AccelNet-Implementation: Implementing a Deep Ocean Observing Strategy (iDOOS)

AccelNet-Implementation：实施深海观测策略 (iDOOS)

• 批准号: 2114717
• 负责人: Patrick Heimbach
• 金额: $ 199.29万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114717&HistoricalAwards=false
• 关键词: AccelNet; Implementation; Implementing; Deep; Ocean

The deep ocean below 200 m is poorly known. This dynamic realm is a vast repository for biodiversity, provides critical climate regulation, and houses a wealth of hydrocarbon, mineral, and genetic resources. Observing the deep ocean at a level required to inform sustainable development and management faces significant technical and logistical challenges. To address these challenges, the iDOOS project will implement a Deep-Ocean Observing Strategy (DOOS) that brings together U.S. and international networks engaged in sustained deep-ocean observing, mapping, exploration, modeling, research, and management to leverage each other’s efforts, knowledge, and resources. This implementation project will boost the DOOS community-driven initiative, working under the umbrella of the Global Ocean Observing System (GOOS) and endorsed as a United Nations Ocean Decade Action. By connecting deep-ocean observers across disciplines, expanding the observing community to include non-traditional partners, and linking data providers to users, iDOOS will enhance the GOOS deep-ocean capabilities and target societal needs. Through engagement with policy makers, regulators, and science coordinators, iDOOS will raise awareness and support for deep-ocean science, and bring science into critical decisions regarding climate, biodiversity and sustainability. iDOOS will foster a community of future leaders informed in deep-ocean observing, modeling, and data science at a global level who are adept at communicating to regulators and policy makers as well as fellow scientists.iDOOS addresses three main themes: (1) requirement setting for deep ocean observing; (2) promoting the coordination and implementation of integrated observing to address Sustainable Development Goals and societal needs; and (3) translating knowledge and data to allow science-based decision-making, regulation and governance of the global deep ocean. These themes will be integrated and applied via the framework of regional demonstration projects. iDOOS will work with the GOOS disciplinary expert panels to refine Essential Ocean Variables in terms of deep ocean requirements, and with network partners to maximize their implementation and use. In addition, the project has two cross-cutting activities. A focus on data/informatics will contribute best practices and standards to the requirement-setting theme, support activities across the working groups, and offer tailored training to early-career researchers. The project aims to enable findable, accessible, interoperable, and reusable (FAIR) deep-sea data and a data-enabled, deep-sea workforce. A key element of iDOOS is the mentorship and training of the next generation. iDOOS will assemble a network of Deep Ocean Early career Researchers (DOERs) drawing from collaborating networks, the broader deep-ocean observing community, as well as from developing countries and indigenous communities. Through the theme working groups, the project will conduct training activities and meetings to substantially improve justice, equity, diversity, inclusion, and belonging among the participating networks and more broadly within deep-ocean science.The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

低于200 m的深海是鲜为人知的。这个动态领域是生物多样性的庞大存储库，提供了关键的气候调节，并拥有大量的碳氢化合物，矿物质和遗传资源。在为可持续发展和管理提供信息的水平上观察深海面临重大的技术和后勤挑战。为了应对这些挑战，iDOOS项目将实施一项深厚的观察战略（DOOS），该战略将美国和国际网络汇集在一起​​，参与持续的深度观察，映射，勘探，勘探，建模，研究和管理，以利用彼此的努力，知道和资源。该实施项目将在全球海洋观察系统（Goos）的保护下，促进DOOS社区驱动的倡议，并作为联合国海洋十年的行动认可。通过将跨学科的深度观察员联系起来，扩展观察者社区，包括非传统合作伙伴，并将数据提供商与用户联系起来，Idoos将增强Goos Deep-ocean Deep-ecean能力和目标社会需求。通过与政策制定者，监管机构和科学协调员的参与，IDOOS将提高人们对深度科学的认识和支持，并将科学带入有关气候，生物多样性和可持续性的关键决策。 Idoos将在全球范围内培养一个未来的领导者社区，这些社区善于与监管机构和政策制定者进行沟通，并在全球范围内进行深入观察，建模和数据科学。 （2）促进综合观察的协调和实施，以满足可持续发展目标和社会需求； （3）翻译知识和数据允许全球深海的基于科学的决策，法规和治理。这些主题将通过区域演示项目的框架进行整合和应用。 IDOOS将与Goos纪律专家小组合作，以根据深海需求来完善基本的海洋变量，并与网络合作伙伴最大化其实施和使用。此外，该项目还进行了两项横切活动。对数据/信息学的关注将为需求设定的主题，支持工作组的活动提供最佳实践和标准，并为早期研究人员提供量身定制的培训。该项目旨在启用可发现的，可访问的，可互操作的和可重复使用的（公平）深海数据和支持数据的深海工作队伍。 iDoos的一个关键要素是下一代的训练和培训。 Idoos将从合作网络，更广泛的深入观察者社区以及发展中国家和土著社区组成深海早期职业研究人员（DOER）网络。通过主题工作组，该项目将开展培训活动和会议，以大大改善参与网络中的正义，公平，多样性，包容性，并在深度海洋科学中更广泛地融入。通过国际网络到网络合作（ACCELNET）计划加速研究，旨在加快美国国际研究员的科学发现和下一代合作的准备。 Accelnet计划支持美国研究网络和国外完整的网络之间的战略联系，这将利用研究和教育资源来应对需要重大协调的国际努力的宏伟科学挑战。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来通过评估来支持的。

项目成果

Designing, generating, and translating deep-ocean observations for and with international policy makers

为国际政策制定者并与国际政策制定者一起设计、生成和翻译深海观测结果

• DOI: 10.1093/icesjms/fsac143
• 发表时间: 2022
• 期刊: ICES Journal of Marine Science
• 影响因子: 3.3
• 作者: Levin, Lisa A.;Cimoli, Laura;Gjerde, Kristina;Harden-Davies, Harriet;Heimbach, Patrick;LaScala-Gruenewald, Diana;Pachiadaki, Maria;Pillar, Helen R.;Smith, Leslie M.;Stocks, Karen
• 通讯作者: Stocks, Karen

Deep sea nature-based solutions to climate change

• DOI: 10.3389/fclim.2023.1169665
• 发表时间: 2023-07
• 期刊: Proceedings of the Genetic and Evolutionary Computation Conference
• 作者: Nathalie Hilmi;M. Sutherland;S. Farahmand;G. Haraldsson;Erik van Doorn;Ekkehard Ernst;M. Wisz;Astrid Claudel Rusin;Laura G. Elsler;L. Levin

SMART Cables Observing the Oceans and Earth

观测海洋和地球的智能电缆

• DOI: 10.4031/mtsj.56.5.3
• 发表时间: 2022
• 期刊: Marine Technology Society Journal
• 影响因子: 0.8
• 作者: Rowe, Charlotte A.;Howe, Bruce M.;Fouch, Matthew J.;Angove, Michael;Aucan, Jerome;Barnes, Christopher R.;Bayliff, Nigel;Becker, Nathan C.;Carrilho, Fernando;Fry, Bill
• 通讯作者: Fry, Bill

The Deep Ocean Observing Strategy: Addressing Global Challenges in the Deep Sea Through Collaboration

深海观测战略：通过合作应对深海全球挑战

• DOI: 10.4031/mtsj.56.3.11
• 发表时间: 2022
• 期刊: Marine Technology Society Journal
• 影响因子: 0.8
• 作者: Smith, Leslie M.;Cimoli, Laura;LaScala-Gruenewald, Diana;Pachiadaki, Maria;Phillips, Brennan;Pillar, Helen;Stopa, Justin E.;Baumann-Pickering, Simone;Beaulieu, Stace E.;Bell, Katherine L.C.
• 通讯作者: Bell, Katherine L.C.

SMART Subsea Cables for Observing the Earth and Ocean, Mitigating Environmental Hazards, and Supporting the Blue Economy

• DOI: 10.3389/feart.2021.775544
• 发表时间: 2022-02-07
• 期刊: FRONTIERS IN EARTH SCIENCE
• 影响因子: 2.9
• 作者: Howe, Bruce M.;Angove, Michael;Wilcock, William
• 通讯作者: Wilcock, William