TR32-Database: Database of Transregio 32

[716] - Improved regional hydrologic modelling by assimilation of streamflow data into a regional hydrologic model

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

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Citation
Liu, S., Shao, Y., Yang, C., Lin, Z., Li, M., 2012. Improved regional hydrologic modelling by assimilation of streamflow data into a regional hydrologic model. Environmental Modelling & Software, 31, 141 - 149. DOI: 10.1016/j.envsoft.2011.12.005.
Identification
Title(s):Main Title: Improved regional hydrologic modelling by assimilation of streamflow data into a regional hydrologic model
Description(s):Abstract: River streamflow is closely related to the surface runoff over a river basin. It is a quantity which can be measured with relatively high accuracy. In regional hydrologic models, surface runoff is usually calculated as the residuum of the surface water balance equation and is one of the most uncertain model outputs, especially for mountainous areas. In this paper, we propose a simple method within the framework of a regional hydrologic modelling system (RHMS), which integrates a hydrologic model and a land surface model, to constrain the estimates of surface runoff through progressive assimilation of observed streamflow data based on the channel flow equation. The proposed method is applied to a subbasin of the Huaihe River Basin in East China, and numerical experiments are carried out to test the effectiveness of successively (from upstream to downstream) assimilating the streamflow data collected at three hydrological stations to RHMS. It is found that with the assimilation, the timing and magnitudes of the modelled flood peaks are much improved and the correction of surface runoff is substantial. The numerical results demonstrate the usefulness of the new method in improving the RHMS runoffstreamflow simulation as well as providing better initial conditions (e.g. channel water heights) for flood forecasting.
Identifier(s):DOI: 10.1016/j.envsoft.2011.12.005
Responsible Party
Creator(s):Author: Shaofeng Liu
Author: Yaping Shao
Author: Chuanguo Yang
Author: Zhaohui Lin
Author: Min Li
Publisher:Elsevier B.V
Topic
TR32 Topic:Other
Subject(s):CRC/TR32 Keywords: Surface Runoff, Streamflow, Regional Hydrologic Modelling, Flood Forecasting, Data Assimilation
File Details
File Name:2012_Liu_EMS.pdf
Data Type:Text
Size(s):9 Pages
File Size:1184 kB (1.156 MB)
Date(s):Date Accepted: 2011-12-20
Issued: 2012-01-09
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:Other
Measurement Location:--Other--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2012
Type:Article
Article Type:Journal
Source:Environmental Modelling & Software
Volume:31
Number Of Pages:9
Page Range:141 - 149
Metadata Details
Metadata Creator:Shaofeng Liu
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Subproject:D6
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:136
Metadata Downloads:0
Dataset Downloads:5
Dataset Activity
Features