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.

200米以下的深海鲜为人知。 这个动态的领域是生物多样性的巨大宝库，提供关键的气候调节，并拥有丰富的碳氢化合物，矿物和遗传资源。 在为可持续发展和管理提供信息所需的水平上观测深海面临着重大的技术和后勤挑战。 为了应对这些挑战，iDOOS项目将实施一项深海观测战略（DOOS），将美国和国际上从事持续深海观测、测绘、勘探、建模、研究和管理的网络聚集在一起，以利用彼此的努力、知识和资源。 这一实施项目将推动海洋观测系统社区驱动的倡议，在全球海洋观测系统（海观系统）的保护伞下开展工作，并被批准为联合国海洋十年行动。 通过将各学科的深海观测者联系起来，扩大观测界以包括非传统伙伴，并将数据提供者与用户联系起来，iDOOS将加强全球海洋观测系统的深海能力，并满足社会需求。 通过与决策者、监管机构和科学协调员的合作，iDOOS将提高对深海科学的认识和支持，并将科学纳入有关气候、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批精通深海观测、建模和数据科学的未来领导者，他们善于与监管机构和政策制定者以及其他科学家进行沟通。iDOOS涉及三个主题：（1）制定深海观测要求;（2）促进综合观测的协调和实施，以满足可持续发展目标和社会需求;（3）促进全球海洋观测的发展。以及（3）转化知识和数据，以便对全球深海进行科学决策、监管和治理。 这些主题将通过区域示范项目的框架加以整合和应用。 iDOOS将与全球海洋观测系统学科专家小组合作，根据深海要求完善基本海洋变量，并与网络伙伴合作，最大限度地实施和使用这些变量。 此外，该项目还有两项贯穿各领域的活动。 对数据/信息学的关注将为需求设定主题提供最佳实践和标准，支持各工作组的活动，并为早期职业研究人员提供量身定制的培训。 该项目旨在实现可查找、可访问、可互操作和可重复使用（FAIR）的深海数据和数据支持的深海劳动力。 iDOOS的一个关键要素是指导和培训下一代。 iDOOS将从合作网络、更广泛的深海观测界以及发展中国家和土著社区汇集一个深海早期职业研究人员网络。 通过专题工作组，该项目将开展培训活动和会议，以大幅改善正义、公平、多样性、包容性，通过国际网络间合作加速研究该计划旨在加速科学发现的进程，并为下一代美国研究人员进行多团队国际合作做好准备。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.

Integrating Multidisciplinary Observations in Vent Environments (IMOVE): Decadal Progress in Deep-Sea Observatories at Hydrothermal Vents

• DOI: 10.3389/fmars.2022.866422
• 发表时间: 2022-05
• 作者: M. Matabos;T. Barreyre;S. Juniper;M. Cannat;D. Kelley;Joan M. Alfaro-Lucas;V. Chavagnac;A. Colaço;J. Escartín;E. Escobar;D. Fornari;J. Hasenclever;J. Huber;A. Laës-Huon;N. Lantéri;L. Levin;S. Mihaly;E. Mittelstaedt;F. Pradillon;P. Sarradin;J. Sarrazin;B. Tomasi;R. Venkatesan;C. Vic