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| Titel |
A multi-sensor upper tropospheric ozone product (MUTOP) based on TES Ozone and GOES water vapor: derivation |
| VerfasserIn |
S. R. Felker, J. L. Moody, A. J. Wimmers, G. Osterman, K. Bowman |
| 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. 13 ; Nr. 11, no. 13 (2011-07-08), S.6515-6527 |
| Datensatznummer |
250009900
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| Publikation (Nr.) |
 copernicus.org/acp-11-6515-2011.pdf |
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| Zusammenfassung |
The Tropospheric Emission Spectrometer (TES), a hyperspectral infrared
instrument on the Aura satellite, retrieves a vertical profile of
tropospheric ozone. However, polar-orbiting instruments like TES provide
limited nadir-view coverage. This work illustrates the value of these
observations when taken in context with geostationary imagery describing
synoptic-scale weather patterns. The goal of this study is to create
map-view products of upper troposphere (UT) ozone through the integration of
TES ozone measurements with two synoptic dynamic tracers of stratospheric
influence: specific humidity derived from the GOES Imager water vapor
absorption channel, and potential vorticity (PV) from an operational
forecast model. As a mixing zone between tropospheric and stratospheric
reservoirs, the upper troposphere (UT) exhibits a complex chemical makeup.
Determination of ozone mixing ratios in this layer is especially difficult
without direct in situ measurement. However, it is well understood that UT
ozone is correlated with dynamical tracers like low specific humidity and
high potential vorticity. Blending the advantages of two remotely sensed
quantities (GOES water vapor and TES ozone) is at the core of the
Multi-sensor Upper Tropospheric Ozone Product (MUTOP).
Our results suggest that 72 % of TES-observed UT ozone variability can be
explained by its correlation with dry air and high PV. MUTOP reproduces TES
retrievals across the GOES-West domain with a root mean square error (RMSE)
of 18 ppbv (part per billion by volume). There are several advantages to
this multi-sensor derived product approach: (1) it is calculated from two
operational fields (GOES specific humidity and GFS PV), so maps of
layer-average ozone can be created and used in near real-time; (2) the
product provides the spatial resolution and coverage of a geostationary
image as it depicts the variable distribution of ozone in the UT; and (3)
the 6 h temporal resolution of the derived product imagery allows for the
visualization of rapid movement of this dynamically-driven ozone, as
illustrated in the animation Supplement. This paper presents the scientific
basis and methodology behind the creation of this unique ozone product, as
well as a statistical comparison of the derived product to an evaluation
dataset of coincident TES observations. |
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