Measurements of total and tropospheric ozone from IASI: comparison with correlative satellite, ground-based and ozonesonde observations

Boynard, Anne; Clerbaux, Cathy; Coheur, Pierre‐François; Hurtmans, Daniel; Turquety, Solène; George, M.; Hadji‐Lazaro, Juliette; Keim, C.; Meyer-Arnek, Julian

doi:10.5194/acp-9-6255-2009

Cited by 143 publications

(131 citation statements)

References 47 publications

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“…IASI showed an average positive bias of approximately 7 %. This is in line with previous research by Boynard et al (2009) who found an average positive bias of between 3 %-5 % on a global scale.…”

Section: Discussionsupporting

confidence: 81%

“…This is an area where not only were there large gaps between each overpass but also data gaps at the poles. Boynard et al (2009) found that in general IASI ozone total columns were in good agreement with both GOME-2 and with the Brewer and Dobson ground based instruments with correlation coefficients of 0.9 and 0.85 respectively. They also found that IASI had a positive bias of about 3.3 % when compared to both GOME-2 and the ozone sondes measurements.…”

Section: Iasi Ozone Retrievalsmentioning

confidence: 57%

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Antarctic ozone hole as observed by IASI/MetOp for 2008–2010

et al. 2012

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Abstract. In this paper we present a study of the ozone hole as observed by the Infrared Atmospheric Sounding Interferometer (IASI) on-board the MetOp-A European satellite platform from the beginning of data dissemination, August 2008, to the end of December 2010.Here we demonstrate IASI's ability to capture the seasonal characteristics of the ozone hole, in particular during polar night. We compare IASI ozone total columns and vertical profiles with those of the Global Ozone Monitoring Experiment 2 (GOME-2, also on-board MetOp-A) and electrochemical concentration cell (ECC) ozone sonde measurements. Total ozone column from IASI and GOME-2 were found to be in excellent agreement for this region with a correlation coefficient of 0.97, for September, October and November 2009. On average IASI exhibits a positive bias of approximately 7 % compared to the GOME-2 measurements over the entire ozone hole period. Comparisons between IASI and ozone sonde measurements were also found to be in good agreement with the difference between both ozone profile measurements being less than ±30 % over the altitude range of 0-40 km. The vertical structure of the ozone profile inside the ozone hole is captured remarkably well by IASI.

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Section: Discussionsupporting

confidence: 81%

Section: Iasi Ozone Retrievalsmentioning

confidence: 57%

Antarctic ozone hole as observed by IASI/MetOp for 2008–2010

et al. 2012

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“…The IASI retrievals used in this work are from the FORLI algorithm, which is also based on optimal estimation. A full description of the retrieval method and setup is provided in Coheur et al (2005) and Boynard et al (2009). The validation against ozone sondes in the mid and tropical latitudes performed by Boynard et al (2009 and Dufour et al (2011) shows good agreement in terms of tropospheric partial columns.…”

Section: Tropospheric Compositionmentioning

confidence: 99%

Aerosol and ozone changes as forcing for climate evolution between 1850 and 2100

et al. 2012

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Global aerosol and ozone distributions and their associated radiative forcings were simulated between 1850 and 2100 following a recent historical emission dataset and under the representative concentration pathways (RCP) for the future. These simulations were used in an Earth System Model to account for the changes in both radiatively and chemically active compounds, when simulating the climate evolution. The past negative stratospheric ozone trends result in a negative climate forcing culminating at -0.15 W m -2 in the 1990s. In the meantime, the tropospheric ozone burden increase generates a positive climate forcing peaking at 0.41 W m -2 . The future evolution of ozone strongly depends on the RCP scenario considered. In RCP4.5 and RCP6.0, the evolution of both stratospheric and tropospheric ozone generate relatively weak radiative forcing changes until 2060-2070 followed by a relative 30 % decrease in radiative forcing by 2100. In contrast, RCP8.5 and RCP2.6 model projections exhibit strongly different ozone radiative forcing trajectories. In the RCP2.6 scenario, both effects (stratospheric ozone, a negative forcing, and tropospheric ozone, a positive forcing) decline towards 1950s values while they both get stronger in the RCP8.5 scenario. Over the twentieth century, the evolution of the total aerosol burden is characterized by a strong increase after World War II until the middle of the 1980s followed by a stabilization during the last decade due to the strong decrease in sulfates in OECD countries since the 1970s. The cooling effects reach their maximal values in 1980, with -0.34 and -0.28 W m -2 respectively for direct and indirect total radiative forcings. According to the RCP scenarios, the aerosol content, after peaking around 2010, is projected to decline strongly and monotonically during the twenty-first century for the RCP8.5, 4.5 and 2.6 scenarios. While for RCP6.0 the decline occurs later, after peaking around 2050. As a consequence the relative importance of the total cooling effect of aerosols becomes weaker throughout the twenty-first century compared with the positive forcing of greenhouse gases. Nevertheless, both surface ozone and aerosol content show very different regional features depending on the future scenario considered. Hence, in 2050, surface ozone changes vary between -12 and ?12 ppbv over Asia depending on the RCP projection, whereas the regional direct aerosol radiative forcing can locally exceed -3 W m -2 . This paper is a contribution to the special issue on the IPSL and CNRM global climate and Earth System Models, both developed in France and contributing to the 5th coupled model intercomparison project.Electronic supplementary material The online version of this article

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“…It is a Nadir-viewing imaging spectrograph that measures the solar radiation backscattered by the Earth's atmosphere and surface between 270-500 nm with a spectral resolution of about 0.5 nm. O 3 total column data, measured from ground to approximately 80 km, are retrieved using both the TOMS technique (developed by NASA) (Bhartia and Wellemeyer, 2002) and a DOAS technique developed at KNMI. The O 3 products used in the present study are from the Level-3 Aura/OMI based on the Level-2 OMDOA product that uses DOAS multi-wavelength algorithm (Veefkind et al, 2006; http://disc.gsfc.nasa.gov/ Aura/OMI/omdoae v003.shtml).…”

Section: Omi Satellite Data and Algorithms For O 3 Total Columnsmentioning

confidence: 99%

Comparison of ground-based FTIR and Brewer O<sub>3</sub> total column with data from two different IASI algorithms and from OMI and GOME-2 satellite instruments

et al. 2011

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Abstract. An intercomparison of ozone total column measurements derived from various platforms is presented in this work. Satellite data from Infrared Atmospheric Sounding Interferometer (IASI), Ozone Monitoring Instrument (OMI) and Global Ozone Monitoring Experiment (GOME-2) are compared with data from two ground-based spectrometers (Fourier Transform Infrared spectrometer FTIR and Brewer), located at the Network for Detection of Atmospheric Composition Change (NDACC) super-site of Izaña (Tenerife), measured during a campaign from March to June 2009. These ground-based observing systems have already been demonstrated to perform consistent, precise and accurate ozone total column measurements. An excellent agreement between ground-based and OMI/GOME-2 data is observed. Results from two different algorithms for deriving IASI ozone total column are also compared: the European Organisation for the Exploitation of Meteorological Satellites (EUMET-SAT/ESA) operational algorithm and the LISA (Laboratoire Inter-universitaire des Systèmes Atmosphériques) algorithm. A better agreement was found with LISA's analytical approach based on an altitude-dependent Tikhonov-Philips regularization: correlations are 0.94 and 0.89 compared to FTIR and Brewer, respectively; while the operational IASI ozone columns (based on neural network analysis) show correlations of 0.90 and 0.85, respectively, compared to the O 3 columns obtained from FTIR and Brewer.

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Measurements of total and tropospheric ozone from IASI: comparison with correlative satellite, ground-based and ozonesonde observations

Cited by 143 publications

References 47 publications

Antarctic ozone hole as observed by IASI/MetOp for 2008–2010

Antarctic ozone hole as observed by IASI/MetOp for 2008–2010

Aerosol and ozone changes as forcing for climate evolution between 1850 and 2100

Comparison of ground-based FTIR and Brewer O<sub>3</sub> total column with data from two different IASI algorithms and from OMI and GOME-2 satellite instruments

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Measurements of total and tropospheric ozone from IASI: comparison with correlative satellite, ground-based and ozonesonde observations

Cited by 143 publications

References 47 publications

Antarctic ozone hole as observed by IASI/MetOp for 2008–2010

Antarctic ozone hole as observed by IASI/MetOp for 2008–2010

Aerosol and ozone changes as forcing for climate evolution between 1850 and 2100

Comparison of ground-based FTIR and Brewer O&lt;sub&gt;3&lt;/sub&gt; total column with data from two different IASI algorithms and from OMI and GOME-2 satellite instruments

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Comparison of ground-based FTIR and Brewer O<sub>3</sub> total column with data from two different IASI algorithms and from OMI and GOME-2 satellite instruments