Utilizing Machine Learning and Multi-Station Observations to Investigate the Visibility of Sea Fog i...
Utilizing Machine Learning and Multi-Station Observations to Investigate the Visibility of Sea Fog in the Beibu Gulf
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
This study utilizes six years of hourly meteorological data from seven observation stations in the Beibu Gulf—Qinzhou (QZ), Fangcheng (FC), Beihai (BH), Fangchenggang (FCG), Dongxing (DX), Weizhou Island (WZ), and Hepu (HP)—over the period from 2016 to 2021. It examines the diurnal variations of sea fog occurrence and compares the performance of th...
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Full title
Utilizing Machine Learning and Multi-Station Observations to Investigate the Visibility of Sea Fog in the Beibu Gulf
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TN_cdi_doaj_primary_oai_doaj_org_article_623ab8d410de4a6a9b4b4b2d2adc62e2
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_623ab8d410de4a6a9b4b4b2d2adc62e2
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16183392
