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Development of method for X-band weather radar calibration

机译：X波段天气雷达标定方法的发展

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Calibration of the X-band LAWR (Local Area Weather Radar) is traditionally based on an assumed linear relation between the LAWR radar output and the rainfall intensity. However, closer inspection of the data reveal that the validity of this linear assumption is doubtful. Previous studies of this type of weather radar have also illustrated that the radar commonly has difficulties in estimating high rain rates. Therefore, a new radar-rainfall transformation model and a calibration method have been developed. The new method is based on nonlinear assumptions and is aimed at describing the whole range of rain intensities in a more comprehensive way for the LAWR system. The new proposed calibration method improves the LAWR QPE (quantitative precipitation estimate) accuracy by reducing bias and describing the temporal dynamics better for the vast majority of the observed rainfall. However, in heavy rainfall, the LAWR system still faces significant challenges in measuring the peak intensities accurately.
机译：传统上，对X波段LAWR（局域天气雷达）的校准是基于LAWR雷达输出与降雨强度之间的假定线性关系。但是，对数据的仔细检查表明，这种线性假设的有效性令人怀疑。对这种类型的天气雷达的先前研究还表明，该雷达通常在估算高降雨率方面存在困难。因此，开发了一种新的雷达-雨量转换模型和校准方法。该新方法基于非线性假设，旨在以更全面的方式描述LAWR系统的整个降雨强度范围。新提出的校准方法可通过减少偏差并更好地描述绝大多数观测降雨的时间动态来提高LAWR QPE（定量降水估计）的准确性。但是，在大雨中，LAWR系统在准确测量峰值强度方面仍然面临重大挑战。

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