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RII Track-1: Change Hawaii: Harnessing the Data Revolution for Island Resilience

RII Track-1: Change Hawaii: Harnessing the Data Revolution for Island Resilience
RII Track-1:改变夏威夷:利用数据革命提高岛屿复原力
批准号:
2149133
负责人:
Jason Leigh
金额:
$2000.0万
依托单位:
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-06-01 至 2027-05-31

项目摘要

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中文摘要
翻译
变化夏威夷:利用数据革命促进岛屿复原力[变化(HI)]项目旨在在夏威夷开发适当的工具和劳动力,以研究和了解气候变化对该州的生存威胁。夏威夷多样而复杂的气候和地理环境给测量和收集可靠数据以适当监测与天气有关的事件提出了独特的挑战。由于气候的加速变化,这些事件在频率和强度上都有所加强。虽然目前有更大规模的数据可用,但夏威夷缺乏足够的缩小规模的产品来促进气候影响的建模、替代能源规划和改进当今的天气预报。气候科学依赖数据科学、分析和可视化来缩小数据差距,并开发可操作的科学和模型,这反过来将支持夏威夷向数据驱动型“智能”经济的过渡。Change(HI)致力于通过数据/气候跨学科研究产生可操作的科学。与此同时,该项目寻求培训计算和气候科学方面的劳动力,以帮助依赖旅游业的夏威夷经济实现多样化和再生。CHANGE(HI)将整合夏威夷四所高等教育机构的参与者:夏威夷大学马诺阿分校、夏威夷大学希洛分校、夏威夷西瓦胡岛分校和夏米纳德大学。该项目将在数据科学、气候科学、网络基础设施、教育和劳动力发展等领域建立多校园和多学科团队。Change(HI)将使夏威夷“利用数据革命”来应对气候变化,并支持该州的经济多元化。夏威夷目前被认为在气候分析产品方面服务不足,因为国家分析和监测网络往往受到限制,导致夏威夷的决策数据差距和信息匮乏。此外,岛屿的地形多种多样,气候多变,很难获得从不同预测模型获得可靠结果所需的高分辨率数据。变化夏威夷:利用数据革命促进岛屿复原力[变化(HI)]项目建议通过使用现有的和新的传感器并生成适当的缩小尺度的气候产品来获得必要的数据。各利益攸关方可通过目前已投入使用并将进行升级以处理新的气候信息的数据门户方便地获取这些数据。变化(HI)将侧重于确定关键差距,这些差距不会与海水淹没、沿海生态、珊瑚复原力和风暴等领域正在进行的、得到大量资金支持的努力重复。研究计划分为四个重点主题:1)监测、可视化和传达变化;2)预测和模拟区域气候变化;3)变化的生态水文学;4)描述土地利用变化的权衡。气候变化(HI)将为夏威夷在气候变化科学方面带来根本性和可操作的进展,包括适用于其他太平洋岛屿的数据产品、收集战略和分析工具。该项目包括招募和纳入战略,将增加STEM和数据科学等计算学科中代表性不足的群体的参与,促进土著参与,并促进社区在数据科学方面的联合制作和机构。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The Change Hawaii: Harnessing the Data Revolution for Island Resilience [Change(HI)] project aims to develop the appropriate tools and workforce in Hawaii to study and understand the existential threat of climate change on the state. The diverse and complex climate and geography of Hawaii presents unique challenges to measure and gather reliable data to properly monitor weather-related events. These events have been enhanced in frequency and intensity due to the accelerated change in climate. While data at a larger scale is currently available, there is lack of sufficient downscaled products in Hawaii to facilitate modeling of climate impacts, alternative energy planning, and improvement of present-day weather forecasts. Climate science depends on data science, analytics, and visualization to close data gaps, and to develop actionable science and models which in turn will support Hawaii’s transition to a data-driven, “smart” economy. Change(HI) is committed to producing actionable science resulting from data/climate interdisciplinary research. At the same time, the project seeks to train a workforce in computational and climate science that would help diversify and regenerate the Hawaiian economy, which is dependent on tourism. Change(HI) will consolidate participants from four Hawaii's higher education institutions: University of Hawaii Manoa, University of Hawaii Hilo, University of Hawaii West Oahu, and Chaminade University. The project will establish multi-campus and multidisciplinary teams in areas such as data science, climate science, cyberinfrastructure, education, and workforce development. Change(HI) will position Hawaii to “harness the data revolution” to confront climate change and support the state’s economic diversification. Hawaii is currently considered underserved in climate analysis products because national analyses and monitoring networks are often restricted, resulting in data gaps and information scarcity for decision making in Hawaii. In addition, the diverse topography of the islands as well as the dynamic climate make it difficult to obtain the high-resolution data needed to obtain reliable outcomes from different predicting models. The Change Hawaii: Harnessing the Data Revolution for Island Resilience [Change(HI)] project proposes to obtain the necessary data by using current and new sensors and generating the proper downscaling climate products. The data will be easily accessible for the various stakeholders through a data portal that is currently operational and will be upgraded to handle the new climate information. Change(HI) will focus on identifying critical gaps that are not duplicative of ongoing and highly funded efforts in areas such as seawater inundation, coastal ecology, coral resilience, and storms. The research plan is divided into four focused themes: 1) monitoring, visualizing and communicating change; 2) predicting and simulating regional climate change; 3) ecohydrology of change; 4) characterizing land-use change tradeoffs. Change(HI) will deliver fundamental and actionable advances in the science of climate change for Hawaii, including data products, collection strategies, and analysis tools that will be applicable to other Pacific islands. The project includes recruitment and inclusion strategies that will increase participation of groups under-represented in STEM and computational disciplines such as data science, promote indigenous participation, and promote community co-production and agency in data science.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.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
SAGE3 - the Smart Amplified Group Environment,
SAGE3 - 智能放大的团体环境,
DOI: --
发表时间: 2023
期刊: Science Gateways 2023 Annual Conference
影响因子: --
作者: [Tabalba, R., Kirshenbaum, N., Harden, J., Rogers, M., Nishimoto, A., Christman, E., Yu, A., Theriot, R., Long, L., Renambot, L.]
通讯作者: Renambot, L.
A Century of Drought in Hawaiʻi: Geospatial Analysis and Synthesis across Hydrological, Ecological, and Socioeconomic Scales
夏威夷百年干旱:水文、生态和社会经济尺度的地理空间分析与综合
DOI: 10.3390/su141912023
发表时间: 2022
期刊: Sustainability
影响因子: 3.9
作者: [Frazier, Abby G., Giardina, Christian P., Giambelluca, Thomas W., Brewington, Laura, Chen, Yi-Leng, Chu, Pao-Shin, Berio Fortini, Lucas, Hall, Danielle, Helweg, David A., Keener, Victoria W.]
通讯作者: Keener, Victoria W.
DOI: 10.1109/mcse.2023.3297753
发表时间: 2023
期刊: Computing in Science & Engineering
影响因子: 2.1
作者: [Belcaid, Mahdi, Leigh, Jason, Theriot, Ryan, Kirshenbaum, Nurit, Tabalba, Roderick, Rogers, Michael, Johnson, Andrew, Brown, Maxine, Renambot, Luc, Long, Lance]
通讯作者: Long, Lance
New projections of 21st century climate and hydrology for Alaska and Hawaiʻi
阿拉斯加和夏威夷 21 世纪气候和水文的新预测
DOI: 10.1016/j.cliser.2022.100312
发表时间: 2022
期刊: Climate Services
影响因子: 3.2
作者: [Mizukami, Naoki, Newman, Andrew J., Littell, Jeremy S., Giambelluca, Thomas W., Wood, Andrew W., Gutmann, Ethan D., Hamman, Joseph J., Gergel, Diana R., Nijssen, Bart, Clark, Martyn P.]
通讯作者: Clark, Martyn P.
共 6 条
    RAPID: Evaluation of an Artificial Intelligence-enhanced Edge Sensor System for Multi-Hazard Monitoring and Detection
    • 批准号:
      2346568
    • 项目类别:
      Standard Grant
    • 资助金额:
      $20.0万
    • 财政年份:
      2023
    • 负责人:
      Jason Leigh
    • 依托单位:
    Collaborative Research: CSSI Frameworks: SAGE3: Smart Amplified Group Environment for Harnessing the Data Revolution
    • 批准号:
      2004014
    • 项目类别:
      Standard Grant
    • 资助金额:
      $225.0万
    • 财政年份:
      2020
    • 负责人:
      Jason Leigh
    • 依托单位:
    CHS: Small: Collaborative Research: Articulate+ - A Conversational Interface for Democr atizing Visual Analysis
    • 批准号:
      2008986
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $16.6万
    • 财政年份:
      2020
    • 负责人:
      Jason Leigh
    • 依托单位:
    MRI: Development of the CyberCANOE- a Cyber-enabled Collaboration Analysis Navigation and Observation Environment
    • 批准号:
      1530873
    • 项目类别:
      Standard Grant
    • 资助金额:
      $60.0万
    • 财政年份:
      2015
    • 负责人:
      Jason Leigh
    • 依托单位:
    海外基金