An Integrated Method of Multiradar Quantitative Precipitation Estimation Based on Cloud Classification and Dynamic Error Analysis
Joint Authors
Huang, Yong
Liu, Huijuan
Yao, Yun
Ni, Ting
Feng, Yan
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-05
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Relationships between radar reflectivity factor and rainfall are different in various precipitation cloud systems.
In this study, the cloud systems are firstly classified into five categories with radar and satellite data to improve radar quantitative precipitation estimation (QPE) algorithm.
Secondly, the errors of multiradar QPE algorithms are assumed to be different in convective and stratiform clouds.
The QPE data are then derived with methods of Z-R, Kalman filter (KF), optimum interpolation (OI), Kalman filter plus optimum interpolation (KFOI), and average calibration (AC) based on error analysis on the Huaihe River Basin.
In the case of flood on the early of July 2007, the KFOI is applied to obtain the QPE product.
Applications show that the KFOI can improve precision of estimating precipitation for multiple precipitation types.
American Psychological Association (APA)
Huang, Yong& Liu, Huijuan& Yao, Yun& Ni, Ting& Feng, Yan. 2017. An Integrated Method of Multiradar Quantitative Precipitation Estimation Based on Cloud Classification and Dynamic Error Analysis. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1122511
Modern Language Association (MLA)
Huang, Yong…[et al.]. An Integrated Method of Multiradar Quantitative Precipitation Estimation Based on Cloud Classification and Dynamic Error Analysis. Advances in Meteorology No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1122511
American Medical Association (AMA)
Huang, Yong& Liu, Huijuan& Yao, Yun& Ni, Ting& Feng, Yan. An Integrated Method of Multiradar Quantitative Precipitation Estimation Based on Cloud Classification and Dynamic Error Analysis. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1122511
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122511