacement ( z d $$ {z}_d $$ ) is considered under rough terrain conditions. An empirical linear relationship z d = C 0 z 0 $$ {z}_d={C}_0{z}_0 $$ is introduced, and the ratio C 0 = 6 $$ {C}_0=6 $$ is recommended for meteorological stations under rough terrain conditions in China coastline. The incorporation of z d $$ {z}_d $$ into the ECF $$ \mathrm{ECF} $$ formula suggested by the World Meteorological Organization is further performed. Sensitivity analyses indicate that the z 0 $$ {z}_0 $$ estimates and ECF $$ \mathrm{ECF} $$ values are highly sensitive to factors such as mean wind duration, gust duration and anemometer height. Finally, we conducted case studies across 15 meteorological stations in China coastline, which revealed that our proposed method enhances the accuracy of both z 0 $$ {z}_0 $$ estimation and ECF $$ \mathrm{ECF} $$ calculation in comparison to the existing models.

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在粗糙度长度估计和曝光校正系数计算中引入零平面位移
在原始近地风速资料中,为了消除非标准局部暴露引起的失真效应,需要进行曝光校正。风速暴露校正因子(ECF $$ \mathrm{ECF} $$)的精确计算需要可靠的本地气动粗糙度长度(z0 $$ {z}_0 $$)输入。在本研究中,我们评估了世界气象组织建议的ECF $$ \mathrm{ECF} $$公式的性能和基于gusiness模型的z0 $$ {z}_0 $$估计。在崎岖地形下,考虑局部零平面位移(zd $$ {z}_d $$), z0 $$ {z}_0 $$的估计更为合理条件。引入了经验线性关系z d = c0 z0 $$ {z}_d={C}_0{z}_0 $$,建议在中国海岸线地形粗糙的气象站使用比值c0 = 6 $$ {C}_0=6 $$。进一步将z d $$ {z}_d $$纳入世界气象组织建议的ECF $$ \mathrm{ECF} $$公式。敏感性分析表明,z0 $$ {z}_0 $$估计值和ECF $$ \mathrm{ECF} $$值对平均风时、阵风时和风速计高度等因素高度敏感。最后,我们对中国海岸线上的15个气象站进行了案例研究,结果表明,与现有模型相比,我们提出的方法提高了z0 $$ {z}_0 $$估计和ECF $$ \mathrm{ECF} $$计算的精度。
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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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