Proof of Concept: Semiconductor based Doppler Radar Cloud Profiler (DRCP)
Proof of Concept: Semiconductor based Doppler Radar Cloud Profiler (DRCP)
批准号:
710852
负责人:
金额:
$12.74万
依托单位:
依托单位国家:
英国
项目类别:
GRD Proof of Concept
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
S&AO有限公司的成立旨在通过将现有概念发展为世界领先的技术和解决方案,重塑大气遥感市场。目前的设计组合包括雷达风廓线仪、闪电探测解决方案和多普勒雷达云廓线仪,这是本次创新英国概念验证提交的主题。这些传感器的设计是由s&ao的创始人Dirk Klugmann博士开发的,他是国际公认的大气观测领域的专家。本项目设计、建造和测试DRCP的初始台架原型,以进行可行性研究,并测试该概念的科学和工程。S&AO还将寻求通过专利保护其知识产权。如果成功,DRCP将首次提供具有成本效益的、广泛的、有价值的、高质量的数据集,这些数据集包括云观测的无遮挡高度覆盖范围,以及整个云层中的水滴大小和速度,即使在有雾的情况下也是如此。我们最近完成的Innovate UK Proof of Market项目证实了对这种新的、无处不在的数据集的需求,这将使气象和气候科学家能够增强他们现有的大气模型,并创建新的模型。DRCP数据的使用将提高天气预报的准确性,这将为主要运输市场提供显著的运营效益。对于航空公司和机场运营商来说,更及时和准确的预报将为即将到来的冰和雾提供早期预警,使他们能够更有效地管理和重新规划他们的服务,以减少延误的影响,减少备降和取消航班的需要。在道路运输领域,改善结冰状况的预测将更好地为部署道路磨砂机的决策提供信息。在这两种情况下,都明显节省了资金,并提高了车辆操作员和旅行公众的安全性。
英文摘要
S&AO Limited was established to reinvent the market for atmospheric remote sensing bydeveloping existing concepts into world leading technology and solutions. The currentportfolio of designs includes a Radar Wind Profiler, a Lightning Detection Solution, and theDoppler Radar Cloud Profiler, which is the subject of this Innovate UK Proof of Conceptsubmission. The sensor designs have been developed by Dr Dirk Klugmann, the founder ofS&AO, who is an internationally recognised expert in the field of atmospheric observations.This project designs, builds and tests an initial bench prototype of the DRCP to carry outfeasibility studies and test the science and engineering of the concept. S&AO will also look toprotect its intellectual property with a patent.If successful, the DRCP will provide for the first time cost-effective yet extensive access to avaluable, high quality data set of unobscured height coverage of cloud observations as well aswater droplet sizes and velocities throughout layers of cloud, even in the presence of fog. Ourrecently completed Innovate UK Proof of Market project confirmed the demand for this newand ubiquitous data-set which will enable meteorological and climate scientists to bothenhance their existing atmospheric models and create new models.The improved weather forecast accuracy that will result from the use of DRCP data willprovide significant operational benefits in key transportation markets. For airlines and airportoperators, more timely and accurate forecasts will provide an early warning of impendingicing and fog conditions allowing them to more efficiently manage and re-plan their servicesto reduce the impact of delays and reduce the need for diversions and cancellations. In theroad transport sector, improved forecasts of icing conditions will better inform the decision todeploy road gritters. In both cases there are clear financial savings and increased safety for thevehicle operators and the travelling public.
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