TR32-Database: Database of Transregio 32

[709] - Singular vector decomposition for sensitivity analyses of tropospheric chemical scenarios

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

Features
Citation
Goris, N., Elbern, H., 2013. Singular vector decomposition for sensitivity analyses of tropospheric chemical scenarios. Atmospheric Chemistry and Physics, 13, 5063 - 5087. DOI: 10.5194/acp-13-5063-2013.
Identification
Title(s):Main Title: Singular vector decomposition for sensitivity analyses of tropospheric chemical scenarios
Description(s):Abstract: Observations of the chemical state of the atmosphere typically provide only sparse snapshots of the state of the system due to their insufficient temporal and spatial density. One possibility for optimisation of the state estimate is to target the observation of those parameters that have the largest potential of resulting in forecast improvements. In the present work, the technique of singular vector analysis is applied to atmospheric chemical modelling in order to identify the most sensitive chemical compounds during a given time period and prioritise them for measurement. Novel to the current work is the fact that, in the application of singular vector analysis, not only the initial values but also the emissions are considered as target variables for adaptive observation strategies. This specific application of singular vector analysis is studied in the context of a chemistry box model allowing for validation of its new features for two chemical regimes. The time and regime dependence of the ozone (O3) and peroxyacetyl nitrate (PAN) formation potential of individual volatile organic compounds (VOCs) is investigated. Results show that the combined sensitivity of O3 and PAN to individual VOCs is strongly dependent on the photochemical scenario and simulation interval used. Particularly the alkanes show increasing sensitivities with increasing simulation length. Classifying the VOCs as being of high, medium, little or negligible importance for the formation of O3 and PAN allows for the identification of those VOCs that may be omitted from measurement.We find that it is possible to omit 6 out of 18 VOCs considered for initial value measurement and 4 out of 12 VOCs considered for emission measurement. The omission of these VOCs is independent of photochemical regime and simulation length. The VOCs selected for measuring account for more than 96% and 90% of the O3 and PAN sensitivity to VOCs, respectively.
Identifier(s):DOI: 10.5194/acp-13-5063-2013
Responsible Party
Creator(s):Author: Nadine Goris
Author: Hendrik Elbern
Publisher:European Geosciences Union
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Sensitivity, Atmospheric Modelling
File Details
File Name:2013_Goris_ACP.pdf
Data Type:Text
Size(s):25 Pages
File Size:5027 kB (4.909 MB)
Date(s):Date Accepted: 2013-03-26
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:Published
Review:PeerReview
Year:2013
Type:Article
Article Type:Journal
Source:Atmospheric Chemistry and Physics
Volume:13
Number Of Pages:25
Page Range:5063 - 5087
Metadata Details
Metadata Creator:Hendrik Elbern
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-12
Subproject:D3
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:122
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity
Features