 |
| Titel |
Singular vector decomposition for sensitivity analyses of tropospheric chemical scenarios |
| VerfasserIn |
N. Goris, H. Elbern |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1680-7316
|
| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 13, no. 9 ; Nr. 13, no. 9 (2013-05-15), S.5063-5087 |
| Datensatznummer |
250018657
|
| Publikation (Nr.) |
 copernicus.org/acp-13-5063-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| 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. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|