Estimation of areal precipittion by polarimetric weather radar
利用极化天气雷达估算区域降水量
基本信息
- 批准号:5448369
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2005
- 资助国家:德国
- 起止时间:2004-12-31 至 2010-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The main goal of this proposal is to provide algorithms which are able to retrieve areal rain amounts from measurements by a polarimetric Doppler weather radar operating at C-band. Studies show that under certain conditions, e.g. tropical rain or at S-band, polarimetric radar estimates have advantages compared to measurements with a conventional weather radar. To reach this goal knowledge of the raindrop size distribution (RDSD) is necessary. It is also of essential importance to know about the apparent shape of raindrops. Observations with the DLR polarimetric Doppler radar will be used to develop techniques for estimating the RDSD by radar measurements. In co-operation with measurements of drop shapes in a vertical wind tunnel (AQUA-Radar-F, Mainz) a parameterization of the apparent drop shape will be developed. A special observation period (SOP) near Oberpfaffenhofen will be organized together with the other AQUARadar partners and provide data sets which will be used for the evaluation of the algorithms. The degree to which the developed algorithms can be used by envisaged operational polarimetric weather radar systems of the DWD will also be investigated.
这项建议的主要目标是提供算法,能够检索面雨量的测量偏振多普勒天气雷达在C波段工作。研究表明,在某些条件下,例如热带雨或S波段,偏振雷达的估计比传统天气雷达的测量更有优势。为了达到这一目标,雨滴尺寸分布(RDSD)的知识是必要的。了解雨滴的外观形状也是至关重要的。德国航空航天中心偏振多普勒雷达的观测将用于开发通过雷达测量估算RDSD的技术。与垂直风洞(AQUA-Radar-F,Mainz)中的液滴形状测量合作,将开发表观液滴形状的参数化。Oberpfaffenhofen附近的特殊观察期(SOP)将与其他AQUARadar合作伙伴一起组织,并提供用于评估算法的数据集。在何种程度上开发的算法可以使用设想的业务偏振天气雷达系统的DWD也将进行调查。
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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Dr. Martin Hagen其他文献
Dr. Martin Hagen的其他文献
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{{ truncateString('Dr. Martin Hagen', 18)}}的其他基金
Evaluation of the life cycle of deep convection over mountainous terrain using radar, lidar and lightning observations
利用雷达、激光雷达和闪电观测评估山区深层对流的生命周期
- 批准号:
72066299 - 财政年份:2008
- 资助金额:
-- - 项目类别:
Priority Programmes
TOSCA: Development of an optimal estimation technique to profile snowing and thick ice clouds by exploiting a suite of active and passive microwave (PHW) sensors in two configurations by coupling detailed microphysical and electromagnetic models of ice cl
TOSCA:通过耦合冰层的详细微物理和电磁模型,利用两种配置的一套主动和被动微波 (PHW) 传感器,开发一种最佳估计技术来描绘降雪和厚冰云。
- 批准号:
35224719 - 财政年份:2007
- 资助金额:
-- - 项目类别:
Research Grants
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