Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation
Precipitation is the core data input to hydrological forecasting. The uncertainty in precipitation forecast data can lead to poor performance of predictive hydrological models. Radar-based precipitation measurement offers advantages over ground-based measurement in the quantitative estimation of tem...
Saved in:
Main Authors: | Xinchi Chen, Liping Zhang, Christopher James Gippel, Lijie Shan, Shaodan Chen, Wei Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2016/2710457 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Response of Extreme Hydrological Events to Climate Change in the Water Source Area for the Middle Route of South-to-North Water Diversion Project
by: Wei Yang, et al.
Published: (2016-01-01) -
Modeling Uncertainty in Flood Forecasting Systems
by: Issac Elishakoff
Published: (2006-01-01) -
Storm-Scale Radar Data Assimilation and High Resolution NWP
by: Jidong Gao, et al.
Published: (2014-01-01) -
Assessing the Uncertainty Associated with Flood Features due to Variability of Rainfall and Hydrological Parameters
by: Ahmad Sharafati, et al.
Published: (2020-01-01) -
Forecasting of Surface Currents via Correcting Wind Stress with Assimilation of High-Frequency Radar Data in a Three-Dimensional Model
by: Lei Ren, et al.
Published: (2016-01-01)