干旱区生态环境知识资源中心(Arid): Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data

Arid

DOI	10.1016/j.buildenv.2024.111726
	Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data
	Mahmoudi, Leila; Wang, Wei; Ikegaya, Naoki
通讯作者	Mahmoudi, L
来源期刊	BUILDING AND ENVIRONMENT
ISSN	0360-1323
EISSN	1873-684X
出版年	2024
卷号	261
英文摘要	Iran has been experiencing severe dust storms due to strong wind speeds that cause sand erosion. This erosion is particularly pronounced in the semi -arid and arid zones. Wind speed predictions using numerical weather forecasting (NWF) are indispensable; however, the applicability of NWF for predicting extreme annual wind speeds is not well known. To validate the NWF model, this study compared NWF-model-predicted 3 -hour averaged wind speeds over one year and those observed at 390 weather stations. In addition, a statistical model was employed to estimate the probability densities of wind speeds for both the observational data and the NWF output. As an NWF model, the mesoscale Weather Research and Forecasting (WRF) model was utilized to simulate wind speeds. The results indicate that the observation data are consistent with the modeled datasets regarding the relationships among the mean, standard deviation, and skewness, whereas the WRF model tends to overestimate the mean wind speeds. In addition, the predictability of annual extreme wind speeds was determined using the peak factor. Moreover, skewness has emerged as an influential parameter for predicting extreme winds. Finally, the Gram-Charlier series model was utilized to estimate probability density functions of the wind speeds, demonstrating its effectiveness in capturing positively skewed distributions. The present analyses broaden the use of both NWF outputs and statistical methods to predict extreme wind speeds in Iran.
英文关键词	Probability density function Statistics Gram-Charlier series Meteorological observation Extreme winds Numerical weather prediction
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001252327100001
WOS关键词	BOUNDARY-LAYER ; WRF MODEL ; RESOURCE ; IMPLEMENTATION ; LOCATIONS ; EAST
WOS类目	Construction & Building Technology ; Engineering, Environmental ; Engineering, Civil
WOS研究方向	Construction & Building Technology ; Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403083
推荐引用方式 GB/T 7714	Mahmoudi, Leila,Wang, Wei,Ikegaya, Naoki. Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data[J],2024,261.
APA	Mahmoudi, Leila,Wang, Wei,&Ikegaya, Naoki.(2024).Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data.BUILDING AND ENVIRONMENT,261.
MLA	Mahmoudi, Leila,et al."Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data".BUILDING AND ENVIRONMENT 261(2024).