Symposium on Advances in Ocean Observation
Symposium on Advances in Ocean Observation
复制标题
海洋观测进展研讨会
DOI：
10.1002/lob.10536
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发表时间：
2023
影响因子：
--
通讯作者：
Subramaniam, Ajit
中科院分区：
文献类型：
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作者：
Rajan, Kanna;Alvera‐Azcárate, Aida;Eidsvik, Jo;Subramaniam, Ajit
过去 40 年来，两次技术革命改变了我们对海洋的认识。第一个是在 20 世纪 80 年代和 90 年代，基于卫星的遥感技术的出现，提供了以前难以想象的时空尺度的全球海洋表面视图。第二次是在 2000 年代和 2010 年代，基因组方法的发展提供了有关海洋生命形式的新知识，从最小的病毒到最大的鲸鱼，覆盖了从表面到海底的栖息地。尽管取得了这些进步，但海洋采样仍然严重不足，海洋学家尚未充分利用最新快速的技术进步，包括微流体、紧凑型传感器和自主机器人平台的出现。此外，计算机科学、数学、统计学、软件工程、机器学习 (ML) 和人工智能 (AI) 领域的最新进展在数据和模式分析方面显示出了前景，并对嵌入式机器智能产生了影响。然而，机器学习/人工智能对海洋科学中的数据收集和分析和/或做出明智决策产生了外围影响。同样，与使用此类技术相关的不同科学和技术界（包括传感器技术、工程以及物理和生化海洋学）尚未就如何在海洋观测背景下利用此类进步进行有意义的深入对话，以此推动在海洋存在的广阔空间和时间尺度上进行观测。
Two technological revolutions have transformed our understanding of the oceans over the last 40 years. The first, in the 1980s and 1990s, was the advent of satellite based remote sensing that provided views of the global ocean surface at spatial and temporal scales previously unimaginable. The second, in the 2000s and 2010s, was the development in genomic methods that provided new knowledge about oceanic life forms from the smallest viruses to the largest whales covering habitats from the surface to the seafloor. Despite these advances, the oceans remain woefully under sampled and oceanographers have yet to fully leverage recent and rapid advances in technology, inclusive of the advent of microfluidics, compact sensors, and autonomous robotic platforms. In addition, more recent advances in Computer Science, Mathematics, Statistics, Software Engineering, Machine Learning (ML), and Artificial Intelligence (AI) have shown promise in data and pattern analysis and made an impact in embedded machine intelligence. Yet ML/AI have had a peripheral impact for gathering and analyzing data and/or making informed decisions in the ocean sciences. Equally, the diverse science and technology communities associated with the use of such techniques—which include sensors technology, engineering, and physical and bio-chemical oceanography—have not yet had meaningful in-depth dialogs on how to leverage such advances in the context of ocean observations, as a way to move the needle forward to make observations at the vast spatial and temporal scales the oceans present.