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| Titel |
Singular vector-based targeted observations of chemical constituents: description and first application of the EURAD-IM-SVA v1.0 |
| VerfasserIn |
N. Goris, H. Elbern |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 12 ; Nr. 8, no. 12 (2015-12-10), S.3929-3945 |
| Datensatznummer |
250116704
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| Publikation (Nr.) |
 copernicus.org/gmd-8-3929-2015.pdf |
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| Zusammenfassung |
| Measurements of the large-dimensional chemical state of the atmosphere
provide only sparse snapshots of the state of the system due to their
typically insufficient temporal and spatial density. In order to optimize the
measurement configurations despite those limitations, the present work
describes the identification of sensitive states of the chemical system as
optimal target areas for adaptive observations. For this purpose, the
technique of singular vector analysis (SVA), which has proven effective for
targeted observations in numerical weather prediction, is implemented in the
EURAD-IM (EURopean Air pollution and Dispersion – Inverse Model) chemical
transport model, yielding the EURAD-IM-SVA v1.0. Besides initial values,
emissions are investigated as critical simulation controlling targeting
variables. For both variants, singular vectors are applied to determine the
optimal placement for observations and moreover to quantify which chemical
compounds have to be observed with preference. Based on measurements of the
airship based ZEPTER-2 campaign, the EURAD-IM-SVA v1.0 has been evaluated by
conducting a comprehensive set of model runs involving different initial
states and simulation lengths. For the sake of brevity, we concentrate our
attention on the following chemical compounds, O3, NO, NO2, HCHO, CO,
HONO, and OH, and focus on their influence on selected O3 profiles. Our
analysis shows that the optimal placement for observations of chemical
species is not entirely determined by mere transport and mixing processes.
Rather, a combination of initial chemical concentrations, chemical
conversions, and meteorological processes determines the influence of
chemical compounds and regions. We furthermore demonstrate that the optimal
placement of observations of emission strengths is highly dependent on the
location of emission sources and that the benefit of including emissions as
target variables outperforms the value of initial value optimization with
growing simulation length. The obtained results confirm the benefit of
considering both initial values and emission strengths as target variables
and of applying the EURAD-IM-SVA v1.0 for measurement decision guidance with
respect to chemical compounds. |
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