Paper
30 August 2023 Identification of sea fog in Qingdao caused by Jianghuai cyclones based on remote sensing and observation data
Yan Hao, Xiaomeng Shi, Rongzhen Gao
Author Affiliations +
Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127972X (2023) https://doi.org/10.1117/12.3007363
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China
Abstract
This article utilizes MICAPS observation data and Qingdao coastal automatic station and island station observation data, uses the dual channel difference method (DCD) based on the data of Japan's MTSAT geostationary meteorological satellite, and uses the method of identifying and path tracking of the Jianghuai cyclones, to extract the sea fog events in Qingdao that caused by Jianghuai cyclones. Using this identification method, a study is conducted to the relationship between the Jianghuai cyclones and the development of sea fog events in Qingdao from March to July 2011to 2018. It is found that 24% of the Jianghuai cyclones cause heavy fog events in Qingdao due to the warm and humid air flow in front of the cyclones. 56.2% originate in the east of 116°E, and the location of entering the sea is concentrated in 30°N~34°N. When there is a deep and wide westerly trough and a strong high-pressure ridge from the Korean Peninsula to the sea of Japan, the Jianghuai cyclone moves northeastward, the southeast air flow in front of the cyclone continues, accompanied by a strong warm advection in the lower layer, if the relative humidity, temperature inversion, vertical upward velocity, air sea temperature difference and sea water temperature gradient in the offshore of Qingdao reach the prediction indicators, then sea fog event appears in Qingdao.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yan Hao, Xiaomeng Shi, and Rongzhen Gao "Identification of sea fog in Qingdao caused by Jianghuai cyclones based on remote sensing and observation data", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127972X (30 August 2023); https://doi.org/10.1117/12.3007363
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KEYWORDS
Meteorology

Satellites

Relative humidity

Infrared radiation

Meteorological satellites

Infrared imaging

Remote sensing

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