The influence of erroneous background, beam-blocking and microphysical non-linearity on the application of a four-dimensional variational Doppler radar data assimilation system for quantitative precipitation forecasts-Reference-Cited by-同舟云学术

The influence of erroneous background, beam-blocking and microphysical non-linearity on the application of a four-dimensional variational Doppler radar data assimilation system for quantitative precipitation forecasts

Published:2014-03-05 Issue:2 Volume:21 Page:444-458
ISSN:1350-4827
Container-title:Meteorological Applications
language:en
Short-container-title:Met. Apps

Author:

Chang Shao-Fan¹,Sun Juanzhen²,Liou Yu-Chieng¹,Tai Sheng-Lun¹,Yang Ching-Yu¹

Affiliation:

1. Department of Atmospheric Sciences; National Central University; Jhongli City Taiwan

2. Research Applications Laboratory; National Center for Atmospheric Research; Boulder CO USA

Publisher

Wiley

Subject

Atmospheric Science

Reference36 articles.

1. A technique for maximizing details in numerical map analysis;Barnes;J. Appl. Meteorol.,1964

2. Short term forecasting of a midlatitude convective storm by the assimilation of single-Doppler radar observations;Chung;Mon. Weather Rev.,2009

3. Numerical simulations initialized with radar-derived winds. Part I: Simulated data experiments;Crook;Mon. Weather Rev.,1994

4. Assimilating radar, surface, and profiler data for the Sydney 2000 forecast demonstration project;Crook;J. Atmos. Oceanic Tech.,2002

5. Numerical simulations initialized with radar-derived winds. Part II: Forecasts of three gust-front cases;Crook;Mon. Weather Rev.,1994

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Roles of Surface Convergence Line and Upper‐Level Forcing on Convection Initiation Ahead of a Gust Front: A Case Study;Journal of Geophysical Research: Atmospheres;2023-01-28

2. Impact of Assimilating Radar Data with 3D Thermodynamic Fields in an Ensemble Kalman Filter: Proof of Concept and Feasibility;Monthly Weather Review;2022-12

3. Assimilating Retrieved Water Vapor and Radar Data from NCAR S-PolKa: Performance and Validation Using Real Cases;Monthly Weather Review;2022-05

4. Assimilation of no-precipitation observations from Doppler radar with 4DVar and its impact on summertime convective event prediction;Atmospheric Research;2021-08

5. Impact of radar data assimilation on a squall line over the Yangtze–Huaihe River Basin with a radar reflectivity operator accounting for ice‐phase hydrometeors;Meteorological Applications;2021-03