Collaborative Research: Research Networking Activities in Support of Sustained Coordinated Observations of Arctic Change

合作研究:支持北极变化持续协调观测的研究网络活动

基本信息

  • 批准号:
    1936626
  • 负责人:
  • 金额:
    $ 33.53万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-07-15 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

A range of national and international bodies have recognized the urgent need for improved coordination of sustained observations of rapid Arctic Change. Such coordination provides shared benefits to Arctic and non-Arctic nations, for example in responding effectively to transformations in marine ecosystems, improving prediction of extreme weather and environmental hazards associated with Arctic change. Coordination of observations also advances our understanding of the functioning of the Arctic system and the services it provides at the regional, national, and global level. This project brings together experts from different branches of science and engineering, along with Arctic Indigenous experts and organizations to jointly advance coordination, design, and implementation of sustained observations. Drawing on guidance from different Arctic rights holders, decision- and policymakers, the Research Networking Activity (RNA) focuses on the topic of food security in the Pacific Arctic maritime sector. Food security, in particular for Alaska coastal communities but also in the context of large-scale fisheries and other factors of national concern has been substantially impacted by changing ice and ocean conditions that have been most pronounced in the Pacific Arctic sector in recent years. The project draws on different assessment, modeling, and observing system design approaches to lay the foundation for a food-security oriented information product integrating different types of coordinated observations. In accomplishing project goals, Alaska Native scholars are active participants in the work, with a focus on capacity-building within Indigenous Peoples’ organizations such that they can better steer and utilize Arctic observing data and information products.Project objectives are achieved by tying into key goals identified by the Arctic Council’s and International Arctic Science Committee’s Sustaining Arctic Observing Networks (SAON) initiative. Specifically, the international community has developed a joint vision for a connected, collaborative, and comprehensive long-term pan-Arctic Observing System that serves societal needs. SAON has identified development of a Roadmap for Arctic Observing and Data Systems (ROADS) as a key starting point for implementing its strategy: to detail where observing and data management efforts need to go and how SAON partners will jointly get there. This RNA project establishes and maintains a collaborative network between U.S. and international partner institutions to initiate and advance the ROADS process. Specifically, the project transforms the Arctic Observing Summit (AOS) from a biennial meeting into an ongoing process and resource to aid with coordination of observations. The AOS in turn informs four different sets of project activities that advance coordination, requirements capture, design development, and information infrastructure. Each of the task teams under these four themes draws on a combination of facilitated meetings, modeling and assessment activities, formal and informal collaborations, and the expansion of the Food Security case study into a broader resource and model for pan-Arctic observing coordination and integration. The project draws on principles of co-production of knowledge, observing system simulation experiments, and systems engineering to determine shared benefits and quantitatively assess the impacts of optimized observations relevant in a food security and marine ecosystems context. Data and tools emerging from this work inform a food security information product shared through the Group on Earth Observations observing system of systems framework.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.
一系列国家和国际机构已经认识到迫切需要改进对北极快速变化的持续观测的协调。这种协调为北极和非北极国家提供了共同利益,例如有效应对海洋生态系统的转变,改进与北极变化有关的极端天气和环境危害的预测。观测的协调也促进了我们对北极系统的运作及其在区域、国家和全球层面提供的服务的理解。该项目汇集了来自不同科学和工程部门的专家,以及北极土著专家和组织,共同推进持续观测的协调、设计和实施。根据不同的北极权利持有人、决策者和决策者的指导,研究网络活动(RNA)侧重于太平洋北极海事部门的粮食安全主题。近年来在太平洋北极地区最为明显的冰和海洋状况的变化对粮食安全,特别是阿拉斯加沿海社区的粮食安全,以及在大规模渔业和其他国家关注因素的背景下的粮食安全产生了重大影响。该项目利用不同的评估、建模和观测系统设计方法,为整合不同类型的协调观测的面向粮食安全的信息产品奠定基础。在完成项目目标的过程中,阿拉斯加土著学者积极参与工作,重点关注土著人民组织的能力建设,以便他们能够更好地指导和利用北极观测数据和信息产品。项目目标是通过与北极理事会和国际北极科学委员会持续北极观测网络(SAON)倡议确定的关键目标相结合来实现的。具体而言,国际社会已经制定了一个共同愿景,即建立一个连接、协作和全面的长期泛北极观测系统,以满足社会需求。SAON已经确定制定北极观测和数据系统路线图(ROADS)作为实施其战略的关键起点:详细说明观测和数据管理工作需要走向何处,以及SAON合作伙伴如何共同实现这一目标。该RNA项目在美国和国际伙伴机构之间建立并维持一个协作网络,以启动和推进ROADS进程。具体而言,该项目将北极观测峰会(AOS)从两年一次的会议转变为一个持续的进程和资源,以协助协调观测。AOS依次通知四组不同的项目活动,这些活动推进了协调、需求获取、设计开发和信息基础设施。这四个主题下的每个任务小组都结合了便利会议、建模和评估活动、正式和非正式合作,并将粮食安全案例研究扩展为泛北极观测协调和一体化的更广泛资源和模式。该项目借鉴了知识共同生产、观测系统模拟实验和系统工程的原则,以确定共享利益,并定量评估与粮食安全和海洋生态系统相关的优化观测的影响。这项工作产生的数据和工具为通过地球观测小组的系统框架观测系统共享的粮食安全信息产品提供了信息。该奖项反映了美国国家科学基金会的法定使命,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

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Impact of Synthetic Arctic Argo-Type Floats in a Coupled Ocean–Sea Ice State Estimation Framework
耦合海洋中合成北极 Argo 型浮标的影响 - 海冰状态估计框架
  • DOI:
    10.1175/jtech-d-19-0159.1
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Nguyen, An T.;Heimbach, Patrick;Garg, Vikram V.;Ocaña, Victor;Lee, Craig;Rainville, Luc
  • 通讯作者:
    Rainville, Luc
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Matthew Jones其他文献

Improving the likelihood of neurology patients being examined using patient feedback
利用患者反馈提高神经科患者接受检查的可能性
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. Appleton;A. Ilinca;A. Lindgren;A. Puschmann;M. Hbahbih;Khurram A. Siddiqui;R. de Silva;Matthew Jones;R. Butterworth;M. Willmot;T. Hayton;M. Lunn;D. Nicholl
  • 通讯作者:
    D. Nicholl
The ATLAS SCT Optoelectronics and the Associated Electrical Services
ATLAS SCT 光电及相关电气服务
  • DOI:
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Abdesselam;O’Shea;R. Nickerson;B. Stugu;Y. Ikegami;P. Ratoff;T. Brodbeck;N. Hessey;G. Viehhauser;P. Jovanović;P. Dervan;B. Gallop;P. Phillips;A. Greenall;L. Eklund;A. Cheplakov;C. García;P. D. Renstrom;P. Allport;S. Lindsay;K. Jakobs;A. Tricoli;R. Bates;Cindro;P. Teng;T. Jones;T. Mcmahon;D. White;J. Mathesonu;C. Issever;J. Jackson;J. Meinhardt;M. Postranecky;P. Bell;G. Kramberger;E. Spencer;L. Feld;M. Ullán;R. Apsimon;J. Vossebeld;R. French;M. French;F. Hartjes;R. Brenner;S. Stapnes;T. Ekelof;D. Joos;N. Ujiie;B. Demirkoz;M. Mikuå;T. Kohriki;J. Pater;J. Dowell;J. Grosse;D. Charlton;L. Batchelor;C. Magrath;C. Buttar;J. Parzefall;C. Lester;M. Warren;M. Morrissey;H. Pernegger;C. Escobar;M. Chu;K. Sedlák;I. Mesmer;C. Macwaters;A. Chilingarov;J. Carter;A. Weidberg;J. Bizzell;J. Bernabeu;S. Lee;P. Kodyš;K. Runge;M. Turala;R. Wastie;M. Tadel;J. Wilson;R. Homer;M. Tyndel;S. Pagenis;A. Grillo;M. A. Parker;M. Lozano;S. Eckert;Matthew Jones;N. Smith;E. Margan;S. Terada;M. Goodrick;T. J. Fraser;J. Hill;A. Rudge;G. Hughes;Y. Unno;A. Robson;M. Webel;A. Nichols;A. Barr;Z. Doležal;L. Hou;G. Mahout;J. Fuster;P. Wells;R. Jones;I. Mandić
  • 通讯作者:
    I. Mandić
Quality investigation and variability analysis of GPS travel time data in Sydney
悉尼GPS旅行时间数据质量调查及变异性分析
The Radford Bombshell: Anglo-Australian-US Relations, Nuclear Weapons and the Defence of South East Asia, 1954-57
雷德福重磅炸弹:英澳美关系、核武器和东南亚防御,1954-57 年
  • DOI:
  • 发表时间:
    2004
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Matthew Jones
  • 通讯作者:
    Matthew Jones
A framework for characterizing students’ cognitive processes related to informal best fit lines
用于描述学生与非正式最佳拟合线相关的认知过程的框架
  • DOI:
    10.1080/10986065.2018.1509418
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    1.6
  • 作者:
    Randall E. Groth;Matthew Jones;M. Knaub
  • 通讯作者:
    M. Knaub

Matthew Jones的其他文献

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{{ truncateString('Matthew Jones', 18)}}的其他基金

Collaborative Research: GEO OSE Track 2: QGreenland-Net: Open, connected data infrastructure for Greenland-focused geoscience, and beyond
合作研究:GEO OSE 第 2 轨:QGreenland-Net:面向格陵兰岛地球科学及其他领域的开放、互联数据基础设施
  • 批准号:
    2324766
  • 财政年份:
    2024
  • 资助金额:
    $ 33.53万
  • 项目类别:
    Standard Grant
Using Demand Flexing to Transform Indoor Farms into Renewable Energy Assets
利用需求弹性将室内农场转变为可再生能源资产
  • 批准号:
    BB/Z514469/1
  • 财政年份:
    2024
  • 资助金额:
    $ 33.53万
  • 项目类别:
    Research Grant
Hybrid Quantum System of Excitons and Superconductors
激子和超导体的混合量子系统
  • 批准号:
    EP/X038556/1
  • 财政年份:
    2023
  • 资助金额:
    $ 33.53万
  • 项目类别:
    Research Grant
CAREER: Leveraging Atomically-Precise Inorganic Clusters to Understand Nanoparticle Synthesis
职业:利用原子级精确的无机簇来理解纳米粒子的合成
  • 批准号:
    2145500
  • 财政年份:
    2022
  • 资助金额:
    $ 33.53万
  • 项目类别:
    Continuing Grant
NERC-FAPESP Informed Greening of Cities for Urban Cooling (GreenCities)
NERC-FAPESP 为城市降温提供信息化城市绿化 (GreenCities)
  • 批准号:
    NE/X002772/1
  • 财政年份:
    2022
  • 资助金额:
    $ 33.53万
  • 项目类别:
    Research Grant
Climate change impacts on global wildfire ignitions by lightning and the safe management of landscape fuels
气候变化对闪电引发的全球野火和景观燃料安全管理的影响
  • 批准号:
    NE/V01417X/1
  • 财政年份:
    2022
  • 资助金额:
    $ 33.53万
  • 项目类别:
    Fellowship
Reclaiming Forgotten Cities - Turning cities from vulnerable spaces to healthy places for people [RECLAIM]
夺回被遗忘的城市 - 将城市从脆弱的空间转变为人们健康的地方 [RECLAIM]
  • 批准号:
    EP/W033984/1
  • 财政年份:
    2022
  • 资助金额:
    $ 33.53万
  • 项目类别:
    Research Grant
Defragmenting the fragmented urban landscape (DEFRAG)
对支离破碎的城市景观进行碎片整理 (DEFRAG)
  • 批准号:
    NE/W002892/1
  • 财政年份:
    2021
  • 资助金额:
    $ 33.53万
  • 项目类别:
    Research Grant
Advancing Arctic research and education through data preservation and reuse at the Arctic Data Center
通过北极数据中心的数据保存和再利用推进北极研究和教育
  • 批准号:
    2042102
  • 财政年份:
    2021
  • 资助金额:
    $ 33.53万
  • 项目类别:
    Cooperative Agreement
CompCog: Bridging Levels of Analysis: Characterizing Algorithmic Models by Extreme Bayesian Priors
CompCog:桥接分析级别:通过极端贝叶斯先验表征算法模型
  • 批准号:
    2020906
  • 财政年份:
    2020
  • 资助金额:
    $ 33.53万
  • 项目类别:
    Standard Grant

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合作研究:CISE:大型:集成网络、边缘系统和人工智能支持自动驾驶汽车的弹性和安全关键远程操作
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