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Fog climatology at Shanghai Pudong International Airport

Authors :
Ran Hao
Rui Lyu
Xue Hao
Jun Yi
Weijie Wang
Tiantao Cheng
Bo Xu
Source :
Meteorological Applications, Vol 31, Iss 2, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract Using 22‐year ground observations on meteorological variables, we conducted a statistical analysis to reveal fog characteristics at Shanghai Pudong International Airport (SPIA). Fog events were classified by fog types using an objective method. Two types of advection fogs are dominant in fog events at SPIA, followed by radiation fogs. Different fogs have evident annual and monthly variations in frequency. Advection fog mostly appear from February to April, while radiation fog is mainly between November and February. Six synoptic patterns associated with fogs were determine by a self‐organizing maps cluster method, two of which, namely ‘west of marine high pressure’ and ‘inverted trough’, are most favourable for the formation of advection fogs, whereas ‘bottom of weak cold high‐pressure’ is favourable for radiation fogs. The frequency of advection fog occurrence exhibits temporal fluctuations with distinct peaks occurring 2–3 h after sunset, around midnight, and 1–2 h before sunrise, while almost all radiation fog occur in the second half of the night, and favourable conditions for fog onset become more effective with the length of the night. Radiation fog exhibits a longer duration than advection fog and tends to result in lower visibility. The prevalent wind direction for the formation of advection fog is generally from the east to the southeast, whereas radiation fog is typically associated with westerly winds. The temperature and air pressure during the formation of both advection and radiation fogs follow a normal distribution in most seasons. More fog characteristics were categorized by fog types and seasons.

Details

Language :
English
ISSN :
14698080 and 13504827
Volume :
31
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Meteorological Applications
Publication Type :
Academic Journal
Accession number :
edsdoj.9c787e7373464459bd96fe4aac08486a
Document Type :
article
Full Text :
https://doi.org/10.1002/met.2191