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| Titel |
Validation of six years of TES tropospheric ozone retrievals with ozonesonde measurements: implications for spatial patterns and temporal stability in the bias |
| VerfasserIn |
W. W. Verstraeten, K. F. Boersma, J. Zörner, M. A. F. Allaart, K. W. Bowman, J. R. Worden |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 6, no. 5 ; Nr. 6, no. 5 (2013-05-24), S.1413-1423 |
| Datensatznummer |
250017902
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| Publikation (Nr.) |
 copernicus.org/amt-6-1413-2013.pdf |
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| Zusammenfassung |
| In this analysis, Tropospheric Emission Spectrometer (TES) V004 nadir ozone
(O3) profiles are validated with more than 4400 coinciding ozonesonde measurements
taken across the world from the World Ozone and Ultraviolet Radiation Data
Centre (WOUDC) during the period 2005–2010. The TES observation operator was
applied to the sonde data to ensure a consistent comparison between TES and
ozonesonde data, i.e. without the influence of the a priori O3 profile
needed to regulate the retrieval. Generally, TES V004 O3 retrievals are
biased high by 2–7 ppbv (7–15%) in the troposphere, consistent with
validation results from earlier studies. Because of two degrees of freedom
for signal in the troposphere, we can distinguish between upper and lower
troposphere mean biases, respectively ranging from −0.4 to +13.3 ppbv
for the upper troposphere and +3.9 to +6.0 ppbv for the lower
troposphere. Focusing on the 464 hPa retrieval level, broadly representative
of the free tropospheric O3, we find differences in the TES biases for the
tropics (+3 ppbv, +7%), sub-tropics (+5 ppbv, +11%), and
northern (+7 ppbv, +13%) and southern mid-latitudes (+4 ppbv,
+10%). The relatively long-term record (6 yr) of TES–ozonesonde
comparisons allowed us to quantify temporal variations in TES biases at 464 hPa. We find that there are no discernable biases
in each of these latitudinal bands; temporal variations in the bias are
typically within the uncertainty of the difference between TES and
ozonesondes. Establishing these bias patterns is important in order to make
meaningful use of TES O3 data in applications such as model evaluation,
trend analysis, or data assimilation. |
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