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Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification
Joint Authors
Yang, Yi
Yang, Lili
Liu, Peng
Wang, Lina
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-24
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
A method for improving radar-derived quantitative precipitation estimation is proposed.
Tropical vertical profiles of reflectivity (VPRs) are first determined from multiple VPRs.
Upon identifying a tropical VPR, the event can be further classified as either tropical-stratiform or tropical-convective rainfall by a fuzzy logic (FL) algorithm.
Based on the precipitation-type fields, the reflectivity values are converted into rainfall rate using a Z-R relationship.
In order to evaluate the performance of this rainfall classification scheme, three experiments were conducted using three months of data and two study cases.
In Experiment I, the Weather Surveillance Radar-1988 Doppler (WSR-88D) default Z-R relationship was applied.
In Experiment II, the precipitation regime was separated into convective and stratiform rainfall using the FL algorithm, and corresponding Z-R relationships were used.
In Experiment III, the precipitation regime was separated into convective, stratiform, and tropical rainfall, and the corresponding Z-R relationships were applied.
The results show that the rainfall rates obtained from all three experiments match closely with the gauge observations, although Experiment II could solve the underestimation, when compared to Experiment I.
Experiment III significantly reduced this underestimation and generated the most accurate radar estimates of rain rate among the three experiments.
American Psychological Association (APA)
Yang, Lili& Yang, Yi& Liu, Peng& Wang, Lina. 2016. Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1095394
Modern Language Association (MLA)
Yang, Lili…[et al.]. Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification. Advances in Meteorology No. 2016 (2016), pp.1-16.
https://search.emarefa.net/detail/BIM-1095394
American Medical Association (AMA)
Yang, Lili& Yang, Yi& Liu, Peng& Wang, Lina. Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1095394
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095394