TR32-Database: Database of Transregio 32

[793] - A variational data assimilation system for soil–atmosphere flux estimates for the Community Land Model (CLM3.5)

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Features
Citation
Hoppe, C. M., Elbern, H., Schwinger, J., 2014. A variational data assimilation system for soil–atmosphere flux estimates for the Community Land Model (CLM3.5). Geoscientific Model Development, 7, 1025 - 1036. DOI: 10.5194/gmd-7-1025-2014.
Identification
Title(s):Main Title: A variational data assimilation system for soil–atmosphere flux estimates for the Community Land Model (CLM3.5)
Description(s):Abstract: This article presents the development and implementation of a spatio–temporal variational data assimilation system (4D-var) for the soil-vegetation-atmosphere-transfer model ’Community Land Model’ (CLM3.5), along with the development of the adjoint code for the core soil-atmosphere transfer scheme of energy and soil moisture. The purpose of this work is to obtain an improved estimation technique for the energy fluxes (sensible and latent heat fluxes) between the soil and the atmosphere. Optimal assessments of these fluxes are neither available from model simulations nor measurements alone, while a 4D-Var data assimilation has the potential to combine both information sources by a Best Linear Unbiased Estimate (BLUE). The 4D-Var method requires the development of the adjoint model of the CLM which was established in this work. The new data assimilation algorithm is able to assimilate soil temperature and soil moisture measurements for one dimensional columns of the model grid. Numerical experiments were first used to test the algorithm under idealised conditions. It was found that the analysis delivers improved results whenever there is a dependence between the initial values and the assimilated quantity. Furthermore, soil temperature and soil moisture from in situ field measurements were assimilated. These calculations demonstrate the improved performance of flux estimates, whenever soil property parameters are available of sufficient quality. Misspecifications could also be identified by the performance of the variational scheme.
Identifier(s):DOI: 10.5194/gmd-7-1025-2014
Responsible Party
Creator(s):Author: Charlotte M. Hoppe
Author: Hendrik Elbern
Author: Jörg Schwinger
Publisher:European Geosciences Union
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Data Assimilation, SVAT Modelling
File Details
File Name:2014_hoppe-schwinger-elbern.pdf
Data Type:Text
Size(s):19 Pages
File Size:2772 kB (2.707 MB)
Date(s):Date Accepted: 2013-11-22
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:None
Measurement Location:--None--
Specific Informations - Publication
Status:Accepted
Review:PeerReview
Year:2014
Type:Article
Source:Geoscientific Model Development
Volume:7
Number Of Pages:11
Page Range:1025 - 1036
Metadata Details
Metadata Creator:Charlotte Hoppe
Metadata Created:2013-12-10
Metadata Last Updated:2013-12-10
Subproject:D3
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:102
Metadata Downloads:0
Dataset Downloads:4
Dataset Activity
Features