Precipitation and Attenuation Estimates from a High Resolution Weather Radar Network (PATTERN)

高分辨率天气雷达网络 (PATTERN) 的降水和衰减估计

基本信息

批准号：
168167151
负责人：
Professor Dr. Felix Ament
金额：
--
依托单位：
Meteorologisches Institut (MI)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2010
资助国家：
德国
起止时间：
2009-12-31 至 2014-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/168167151?language=en
关键词：
Precipitation Attenuation Estimates Resolution Weather

项目摘要

Recently developed high resolution weather radars (HRWR) are a novel technology to observe precipitation at 60 m and 30 s resolution in space and time. As low cost systems with small antennas, these systems are operated in the X-band frequency range which is affected by attenuation of the radar signal. The project intends to demonstrate a HRWR network can overcome this apparent drawback. In regions, which are covered by more than one radar, it is possible to derive both intrinsic reflectivity and specific attenuation. The relation between specific attenuation and precipitation rate varies less than the commonly used relation between reflectivity and precipitation rate. Specific attenuation as additional observed quantity will likely improve the accuracy of rain rate estimates.The project provides a comprehensive assessment of the potential of networked HRWR both by a practical installation of three HRWR systems at the Meteorological Observatory Lindenberg and idealized, models based studies. Investigations start on a one-dimensional setup along connecting lines of two opposing radar systems. This framework will be used to refine published network retrievals, to develop a new finite element based method and to explore a new technique for radar calibration. As a second step, these methods are expanded to twodimensional scanning geometry. Finally the accuracy of HRWR network retrievals is assessed by a long-term evaluation of the installation at Lindenberg. The potential to use larger HRWR networks on regional scales is explored by a model based observing system simulation experiment (OSSE).

最近开发的高分辨率天气雷达（HRWR）是一项新技术，可在60 m和30 s的时空分辨率下观察降水。作为具有较小天线的低成本系统，这些系统在X波段频率范围内运行，该系统受雷达信号的衰减影响。该项目打算展示HRWR网络可以克服这一明显的缺点。在多个雷达覆盖的区域中，可以既有固有的反射率和特定的衰减。特异性衰减和降水速率之间的关系远小于反射率和降水速率之间常用的关系。特定的衰减是由于观察到的额外数量可能会提高降雨速率估计的准确性。该项目通过在气象观测天文台Lindenberg的三个HRWR系统和理想化的基于模型的研究中实用的三个HRWR系统，对网络HRWR的潜力进行了全面评估。调查始于沿两个相对雷达系统的连接线的一维设置。该框架将用于完善已发布的网络检索，以开发一种新的有限元方法并探索一种用于雷达校准的新技术。作为第二步，这些方法将扩展到二维扫描几何形状。最后，通过对Lindenberg安装的长期评估来评估HRWR网络检索的准确性。基于模型的观察系统仿真实验（OSSE）探索了在区域尺度上使用较大HRWR网络的潜力。