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Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation
Joint Authors
Huang, Yong
Ren, Jing
Guan, Li
Zhou, Jie
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ren, Jing& Huang, Yong& Guan, Li& Zhou, Jie. 2017. Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1122499
Modern Language Association (MLA)
Ren, Jing…[et al.]. Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation. Advances in Meteorology No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1122499
American Medical Association (AMA)
Ren, Jing& Huang, Yong& Guan, Li& Zhou, Jie. Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1122499
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122499