TR32-Database: Database of Transregio 32

[790] - Chemical state estimation for the middle atmosphere by four-dimensional variational data assimilation: A posteriori validation of error statistics in observation space

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Features
Citation
Schwinger, J., Elbern, H., 2010. Chemical state estimation for the middle atmosphere by four-dimensional variational data assimilation: A posteriori validation of error statistics in observation space. Journal of Geophysical Research, 115 (D18), 1 - 19. DOI: 10.1029/2009JD013115.
Identification
Title(s):Main Title: Chemical state estimation for the middle atmosphere by four-dimensional variational data assimilation: A posteriori validation of error statistics in observation space
Description(s):Abstract: Chemical state analyses of the atmosphere based on data assimilation may be degraded by inconsistent covariances of background and observation errors. An efficient method to calculate consistency diagnostics for background and observation errors in observation space is applied to analyses of the four-dimensional variational stratospheric chemistry data assimilation system SACADA (Synoptic Analysis of Chemical Constituents by Advanced Data Assimilation). A background error covariance model for the assimilation of Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) ozone retrievals is set up and optimized. It is shown that a significant improvement of the assimilation system performance is attained through the use of this covariance model compared to a simple covariance formulation, which assumes background errors to be a fixed fraction of the field value. The forecast skill, measured by the distance between the model forecast and MIPAS observations, is shown to improve. Further, an evaluation of analyses with independent data from the Halogen Observation Experiment (HALOE), the Stratospheric Aerosol and Gas Experiment II (SAGE II), and ozone sondes reveals that the standard deviation of ozone analyses with respect to these instruments is reduced throughout the middle stratosphere. Compared to the impact of background error variances on analysis quality, it is found that the precise specification of spatial background error correlations appears to be less critical if observations are spatially and temporally dense. Results indicate that ozone forecast errors of a state of the art stratospheric chemistry assimilation system are of the same order of magnitude as MIPAS observation errors
Identifier(s):DOI: 10.1029/2009JD013115
Responsible Party
Creator(s):Author: Jörg Schwinger
Author: Hendrik Elbern
Publisher:American Geophysical Union.
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Data Assimilation, Remote Sensing
File Details
File Name:2010_Schwinger_JoGR.pdf
Data Type:Text
Size(s):19 Pages
File Size:3014 kB (2.943 MB)
Date(s):Issued: 2010-09-27
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:2010
Type:Article
Article Type:Journal
Source:Journal of Geophysical Research
Issue:D18
Volume:115
Number Of Pages:19
Page Range:1 - 19
Metadata Details
Metadata Creator:Jörg Schwinger
Metadata Created:2013-12-10
Metadata Last Updated:2013-12-10
Subproject:D3
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:98
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
Features