STTR Phase I:Constellation of Nanosatellite Radars for Near-Hourly, Global Ocean Surface Vector Winds
STTR 第一阶段:近每小时全球海洋表面矢量风的纳米卫星雷达星座
基本信息
- 批准号:2304609
- 负责人:
- 金额:$ 27.49万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-03-01 至 2024-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is a significant improvement in the accuracy of weather forecasts by increasing the refresh rate of sea wind measurements ten-fold. This forecast improvement will increase the economic competitiveness of the United States by improving efficiency in maritime, agriculture, and logistics industries. Improved weather forecasts will advance the health and welfare of the American public by enabling earlier storm warnings that save thousands of lives. Improved weather forecasts will support national defense, while also saving hundreds of millions of dollars in false-alarm hurricane evacuations. Sea wind data will also directly benefit maritime operators, including recreational sailors, ocean carriers and fishers. Wind map and forecast subscriptions from maritime customers represent a $3 billion commercial opportunity.This STTR Phase I project proposes to study the feasibility of increasing the refresh rate of sea wind measurements ten-fold using a constellation of nanosatellite radars (scatterometers). Current satellites for measuring sea winds are prohibitively expensive and performance has not substantially improved since they were introduced decades ago. The objective of this research is to evaluate the measurement accuracy, cost, and refresh rate of the proposed nanosatellite scatterometers. Additional objectives study the regulatory feasibility, post-processing feasibility, and commercial feasibility. The research includes calculations of the radar signal, heat, data geolocation, cost, mass, data rate, latency, radio interference, and license feasibility. The research also includes simulations of the radar measurement geometry, the post-processing, the wind maps that will be generated by the scatterometer, as well as the constellation, its operations, and its replenishment requirements. The studies in this project answer key feasibility and performance questions posed by potential users. The results, such as data quality, availability, and simulated sample data, will be used in customer discovery to ensure the needs of potential users are met.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.
该小型企业技术转让 (STTR) 第一阶段项目的更广泛影响/商业潜力是,通过将海风测量的刷新率提高十倍,显着提高天气预报的准确性。这一预测的改善将通过提高海事、农业和物流业的效率来提高美国的经济竞争力。改进的天气预报将通过提前发出风暴警报来拯救数千人的生命,从而促进美国公众的健康和福祉。 改进的天气预报将支持国防,同时还可以在飓风误报疏散中节省数亿美元。海风数据还将直接使海事运营商受益,包括休闲水手、远洋承运人和渔民。海事客户的风图和预报订阅代表了 30 亿美元的商业机会。 STTR 第一阶段项目建议研究使用纳米卫星雷达(散射仪)星座将海风测量刷新率提高十倍的可行性。目前用于测量海风的卫星价格昂贵,而且自几十年前推出以来性能并未得到实质性改善。本研究的目的是评估所提出的纳米卫星散射仪的测量精度、成本和刷新率。其他目标研究监管可行性、后处理可行性和商业可行性。该研究包括雷达信号、热量、数据地理位置、成本、质量、数据速率、延迟、无线电干扰和许可可行性的计算。该研究还包括对雷达测量几何、后处理、散射仪生成的风图以及星座、其操作和补给要求的模拟。该项目的研究回答了潜在用户提出的关键可行性和性能问题。数据质量、可用性和模拟样本数据等结果将用于客户发现,以确保满足潜在用户的需求。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力评估进行评估,认为值得支持。优点和更广泛的影响审查标准。
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)
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Michael Walton其他文献
An impact evaluation of information disclosure on elected representatives’ performance: Evidence from rural and urban India
信息披露对民选代表表现的影响评估:来自印度农村和城市的证据
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
A. Banerjee;E. Duflo;Clément A. C. Imbert;R. Pande;Michael Walton;B. P. Mohapatra - 通讯作者:
B. P. Mohapatra
Improving end-of-life care for patients with chronic heart failure: “Let’s hope it’ll get better, when I know in my heart of hearts it won’t”
改善慢性心力衰竭患者的临终关怀:“让我们希望情况会好起来,但我内心深处知道情况不会好转”
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:5.7
- 作者:
L. Selman;R. Harding;T. Beynon;F. Hodson;E. Coady;Caroline Hazeldine;Michael Walton;L. Gibbs;I. Higginson - 通讯作者:
I. Higginson
Guidebook for Identifying, Measuring and Mitigating Environmental Justice Impacts of Toll Roads
识别、衡量和减轻收费公路环境正义影响指南
- DOI:
- 发表时间:
2006-09-01 - 期刊:
- 影响因子:0
- 作者:
J. Prozzi;Isabel Victoria;Gerald Torres;Michael Walton;J. Prozzi - 通讯作者:
J. Prozzi
Embodiment Adaptation from Interactive Trajectory Preferences
交互式轨迹偏好的实施例适应
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Michael Walton;Benjamin Migliori;J. Reeder - 通讯作者:
J. Reeder
Intention-based Behavioral Anomaly Detection
基于意图的行为异常检测
- DOI:
- 发表时间:
1970-01-01 - 期刊:
- 影响因子:0
- 作者:
Fan Hung;Xu Xie;Andrew Fuchs;Michael Walton;Siyuan Qi;Yixin Zhu;Doug Lange;Song - 通讯作者:
Song
Michael Walton的其他文献
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