TR32-Database: Database of Transregio 32

[755] - Chemical state estimation for the middle atmosphere by four-dimensional variational data assimilation: System configuration

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
Elbern, H., Schwinger, J., Botchorishvili, R., 2010. Chemical state estimation for the middle atmosphere by four-dimensional variational data assimilation: System configuration. Journal of Geophysical Research, 115, 1 - 23. DOI: 10.1029/2009JD011953.
Identification
Title(s):Main Title: Chemical state estimation for the middle atmosphere by four-dimensional variational data assimilation: System configuration
Description(s):Abstract: A novel stratospheric chemical data assimilation system has been developed and applied to Environmental Satellite Michelson Interferometer for Passive Atmospheric Sounding (ENVISAT/MIPAS) data, aiming to combine the sophistication of the four‐dimensional variational (4D‐var) technique with flow‐dependent covariance modeling and also to improve numerical performance. The system is tailored for operational stratospheric chemistry state monitoring. The atmospheric model of the assimilation system includes a state‐of‐the‐art stratospheric chemistry transport module along with its adjoint and the German weather service’s global meteorological forecast model, providing meteorological parameters. Both models share the same grid and same advection time step, to ensure dynamic consistency without spatial and temporal interpolation errors. A notable numerical efficiency gain is obtained through an icosahedral grid. As a novel feature in stratospheric variational data assimilation a special focus was placed on an optimal spatial exploitation of satellite data by dynamic formulation of the forecast error covariance matrix, providing potential vorticity controlled anisotropic and inhomogeneous influence radii. In this first part of the study the design and numerical features of the data assimilation system is presented, along with analyses of two case studies and a posteriori validation. Assimilated data include retrievals of O3, CH4, N2O, NO2, HNO3, and water vapor. The analyses are compared with independent observations provided by Stratospheric Aerosol and Gas Experiment II (SAGE II) and Halogen Occultation Experiment (HALOE) retrievals. It was found that there are marked improvements for both analyses and assimilation based forecasts when compared with control model runs without any data ingestion.
Identifier(s):DOI: 10.1029/2009JD011953
Responsible Party
Creator(s):Author: Hendrik Elbern
Author: Jörg Schwinger
Author: Ramaz Botchorishvili
Publisher:American Geophysical Union
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Atmosphere, Data Assimilation, ENVISAT, Ensemble Kalman Filter
File Details
File Name:2010_Elbern_JoGR.pdf
Data Type:Text
Size(s):23 Pages
File Size:3620 kB (3.535 MB)
Date(s):Date Accepted: 2009-10-29
Issued: 2010-03-20
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
Volume:115
Number Of Pages:23
Page Range:1 - 23
Metadata Details
Metadata Creator:Hendrik Elbern
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Subproject:D3
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:148
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
Features