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公司成立的目的是通过将现有概念转化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证明提交的主题。传感器的设计是由OFS&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。该项目设计、建造和测试了DRCP的初始台架原型,以进行可行性研究和对概念的科学和工程进行测试。S和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且广泛的可用高质量数据集,包括云观测的清晰高度覆盖以及整个云层的水滴大小和速度,即使在有雾的情况下也是如此。我们最近完成的创新英国市场验证项目证实了对这一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。使用DRCP数据所带来的天气预报精度的提高将在关键的运输市场提供显著的业务好处。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结冰和雾情况提供早期预警,使他们能够更有效地管理和重新规划服务,以减少延误的影响,减少改道和取消航班的需要。在负重运输部门,对结冰条件的改进预报将更好地为部署道路磨石机的决定提供依据。在这两种情况下,都明显节省了资金,并提高了车辆运营商和出行公众的安全性。
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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