Abstract

An X-band dual-polarization radar (XPRAD) was deployed in Guangdong province as part of the Southern China Monsoon Rainfall Experiment (SCMREX) during the storm season in 2016. This paper presents a comprehensive assessment of XPRAD observations during SCMREX with emphasis on data processing and rainfall products. The differential phase-based attenuation correction and radar calibration using self-consistency of dual-polarization observables are presented. It is found that the standard deviation of the Z d r bias is less than 0.2 dB based on ‘light rain at low angle’ and ‘dry aggregate snow’ observations. Cross-comparison with two standard S-band China New Generation Weather Radars (CINRAD) shows that the bias of Z h has a mean value less than 1.5 dBZ and a standard deviation less than 0.5 dBZ. In addition, fifteen rainfall events that occurred during the intensive observing period (IOP) are analyzed to demonstrate the rainfall estimation performance of XPRAD. In particular, rainfall accumulations at 1-, 2- and 3-h scales derived using R( K d p ) and R( Z h , Z d r ) relations are evaluated using national level rain gauge data and CINRAD-based rainfall estimation. The results show that both R( K d p )- and R( Z h , Z d r )-based products agree well with the rain gauge observations and CINRAD estimation. The difference between R ( K d p ) and R ( Z h , Z d r ) is not significant, although R ( K d p ) shows slightly better performance than R ( Z h , Z d r ) .

Highlights

  • Heavy rainfall annually occurs from mid-April to mid-June in southern China, often inducing flooding and geological disasters, causing devastating property damage and loss of life

  • (WWRP), the China Meteorological Administration (CMA) has initiated the Southern China Monsoon Rainfall Experiment (SCMREX) field (WWRP), the China Meteorological Administration (CMA) has initiated the SCMREX field experiment experiment to facilitate the efforts in improving QPE/QPF during the pre-summer rainy season in to facilitate the efforts in improving QPE/QPF during the pre-summer rainy season in southern China

  • The X-band X-band dual-polarization radar (XPRAD) radar is deployed as part of the integrated observing network

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Summary

Introduction

Heavy rainfall annually occurs from mid-April to mid-June in southern China, often inducing flooding and geological disasters, causing devastating property damage and loss of life. Adp. This article utilizes the drop size distribution (DSD) data captured during SCMREX to derive the polarimetric observables with the T-matrix method at the X-band frequency [16], and regresses the nonlinear relationship of Ah − Kdp and Adp − Ah. Before applying any rainfall estimate algorithm, system bias errors in Zh and Zdr must be evaluated. There are two S-band radars near the XPRAD between the rainfall rate and polarized variables are used to estimate rainfall accumulation and radar This is performed to compare reflectivity from the common radial coverage between the compare XPRAD with rain radar rainfall andgauge.

The main findings thiscapture paper arecomposite summarizedhigh in Section
Raindrop Model and Polarimetric Radar Observables Simulation
D Chuang
Specific Differential Phase-Based Attenuation Correction
Thecoefficient correlation coefficient between and
Zdr Bias
Vertical
Zh Bias Assessment
Reflectivity comparisons in common radialradial coverage between
Rainfall Algorithms
Performance Evaluation
Findings
Summary and Conclusions
Full Text
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