Extending the satellite data record of tropospheric ozone profiles from Aura-TES to MetOp-IASI: characterisation of optimal estimation retrievals

Oetjen, H.; Payne, Vivienne H.; Kulawik, S. S.; Eldering, A.; Worden, J.; Edwards, D. P.; Francis, Gene; Worden, H. M.; Clerbaux, Cathy; Hadji‐Lazaro, Juliette; Hurtmans, Daniel

doi:10.5194/amt-7-4223-2014

Cited by 16 publications

(18 citation statements)

References 52 publications

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“…Overall, today there are still large differences in the value of the O 3 trends determined from independent studies and data sets (mostly from ground-based and satellite observations) in both the stratosphere and the troposphere (e.g. Oltmans et al, 1998Oltmans et al, , 2006Randel and Wu, 2007;Gardiner et al, 2008;Vigouroux et al, 2008Vigouroux et al, , 2015Jiang et al, 2008;Kyrölä et al, 2010). In order to improve on this and because O 3 has been recognised as one of the Global Climate Observing System (GCOS) Essential Climate Variables (ECVs), the scientific community has underlined the need of acquiring high-quality global, long-term and homogenised ozone profile records from satellites (Randel and Wu, 2007;Jones et al, 2009;WMO, 2007WMO, , 2011WMO, , 2014.…”

Section: Introductionmentioning

confidence: 99%

Ozone variability in the troposphere and the stratosphere from the first 6 years of IASI observations (2008–2013)

et al. 2016

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Abstract. In this paper, we assess how daily ozone (O3) measurements from the Infrared Atmospheric Sounding Interferometer (IASI) on the MetOp-A platform can contribute to the analyses of the processes driving O3 variability in the troposphere and the stratosphere and, in the future, to the monitoring of long-term trends. The temporal evolution of O3 during the first 6 years of IASI (2008–2013) operation is investigated with multivariate regressions separately in four different layers (ground–300, 300–150, 150–25, 25–3 hPa), by adjusting to the daily time series averaged in 20° zonal bands, seasonal and linear trend terms along with important geophysical drivers of O3 variation (e.g. solar flux, quasi-biennial oscillation (QBO)). The regression model is shown to perform generally very well with a strong dominance of the annual harmonic terms and significant contributions from O3 drivers, in particular in the equatorial region where the QBO and the solar flux contribution dominate. More particularly, despite the short period of the IASI data set available up to now, two noticeable statistically significant apparent trends are inferred from the daily IASI measurements: a positive trend in the upper stratosphere (e.g. 1.74 ± 0.77 DU year−1 between 30 and 50° S), which is consistent with other studies suggesting a turnaround for stratospheric O3 recovery, and a negative trend in the troposphere at the mid-latitudes and high northern latitudes (e.g. −0.26 ± 0.11 DU year−1 between 30 and 50° N), especially during summer and probably linked to the impact of decreasing ozone precursor emissions. The impact of the high temporal sampling of IASI on the uncertainty in the determination of O3 trend has been further explored by performing multivariate regressions on IASI monthly averages and on ground-based Fourier transform infrared (FTIR) measurements.

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Section: Introductionmentioning

confidence: 99%

Ozone variability in the troposphere and the stratosphere from the first 6 years of IASI observations (2008–2013)

et al. 2016

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“…The paper compares a year of IASI-A measurements to both UV satellite and ground-based observations along with ozonesonde data. More recently, IASI O 3 has been validated against independent observations in a series of papers (Antón et al, 2011;Dufour et al, 2012;Gazeaux et al, 2013;Pommier et al, 2012;Oetjen et al, 2014;Safieddine et al, 2015;Scannell et al, 2012;Toihir et al, 2015). These papers report that the comparisons between IASI and UV instruments show a positive bias from IASI for the total column ranging from ∼ 3 % (Brewer-Dobson) to ∼ 6 % (Global Ozone Monitoring Experiment-2A -GOME-2A) on the global scale.…”

Section: Introductionmentioning

confidence: 99%

Seven years of IASI ozone retrievals from FORLI: validation with independent total column and vertical profile measurements

et al. 2016

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Ozone Monitoring Experiment-2 (GOME-2) launched on board MetOp-A and Brewer-Dobson data show that, on average, IASI overestimates the ultraviolet (UV) data by 5-6 % with the largest differences found in the southern high latitudes. The comparison with UV-visible SAOZ (Système d'Analyse par Observation Zénithale) measurements shows a mean bias between IASI and SAOZ TOCs of 2-4 % in the midlatitudes and tropics and 7 % at the polar circle. Part of the discrepancies found at high latitudes can be attributed to the limited information content in the observations due to low brightness temperatures. The comparison with ozonesonde vertical profiles (limited to 30 km) shows that on average IASI with FORLI processing underestimates O 3 by ∼ 5-15 % in the troposphere while it overestimates O 3 by ∼ 10-40 % in the stratosphere, depending on the latitude. The largest relative differences are found in the tropPublished by Copernicus Publications on behalf of the European Geosciences Union. 4328A. Boynard et al.: Seven years of IASI ozone retrievals from FORLI ical tropopause region; this can be explained by the low O 3 amounts leading to large relative errors. In this study, we also evaluate an updated version of FORLI-O3 retrieval software (v20151001), using look-up tables recalculated to cover a larger spectral range using the latest HITRAN spectroscopic database (HITRAN 2012) and implementing numerical corrections. The assessment of the new O 3 product with the same set of observations as that used for the validation exercise shows a correction of ∼ 4 % for the TOC positive bias when compared to the UV ground-based and satellite observations, bringing the overall global comparison to ∼ 1-2 % on average. This improvement is mainly associated with a decrease in the retrieved O 3 concentration in the middle stratosphere (above 30 hPa/25 km) as shown by the comparison with ozonesonde data.

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“…In particular, the 4 % bias drop between Reunion and Bauru stations located at the same latitude (see Fig. 12) is attributed to the larger O 3 concentration in the upper troposphere above the South American continent in contrast to the Indian Ocean (Pastel et al, 2014).…”

Section: Comparison With Ground-based Saoz Datamentioning

confidence: 94%

Section: Introductionmentioning

confidence: 98%

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Boynard¹

2016

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Extending the satellite data record of tropospheric ozone profiles from Aura-TES to MetOp-IASI: characterisation of optimal estimation retrievals

Cited by 16 publications

References 52 publications

Ozone variability in the troposphere and the stratosphere from the first 6 years of IASI observations (2008–2013)

Ozone variability in the troposphere and the stratosphere from the first 6 years of IASI observations (2008–2013)

Seven years of IASI ozone retrievals from FORLI: validation with independent total column and vertical profile measurements

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