全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Analysis of Meteorological Conditions for a Sea Fog Process in 2016

DOI: 10.4236/acs.2021.113024, PP. 419-425

Keywords: Qingdao Offshore, Heavy Fog, WRF, Satellite Remote Sensing, Dual-Channel

Full-Text   Cite this paper   Add to My Lib

Abstract:

The visibility characteristics and meteorological conditions of a sea fog process on 27th February, 2016 are analyzed and the heavy fog process is simulated by the Weather Research and Forecasting (WRF) model in this paper. The forecast results show that the visibility in Qingdao coastal area is light fog on the night of the 26th. In the WRF simulation, it can be observed from the sea-level pressure that the wind direction of Qingdao and the coastal area turned southerly with the eastward movement of the low pressure system on surface from 1200 UTC to 1800 UTC on the 26th. A large amount of water vapor brought by easterly and southerly wind provides sufficient water vapor conditions for the formation and development of the sea fog. At 975 hPa, there is a strong warm tongue over Shandong Peninsula at 0600 UTC on the 26th, while the offshore is affected by the cold tongue, where the horizontal temperature gradient is large and there is a strong baroclinicity. At 850 hPa, there is a weak warm ridge over Qingdao at 1200 UTC on the 26th, which means that it is an inversion layer, which is conducive to the maintenance of fog.

References

[1]  Gao, S.H., Wu, W., Zhu, L., et al. (2009) Detection of Nighttime Sea Fog/Stratus over the Huanghai Sea Using MTSAT-1Rdata. Acta Oceanol Sincia, 28, 23-35.
[2]  Hunt, G.E. (1973) Radiative Properties of Terrestrial Clouds at Visible and Infra-Red Thermal Window Wavelengths. Quarterly Journal of the Royal Meteorological Society, 99, 346-369.
https://doi.org/10.1002/qj.49709942013
[3]  Eyre, J.R., Brownscombe, J.L. and Allam, R.J. (1984) Detection of Fog at Night Using Advanced Very High Resolution Radiometer (AVHRR) Imagery. Meteorology Magazine, 113, 266-271.
[4]  Turner, J., Allama, R.J. and Maine, D.R. (1986) A Case Study of the Detection of Fog at Night Using Channels 3 and 4 on the Advanced Very High Resolution Radiometer (AVHRR). Meteorology Magazine, 115, 285-297.
[5]  Bendix, J. (2002) A Satellite-Based Climatology of Fog and Low-Level Stratus in Germany and Adjacent Areas. Atmosphere Research, 64, 3-18.
https://doi.org/10.1016/S0169-8095(02)00075-3
[6]  Reudenbach, C.H. and Bendix, J. (1998) Experiments with a Straightforward Model for the Spatial Forecast of Fog/Low Stratus Clearance Based on Multi-Source Data. Meteorological Applications, 5, 205-216.
https://doi.org/10.1017/S1350482798000814
[7]  Zhang, S.P. and Yi, L. (2013) A Comprehensive Dynamic Threshold Algorithm for Daytime Sea Fog Retrieval over the Chinese Adjacent Seas. Pure and Applied Geophysics, 170, 1931-1944.
https://doi.org/10.1007/s00024-013-0641-6
[8]  Yi, L., Zhang, S.P., Thies, B., Shi, X.M., Trachte, K. and Bendix, J. (2015) Spatio-Temporal Detection of Fog and Low Stratus Top Heights over the Yellow Sea with Geostationary Satellite Data as a Precondition for Ground Fog Detection: A feasibility Study. Atmospheric Research, 151, 212-223.
https://doi.org/10.1016/j.atmosres.2014.03.020
[9]  Yi, L., Thies, B., Zhang, S.P., Shi, X.M. and Bendix, J. (2016) Optical Thickness and Effective Radius Retrievals of Low Stratus and Fog from MTSAT Daytime Data as a Prerequisite for Yellow Sea fog Detection. Remote Sensing, 8, 8.
https://doi.org/10.3390/rs8010008

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133