TR32-Database: Database of Transregio 32

[697] - Spatial horizontal correlation characteristics in the land data assimilation of soil moisture

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Features
Citation
Han, X., Li, X., Hendricks-Franssen, H., Vereecken, H., Montzka, C., 2012. Spatial horizontal correlation characteristics in the land data assimilation of soil moisture. Hydrology and Earth System Sciences, 16, 1349 - 1363. DOI: 10.5194/hess-16-1349-2012.
Identification
Title(s):Main Title: Spatial horizontal correlation characteristics in the land data assimilation of soil moisture
Description(s):Abstract: Remote sensing images deliver important information about soil moisture, but often cover only part of an area, for example due to the presence of clouds or vegetation. This paper examines the potential of incorporating the spatial horizontal correlation characteristics of surface soil moisture observations in land data assimilation in order to obtain improved estimates of soil moisture at uncovered grid cells (i.e. grid cells without observations). Observing system simulation experiments were carried out to assimilate the synthetic surface soil moisture observations into the Community Land Model for the Babaohe River Basin in northwestern China. The estimation of soil moisture at the uncovered grid cells was improved when information about surrounding observations and their spatial correlation structure was included. Including an increasing number of observations for covered and uncovered grid cells in the assimilation procedure led to a better prediction of soil moisture with an upper limit of five observations. A further increase of the number of observations did not further improve the results for this specific case. High observational coverage resulted in a better assimilation performance, depending also on the spatial distribution of observation data. In summary, the spatial horizontal correlation structure of soil moisture was found to be helpful for improving the surface soil moisture data characterization, especially for uncovered grid cells.
Identifier(s):DOI: 10.5194/hess-16-1349-2012
Responsible Party
Creator(s):Author: Xujun Han
Author: Xin Li
Author: Harrie-Jan Hendricks-Franssen
Author: Harry Vereecken
Author: Carsten Montzka
Publisher:European Geosciences Union
Topic
TR32 Topic:Soil
Subject(s):CRC/TR32 Keywords: Soil Moisture, Data Assimilation, Remote Sensing
File Details
File Name:2012_Han_HESS.pdf
Data Type:Text
Size(s):15 Pages
File Size:2258 kB (2.205 MB)
Date(s):Date Accepted: 2012-04-27
Issued: 2012-05-10
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:Hydrology and Earth System Sciences
Volume:16
Number Of Pages:15
Page Range:1349 - 1363
Metadata Details
Metadata Creator:Harrie-Jan Hendricks-Franssen
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Subproject:C6
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:129
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity
Features