A terrain-based weighted random forests method for radar quantitative precipitation estimation-Reference-Cited by-同舟云学术

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A terrain-based weighted random forests method for radar quantitative precipitation estimation

Published:2017-05-03 Issue:3 Volume:24 Page:404-414
ISSN:1350-4827
Container-title:Meteorological Applications
language:en
Short-container-title:Met. Apps

Author:

Yang Xuebing¹²,Kuang Qiuming¹²,Zhang Wensheng¹²,Zhang Guoping³

Affiliation:

1. Research Centre of Precision Sensing and Control, Institute of Automation; Chinese Academy of Sciences; Beijing China

2. School of Computer and Control Engineering; University of Chinese Academy of Sciences; Beijing China

3. Public Meteorological Service Centre; China Meteorological Administration; Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Atmospheric Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/met.1638/fullpdf

Reference45 articles.

1. Identification of vertical profiles of radar reflectivity for hydrological applications using an inverse method. Part I: formulation;Andrieu;J. Appl. Meteorol.,1995

2. Random forests;Breiman;Mach. Learn.,2001

3. Rainfall estimation with an operational polarimetric C-band radar in the United Kingdom: comparison with a gauge network and error analysis;Bringi;J. Hydrometeorol.,2011

4. Towards a nonlinear radar-gauge adjustment of radar via a piece-wise method;Bruen;Meteorol. Appl.,2014

5. Empirical conversion of the vertical profile of reflectivity from Ku-band to S-band frequency;Cao;J. Geophys. Res. Atmos.,2013

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