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Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation
- Source :
- Advances in Meteorology, Vol 2017 (2017)
- Publication Year :
- 2017
- Publisher :
- Hindawi Limited, 2017.
-
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.
- Subjects :
- Atmospheric Science
Quantitative precipitation estimation
Article Subject
010504 meteorology & atmospheric sciences
0208 environmental biotechnology
02 engineering and technology
lcsh:QC851-999
01 natural sciences
Pollution
Signal
020801 environmental engineering
Exponential function
law.invention
Geophysics
Geography
law
lcsh:Meteorology. Climatology
Weather radar
Precipitation
Radar
0105 earth and related environmental sciences
Echo intensity
Remote sensing
Convective precipitation
Subjects
Details
- ISSN :
- 16879317 and 16879309
- Volume :
- 2017
- Database :
- OpenAIRE
- Journal :
- Advances in Meteorology
- Accession number :
- edsair.doi.dedup.....c8ce754052b3fa97eba7cfa825dded7e