Challenges and Promise of In Situ Sensing for Nowcasting, Forecasting and Predicting Environmental Trends in Coastal Ecosystems: A Workshop Proposal for Multi Agency Support
原位传感在临近预报、预报和预测沿海生态系统环境趋势方面的挑战和前景:多机构支持研讨会提案
基本信息
- 批准号:9820260
- 负责人:
- 金额:$ 3.6万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:1998
- 资助国家:美国
- 起止时间:1998-12-15 至 2001-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
9820260MaloneFunding is provided as cost-sharing for a workshop to discuss the current capabilities and needs for long-term, high resolution time series observations, real time telemetry, and data assimilation requirements for in situ sensing of coastal ecosystems. The workshop organizers have secured multi-agency (NSF, NOAA, NASA, ONR, EPA, and MMS) support for this effort. They intend to invite approximately 75 participants who are recognized for their research on coastal ecosystems and/or development and use of in situ sensors for a four-day workshop. In addition, 15-20 observers from government agencies are expected to attend. The workshop's overall goal is to evaluate the need for in situ measurements and real-time telemetry, promote more effective "end-to-end" linkages between measurements, data assimilation, synthesis and applications; and catalyze comparative analysis of environmental issues. The workshop participants will be asked to address three related issues: 1) detecting and predicting change in coastal ecosystems; 2) monitoring-capabilities and information needs; and 3) the design and implementation of integrated, multidisciplinary coastal observing systems. The product of the workshop will be a report that will present a coherent and comprehensive plan for designing and implementing integrated coastal observing systems that are responsive to user needs. Results of the workshop will be presented at AGU, ASLO and EFR meetings within one year of the completion of the workshop.
9820260malone提供资金作为研讨会的费用分摊,以讨论长期、高分辨率时间序列观测、实时遥测和沿海生态系统原位遥感的数据同化要求的当前能力和需求。研讨会组织者已经获得了多机构(NSF、NOAA、NASA、ONR、EPA和MMS)对这项工作的支持。他们打算邀请大约75名因研究沿海生态系统和/或开发和使用现场传感器而得到认可的与会者参加为期四天的讲习班。此外,预计将有15至20名政府机构观察员出席。讲习班的总目标是评价对现场测量和实时遥测的需要,促进测量、数据同化、综合和应用之间更有效的“端到端”联系;并促进环境问题的比较分析。与会者将被要求解决三个相关问题:1)探测和预测沿海生态系统的变化;2)监测能力和信息需求;3)多学科综合海岸观测系统的设计与实施。讲习班的成果将是一份报告,其中将提出一项连贯和全面的计划,以设计和执行符合用户需要的综合海岸观测系统。讲习班的成果将在讲习班结束后一年内提交给AGU、ASLO和EFR会议。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Thomas Malone其他文献
When combinations of humans and AI are useful: A systematic review and meta-analysis
当人类与人工智能的组合有用时:一项系统综述和荟萃分析
- DOI:
10.1038/s41562-024-02024-1 - 发表时间:
2024-10-28 - 期刊:
- 影响因子:15.900
- 作者:
Michelle Vaccaro;Abdullah Almaatouq;Thomas Malone - 通讯作者:
Thomas Malone
118 CORRELATION BETWEEN CARDIAC OUTPUT MEASURED BY THE MICROSPHERE METHOD AND DUPLEX DOPPLER ULTRASONOGRAPHY
- DOI:
10.1203/00006450-198504000-00148 - 发表时间:
1985-04-01 - 期刊:
- 影响因子:3.100
- 作者:
Thomas Malone;Nancy Hansen;Mohammed Bashiru;James Menke;Dwight Powell - 通讯作者:
Dwight Powell
Solving Wicked Social Problems with Socio-computational Systems
- DOI:
10.1007/s13218-012-0231-2 - 发表时间:
2012-12-28 - 期刊:
- 影响因子:3.600
- 作者:
Joshua Introne;Robert Laubacher;Gary Olson;Thomas Malone - 通讯作者:
Thomas Malone
When Are Combinations of Humans and AI Useful?
人类和人工智能的结合何时有用?
- DOI:
10.48550/arxiv.2405.06087 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Michelle Vaccaro;Abdullah Almaatouq;Thomas Malone - 通讯作者:
Thomas Malone
Efficacy and Safety of Transcranial Magnetic Stimulation (TMS) for Treatment of Major Depression in Parkinson’s Disease patient with MR-Compatible Deep Brain Stimulation (DBS) Electrodes
经颅磁刺激(TMS)治疗伴有磁共振兼容深部脑刺激(DBS)电极的帕金森病患者重度抑郁症的疗效和安全性
- DOI:
10.1016/j.brs.2024.12.1119 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:8.400
- 作者:
Thomas Malone;Adel Marei;Elizabeth Flock;Alex Walters;Laelle Novotny;Vadim Baram;Julie Leyva;Richard Bucholz - 通讯作者:
Richard Bucholz
Thomas Malone的其他文献
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{{ truncateString('Thomas Malone', 18)}}的其他基金
CyberSEES:Type 2: Collaborative Research: Combining Experts and Crowds to Address Challenging Societal Problems
CyberSEES:类型 2:协作研究:将专家和大众结合起来解决具有挑战性的社会问题
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1442887 - 财政年份:2015
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Standard Grant
VOSS: Collaborative Research: Is Larger Smarter? Investigating the Effect of Group Size on Collective Intelligence
VOSS:协作研究:越大越聪明吗?
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1322254 - 财政年份:2013
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$ 3.6万 - 项目类别:
Standard Grant
EAGER: The Climate CoLab: A System for Very Large-Scale Model-Based Group Problem-Solving
EAGER:气候 CoLab:基于超大规模模型的群体问题解决系统
- 批准号:
1144663 - 财政年份:2011
- 资助金额:
$ 3.6万 - 项目类别:
Standard Grant
SoCS: The Climate Collaboratorium: A Tool for Large-Scale Model-Centric Collective Decision-Making
SoCS:气候合作实验室:以大规模模型为中心的集体决策工具
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0968321 - 财政年份:2010
- 资助金额:
$ 3.6万 - 项目类别:
Standard Grant
Collaborative Research: Measuring Collective Intelligence
合作研究:衡量集体智慧
- 批准号:
0963285 - 财政年份:2010
- 资助金额:
$ 3.6万 - 项目类别:
Standard Grant
Collaborative Researchl: Life, Death and Metabolic Activity in Marine Bacteria: Assessment of Cell-Specific Activity Levels in Marine Systems of Differing Trophic States
合作研究:海洋细菌的生命、死亡和代谢活性:不同营养状态海洋系统中细胞特异性活性水平的评估
- 批准号:
0002728 - 财政年份:2000
- 资助金额:
$ 3.6万 - 项目类别:
Continuing Grant
Purchase of a Flow Cytometer for the Large-scale Assessment of Biogenic Particles in Estuarine and Coastal Systems
购买流式细胞仪用于大规模评估河口和沿海系统中的生物颗粒
- 批准号:
9713924 - 财政年份:1998
- 资助金额:
$ 3.6万 - 项目类别:
Standard Grant
A Systematic Repository of Conflict Management Expertise for Collaborative Design
用于协作设计的冲突管理专业知识的系统存储库
- 批准号:
9803251 - 财政年份:1998
- 资助金额:
$ 3.6万 - 项目类别:
Continuing Grant
Sigma Xi / A*DEC Town Meeting on Reform in Undergraduate Education in Science, Mathematics, Engineering and Technology
Sigma Xi / A*DEC 关于科学、数学、工程和技术本科教育改革的城镇会议
- 批准号:
9707194 - 财政年份:1997
- 资助金额:
$ 3.6万 - 项目类别:
Standard Grant
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