Comprehensive 25-year analysis of dense fog at Urumqi Diwopu International Airport (a major airport in western China) is performed using hourly weather data from January 1985 through December 2009 in an effort to better understand the climatological aspects of the phenomenon. The results show that dense fog is typically a cold-season phenomenon with more than 99 % of dense fog days occur from November through March. Within a day, dense fog peaks during the early morning hours and reaches a minimum in the late afternoon to early night. Most of dense fog events (68.2 %) lasted less than 3 h. Temperatures cooling to the range of -10 to -5 A degrees C, and wind speeds of under 2 m s(-1) are optimum for dense fog occurrences. Dense fog occurrences as brief as a couple of hours can disrupt air traffic locally even nationwide and affect flight on-time performance significantly, causing huge losses to both commercial airlines and passengers. There is a critical need for improving air traffic flow management. More importantly, aviation forecasters of airport should provide more timely and accurate information relating to dense fog to accommodate demands of different specific end users. However, the current situation is far from satisfactory. From a practical standpoint, some implications for dense fog forecasting are presented with the hope of improving the forecast of this phenomenon at the site.
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Climatological aspects of dense fog at Urumqi Diwopu International Airport and its impacts on flight on-time performance
作者:Huang, HB (Huang, Haibo)[ 1 ] ; Chen, CY (Chen, Chunyan)[ 2 ]
NATURAL HAZARDS
卷: 81
期: 2
页: 1091-1106
DOI: 10.1007/s11069-015-2121-z
出版年: MAR 2016
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摘要
Comprehensive 25-year analysis of dense fog at Urumqi Diwopu International Airport (a major airport in western China) is performed using hourly weather data from January 1985 through December 2009 in an effort to better understand the climatological aspects of the phenomenon. The results show that dense fog is typically a cold-season phenomenon with more than 99 % of dense fog days occur from November through March. Within a day, dense fog peaks during the early morning hours and reaches a minimum in the late afternoon to early night. Most of dense fog events (68.2 %) lasted less than 3 h. Temperatures cooling to the range of -10 to -5 A degrees C, and wind speeds of under 2 m s(-1) are optimum for dense fog occurrences. Dense fog occurrences as brief as a couple of hours can disrupt air traffic locally even nationwide and affect flight on-time performance significantly, causing huge losses to both commercial airlines and passengers. There is a critical need for improving air traffic flow management. More importantly, aviation forecasters of airport should provide more timely and accurate information relating to dense fog to accommodate demands of different specific end users. However, the current situation is far from satisfactory. From a practical standpoint, some implications for dense fog forecasting are presented with the hope of improving the forecast of this phenomenon at the site.
关键词
作者关键词ense fog; Climatological aspects; Impact; Flight on-time performance
KeyWords Plus:RADIATION FOG; UNITED-STATES; PREDICTION; SYSTEM
作者信息
通讯作者地址: Chen, CY (通讯作者)
Xinjiang Meteorol Observ, Urumqi 830002, Xinjiang, Peoples R China.
地址:
[ 1 ] Xinjiang Air Traff Management Bur, Meteorol Ctr, Urumqi 830016, Xinjiang, Peoples R China
[ 2 ] Xinjiang Meteorol Observ, Urumqi 830002, Xinjiang, Peoples R China
电子邮件地址:hhb-0820@163.com; chency357@sohu.com
基金资助致谢
基金资助机构
授权号
Public Welfare Special Fund Program (Meteorology) of the Chinese Ministry of Finance
GYHY201106007
Science and Technology Support Program of Xinjiang Uyghur Autonomous Region
201533113
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出版商
SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA
类别 / 分类
研究方向:Geology; Meteorology & Atmospheric Sciences; Water Resources
Web of Science 类别:Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences; Water Resources
文献信息
文献类型:Article
语种:English
入藏号: WOS:000370068700020
ISSN: 0921-030X
eISSN: 1573-0840
期刊信息
Impact Factor (影响因子): Journal Citation Reports®
其他信息
IDS 号: DD6XT
Web of Science 核心合集中的 "引用的参考文献": 41
Web of Science 核心合集中的 "被引频次": 0
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,气象台的SCI,不错