Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation

Author:

Ren Jing123ORCID,Huang Yong13ORCID,Guan Li2,Zhou Jie123

Affiliation:

1. Key Laboratory of Atmospheric Sciences and Satellite Remote Sensing of Anhui Province, Anhui Meteorology Institute, Hefei 230031, China

2. Nanjing University of Information Science & Technology, Nanjing 210044, China

3. Shouxian Climatology Observatory, Shouxian 232200, China

Abstract

We discuss two different integration methods for radar-based quantitative precipitation estimation (QPE): the echo intensity integral and the rain intensity integral. Theoretical analyses and simulations were used to test differences between these two methods. Cumulative rainfall calculated by the echo intensity integral is usually greater than that from rain intensity integral. The difference of calculated precipitation using these two methods is generally smaller for stable precipitation systems and larger for unstable precipitation systems. If the echo intensity signal is sinusoidal, the discrepancy between the two methods is most significant. For stratiform and convective precipitation, the normalized error ranges from −0.138 to −0.15 and from −0.11 to −0.122, respectively. If the echo intensity signal is linear, the normalized error ranges from 0 to −0.13 and from 0 to −0.11, respectively. If the echo intensity signal is exponential, the normalized error ranges from 0 to −0.35 and from 0 to −0.30, respectively. When both the integration scheme and real radar data were used to estimate cumulative precipitation for one day, their spatial distributions were similar.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Atmospheric Science,Pollution,Geophysics

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