Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter

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Title:Main Title: Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter
Description:Abstract: We explore the potential of using surface soil moisture measurements obtained from different satellite platforms to retrieve soil moisture profiles and soil hydraulic properties using a sequential data assimilation procedure and a 1D mechanistic soil water model. Four different homogeneous soil types were investigated including loamy sand, loam, silt, and clayey soils. The forcing data including precipitation and potential evapotranspiration were taken from the meteorological station of Aachen (Germany). With the aid of the forward model run, a synthetic study was designed and observations were generated. The virtual top soil moisture observations were then assimilated to update the states and hydraulic parameters of the model by means of a Particle Filtering data assimilation method. Our analyses include the effect of assimilation strategy, measurement frequency, accuracy in surface soil moisture measurements, and soils differing in textural and hydraulic properties. With this approach we were able to assess the value of periodic spaceborne observations of top soil moisture for soil moisture profile estimation and identify the adequate conditions (e.g. temporal resolution and measurement accuracy) for remotely sensed soil moisture data assimilation. Updating of both hydraulic parameters and state variables allowed better predictions of top soil moisture contents as compared with updating of states only. An important conclusion is that the assimilation of remotely sensed top soil moisture for soil hydraulic parameter estimation generates a bias depending on the soil type. Results indicate that the ability of a data assimilation system to correct the soil moisture state and estimate hydraulic parameters is a function of pressure head.
Identifier:10.1016/j.jhydrol.2011.01.020 (DOI)
Responsible Party
Creators:Carsten Montzka (Author), Hamid Moradkhani (Author), Lutz Weiherm├╝ller (Author), Harrie-Jan Hendricks-Franssen (Author), Morton Canty (Author), Harry Vereecken (Author)
Publication Year:2013
File Details
Data Type:Text - Article
Size:12 Pages
File Size:2.2 MB
Dates:Accepted: 19.01.2011
Available: 26.01.2011
Mime Type:application/pdf
Data Format:PDF
Download Permission:Only Project Members
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:[TR32DB] Data policy agreement
Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Journal of Hydrology
Source Website:www.elsevier.com/locate/jhydrol
Number of Pages:12 (410 - 421)
Metadata Details
Metadata Creator:Carsten Montzka
Metadata Created:03.12.2013
Metadata Last Updated:03.12.2013
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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