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

This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.

Feature
Request downloadRequest download
Full Name:
Affiliation:
eMail:
Purpose of use:
 
Bot check:
Type all characters with this
color
.
 
It is case sensitive.
 
 
 
Submit
Citation
Citation Options
Identification
Title: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: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:10.1029/2009JD013115 (DOI)
Responsible Party
Creators:Jörg Schwinger (Author), Hendrik Elbern (Author)
Publisher:American Geophysical Union.
Publication Year:2013
Topic
TR32 Topic:Atmosphere
Related Subproject:D3
Subjects:Keywords: Data Assimilation, Remote Sensing
File Details
Filename:2010_Schwinger_JoGR.pdf
Data Type:Text - Article
Size:19 Pages
File Size:2.9 MB
Date:Issued: 27.09.2010
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
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
Geographic
Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Journal of Geophysical Research
Issue:D18
Volume:115
Number of Pages:19 (1 - 19)
Metadata Details
Metadata Creator:Jörg Schwinger
Metadata Created:10.12.2013
Metadata Last Updated:10.12.2013
Subproject:D3
Funding Phase:1
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:682
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
Feature
A download is not possibleDownload