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Titel |
Assessing the regional surface influence through Backward Lagrangian Dispersion Models for aircraft CO2 vertical profiles observations in NE Spain |
VerfasserIn |
A. Font, J.-A. Morguí, X. Rodó |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1680-7316
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Chemistry and Physics ; 11, no. 4 ; Nr. 11, no. 4 (2011-02-21), S.1659-1670 |
Datensatznummer |
250009369
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Publikation (Nr.) |
copernicus.org/acp-11-1659-2011.pdf |
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Zusammenfassung |
In this study the differences in the measured atmospheric CO2 mixing
ratio at three aircraft profiling sites in NE Spain separated by 60 km are
analyzed in regard to the variability of the surface fluxes in the regional
surface influence area. First, the Regional Potential Surface Influence
(RPSI) for fifty-one days in 2006 is calculated to assess the vertical,
horizontal and temporal extent of the surface influence for the three sites
at the regional scale (104 km2) at different altitudes of the
profile (600, 1200, 2500 and 4000 meters above the sea level, m a.s.l.).
Second, three flights carried out in 2006 (7 February, 24 August and 29 November)
following the Crown Atmospheric Sampling (CAS) design are
presented to study the relation between the measured CO2 variability
and the Potential Surface Influence (PSI) and RPSI concepts. At 600 and 1200 m a.s.l. the regional signal is confined up to 50 h before the measurements
whereas at higher altitudes (2500 and 4000 m a.s.l.) the regional surface
influence is only recovered during spring and summer months. The RPSI from
sites separated by 60 km overlap by up to 70% of the regional
surface influence at 600 and 1200 m a.s.l., while the overlap decreases to
10–40% at higher altitudes (2500 and 4000 m a.s.l.). The scale of the RPSI
area is suitable to understand the differences in the measured CO2
concentration in the three vertices of the CAS, as CO2 differences are
attributed to local surrounding fluxes (February) or to the variability of
regional surface influence as for the August and November flights. For these
two flights, the variability in the regional scale influences the
variability measured in the local scale. The CAS sampling design for
aircraft measurements appears to be a suitable method to cope with the
variability of a typical grid for inversion models as measurements are
intensified within the PBL and the background concentration is measured
every ~102 km. |
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