Bringing Land, Ocean, Atmosphere and Ionosphere Data to the Community for Hazards Alerts
Bringing Land, Ocean, Atmosphere and Ionosphere Data to the Community for Hazards Alerts
批准号:
2120238
负责人:
Ramesh Singh
金额:
$8.68万
依托单位:
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
项目状态:
已结题
起止时间:
2021-03-01 至 2022-04-30
中文摘要
NSF融合加速器支持以使用为灵感、以团队为基础的多学科努力,以应对国家重要性的挑战,并将在不久的将来产生对社会有价值的成果。这次研讨会的目的是将陆地、海洋、大气和电离层数据带到社区进行灾害警报,以帮助确定NSF融合加速器中新轨道的主题领域。这次研讨会将汇集从事陆地、海洋、大气、冰冻层和电离层现象研究的地球系统科学家,讨论陆上自然灾害以及这些灾害对地球系统相应部分,即海洋、大气、冰冻层和电离层以及对这些灾害附近的人类人口的影响。许多关于自然灾害的研究都倾向于集中在一个地球系统上--例如,热带风暴主要是由海洋科学家研究的,而地球或大气科学家研究的较少。然而,随着全球更高空间和时间分辨率的地面、钻孔和卫星观测的可用性不断提高,以及光学和微波卫星能够在不同的气压水平下提供气象和大气参数,使得能够进行更详细的分析,表明由于自然灾害,不同地球系统之间的耦合更强。这一融合加速器研讨会将提供一个平台,利用所有可用的数据源开发自然灾害警报系统,并通过各种社交和数字媒体将这些信息传达给人们,以减少生命财产损失,保护人类健康。讲习班将汇集地面、地面、气象和大气数据方面的专家,以及社会科学研究人员、城市规划者和其他地方政府利益攸关方、非政府组织的代表和协助灾害管理的人,讨论在自然灾害期间到达受影响社区的需要和有效方法。研讨会将有助于在所有类型的自然灾害及其对当地/区域基础设施、资源和人员的影响的背景下,增进对耦合land-ocean-cryosphere-meteorological-ionosphere系统的了解。研讨会的主要目标是促进来自不同平台的所有可用数据的使用,并利用无数的社交和数字媒体平台来提醒社区,让他们为即将到来的危险做好准备。这一奖项反映了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 NSF Convergence Accelerator supports use-inspired, team-based, multidisciplinary efforts that address challenges of national importance and will produce deliverables of value to society in the near future. The objective of this workshop on Bringing Land, Ocean, Atmosphere and Ionosphere Data to the Community for Hazards Alerts is to help identify topic areas for new tracks in the NSF Convergence Accelerator.This workshop will bring together Earth System scientists engaged in research on land, ocean, atmosphere, cryosphere and ionosphere phenomena to discuss land-based natural hazards and the impact of such hazards on corresponding parts of the Earth system, viz., ocean, atmosphere, cryosphere, and ionosphere, as well as on human populations in the vicinity of those hazards. Much of the research on natural hazards has tended to focus on one Earth system – for example, tropical storms are studied primarily by ocean scientists, and not as much by, say, earth or atmospheric scientists. However, increasing availability of ground-based, borehole and satellite-based observations at higher spatial and temporal resolution over the globe, and optical and microwave satellites capable of providing meteorological and atmospheric parameters at different pressure levels, are enabling more detailed analyses that show stronger coupling among various Earth systems due to natural hazards. This Convergence Accelerator workshop will provide a platform for ideation and brainstorming on using all available data sources to develop an “alert system” for natural hazards, and to communicate such information to people via various social and digital media in order to reduce loss of life and property and protect human health. The workshop will bring together experts in ground, surface, meteorological and atmospheric data, together with social science researchers, city planners and other local government stakeholders, representatives from non-governmental organizations and those assisting in disaster management to discuss the needs as well as effective approaches for reaching the affected communities during a natural hazard. The workshop will help advance understanding of coupled land-ocean-cryosphere-meteorological-ionosphere systems in the context of natural hazards of all types, and their impact on local/regional infrastructure, resources and people. The key objective of the workshop is to advance the use of all available data from different platforms and leverage the myriad social and digital media platforms to alert the community and get them prepared for impending hazards.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.
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国内基金
海外基金
基于重要农地保护LESA(Land Evaluation and Site Assessment)体系思想的高标准基本农田建设研究
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批准号:41340011
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项目类别:专项基金项目
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资助金额:20.0万元
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批准年份:2013
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负责人:钱凤魁
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依托单位:
基于Sparse-Land模型的SAR图像噪声抑制与分割
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批准号:60971128
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项目类别:面上项目
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资助金额:30.0万元
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批准年份:2009
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负责人:侯彪
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依托单位: