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Physics-based QPE using polarimetric radars and commercial microwave links

Physics-based QPE using polarimetric radars and commercial microwave links
使用偏振雷达和商用微波链路的基于物理的 QPE
批准号:
404444033
负责人:
Dr. Christian Chwala
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Units
财政年份:
--
资助国家:
德国
项目状态:
未结题
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中文摘要
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英文摘要
The core objective of P1 is a most accurate and reliable near-real time quantitative precipitation estimation (QPE). The estimate will be primarily based on observations from a network of polarimetric radars and attenuation measurements of commercial microwave links (CMLs), which provide the backhaul of countrywide cell phone networks. We will improve, newly develop and evaluate novel, generally applicable methods and apply them to observations of the recently fully upgraded dual-polarization C-band radar network of the German national weather service (DWD) and of a CML subnet operated by Ericsson Germany. QPE for liquid precipitation will be based on specific attenuation R(A) following a method co-developed by the applicants and already successfully applied to S- and X-band radars. The method will be adapted, transferred to and optimized for DWDs radar network. For improving QPE for mixed-phase precipitation, we will exploit polarimetry for hydrometeor classification and develop new polarimetric methods for the quantification of snow fall intensity. To improve QPE at distances far away from the radars, we will develop the first polarimetric correction method for vertical reflectivity profiles, which will significantly improve QPE in regions with measurements only within and above the melting layer. Finally, we will further improve polarimetry-based QPE by a new synergistic approach pioneered by the proposers for exploiting a nationwide CML network to which we have real-time access. This approach will not only increase QPE quality in Germany, but also strengthen our processing tools for the derivation of rainfall information from CMLs alone, which is necessary when employing this emerging technique in the absence of weather radar information like in developing countries.
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Spatial rainfall estimates using improved observationsfrom commercial microwave links and statistical data fusion
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