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Maritime Safety in the Digital Era as the Role of Weather Monitoring and Prediction Technology

Maritime Park: Journal of Maritime Technology and Society · Vol. ume (2024) · pp. 92–97

DOI
10.62012/mp.v3i2.35388
ISSN
2828-6669, 2828-7010
Published
2024-06-28
Publisher
Department of Ocean Engineering, Faculty of Engineering, Hasanuddin University
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

The maritime industry plays a vital role in global transportation and trade, but the inherent challenges posed by the marine environment can significantly threaten the safety and efficiency of maritime operations. In recent years, the rapid advancements in weather monitoring and prediction technologies have presented new opportunities to address these challenges and enhance maritime safety in the digital era. This study provides a comprehensive exploration of the role of weather monitoring and prediction technology in shaping the future of maritime safety. The research methodology encompasses a literature review, expert interviews, case studies, and quantitative analysis to investigate the latest advancements in meteorological observation systems, numerical weather prediction models, and the integration of digital technologies within the maritime sector. The findings reveal significant improvements in weather monitoring systems, leveraging remote sensing, in-situ measurement platforms, and comprehensive data networks to provide enhanced situational awareness. The study also highlights advancements in numerical weather prediction models tailored to the marine environment, enabling more accurate and reliable weather forecasts. The integration of digital technologies, such as data analytics and decision support tools, has further amplified the impact of weather monitoring and prediction capabilities in optimizing maritime operations and mitigating weather-related risks. However, the research also identifies key challenges, including regulatory barriers and the need for stakeholder engagement and capacity building, that must be addressed to ensure the successful and widespread adoption of weather monitoring and prediction technology within the maritime industry. Collaborative efforts among industry stakeholders, policymakers, and technology providers will be crucial in overcoming these obstacles and harnessing the transformative potential of these technologies to enhance the overall safety, efficiency, and resilience of the maritime sector.

Keywords

Collaboration network of the authors

6 authors · 11 co-authorship links

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Co-authorOrganisationJoint articles
Habibi PalippuiAffiliation unknown1
Alaudin AlaudinAffiliation unknown1
Burhanis BurhanisAffiliation unknown1
Iksan ZakiyaAffiliation unknown1
Roni Arif MunandarAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/maritimepark/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Maritime Safety in the Digital Era as the Role of Weather Monitoring and Prediction Technology</dc:title>
	<dc:creator xml:lang="en">Kadhafi, Muammar</dc:creator>
	<dc:subject xml:lang="en">Maritime safety, Weather monitoring, Weather prediction, Digital technology, Regulatory framework, Stakeholder engagement</dc:subject>
	<dc:description xml:lang="en">The maritime industry plays a vital role in global transportation and trade, but the inherent challenges posed by the marine environment can significantly threaten the safety and efficiency of maritime operations. In recent years, the rapid advancements in weather monitoring and prediction technologies have presented new opportunities to address these challenges and enhance maritime safety in the digital era. This study provides a comprehensive exploration of the role of weather monitoring and prediction technology in shaping the future of maritime safety. The research methodology encompasses a literature review, expert interviews, case studies, and quantitative analysis to investigate the latest advancements in meteorological observation systems, numerical weather prediction models, and the integration of digital technologies within the maritime sector. The findings reveal significant improvements in weather monitoring systems, leveraging remote sensing, in-situ measurement platforms, and comprehensive data networks to provide enhanced situational awareness. The study also highlights advancements in numerical weather prediction models tailored to the marine environment, enabling more accurate and reliable weather forecasts. The integration of digital technologies, such as data analytics and decision support tools, has further amplified the impact of weather monitoring and prediction capabilities in optimizing maritime operations and mitigating weather-related risks. However, the research also identifies key challenges, including regulatory barriers and the need for stakeholder engagement and capacity building, that must be addressed to ensure the successful and widespread adoption of weather monitoring and prediction technology within the maritime industry. Collaborative efforts among industry stakeholders, policymakers, and technology providers will be crucial in overcoming these obstacles and harnessing the transformative potential of these technologies to enhance the overall safety, efficiency, and resilience of the maritime sector.</dc:description>
	<dc:publisher xml:lang="en">Department of Ocean Engineering, Faculty of Engineering, Hasanuddin University</dc:publisher>
	<dc:date>2024-06-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/maritimepark/article/view/35388</dc:identifier>
	<dc:identifier>10.62012/mp.v3i2.35388</dc:identifier>
	<dc:source xml:lang="en">Maritime Park: Journal of Maritime Technology and Society; Volume 3, Issue 2, 2024; 92-97</dc:source>
	<dc:source>2828-6669</dc:source>
	<dc:source>2828-7010</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/maritimepark/article/view/35388/11703</dc:relation>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
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