Characteristic Features of the Evolution of a Meiyu Frontal Rainstorm with Doppler Radar Data Assimilation
During the Meiyu period, floods are prone to occur in the middle and lower reaches of the Yangtze River because of the highly concentrated and heavy rainfall, which caused huge life and economic losses. Based on numerical simulation by assimilating Doppler radar, radiosonde, and surface meteorologic...
Saved in:
| Main Authors: | Hongli Li, Yang Hu, Zhimin Zhou, Juxiang Peng, Xiangde Xu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2018/9802360 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assimilation of Doppler Radar Data and Its Impact on Prediction of a Heavy Meiyu Frontal Rainfall Event
by: Hongli Li, et al.
Published: (2018-01-01) -
Improved Doppler Velocity Dealiasing for Radar Data Assimilation and Storm-Scale Vortex Detection
by: Qin Xu, et al.
Published: (2013-01-01) -
Impact of Assimilating Microwave Radiance Data on Forecast of "23·7" Extreme Rainstorm in North China
by: Zhong Peiwen, et al.
Published: (2025-03-01) -
Assimilation of Chinese Doppler Radar and Lightning Data Using WRF-GSI: A Case Study of Mesoscale Convective System
by: Yi Yang, et al.
Published: (2015-01-01) -
The Impacts of Assimilating Radar Reflectivity for the Analysis and Forecast of “21.7” Henan Extreme Rainstorm Within the Gridpoint Statistical Interpolation–Ensemble Kalman Filter System: Issues with Updating Model State Variables
by: Aiqing Shu, et al.
Published: (2025-01-01)