Analysis of satellite remote sensing observations of low ozone events in the tropical upper troposphere and links with convection

Cooper, M. J.; Martin, Randall V.; Livesey, N. J.; Degenstein, D. A.; Walker, Kaley A.

doi:10.1002/grl.50717

Cited by 13 publications

(13 citation statements)

References 36 publications

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“…Spread in % of relative differences with respect to ozonesonde profiles for GOMOS V6 (left) and GOMOS ALGOM2s retrievals (right). Cooper et al, 2013;Kunze et al, 2010;Liu et al, 2009;Manney et al, 2011;Sioris et al, 2014). As observed in Fig.…”

Section: Validation Against Ozonesondessupporting

confidence: 59%

Improved GOMOS/Envisat ozone retrievals in the upper troposphere and the lower stratosphere

et al. 2017

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International audienceGlobal Ozone Monitoring by Occultation of Stars (GOMOS) on board Envisat has performed about 440 000 night-time occultations during 2002–2012. Self-calibrating measurement principle, good vertical resolution, excellent pointing accuracy and the wide vertical range from the troposphere up to the lower thermosphere make GOMOS profiles interesting for different analyses. The GOMOS ozone data are of high quality in the stratosphere and the mesosphere, but the current operational retrieval algorithm (IPF v.6) is not optimized for retrievals in the upper troposphere–lower stratosphere (UTLS). In particular, validation of GOMOS profiles against ozonesonde data has revealed a substantial positive bias (up to 100 %) in the UTLS region. The retrievals in the UTLS are challenging because of low signal-to-noise ratio and the presence of clouds. In this work, we discuss the reasons for the systematic uncertainties in the UTLS with the IPF v.6 algorithm or its modifications based on simultaneous retrievals of several constituents using the full visible wavelength range. The main reason is high sensitivity of the UTLS retrieval algorithms to an assumed aerosol extinction model. We have developed a new aerosol–insensitive ozone profile inversion algorithm for GOMOS data in the UTLS using a DOAS-type method at visible wavelengths. The method uses minimal assumptions about the atmospheric profiles. The ozone retrievals in the whole altitude range from the troposphere to the lower thermosphere are performed in two steps, as in the operational algorithm: spectral inversion followed by the vertical inversion. The horizontal column ozone densities retrieved in the spectral inversion follow V6 profiles in the middle atmosphere and follow the triplet ozone profiles in the UTLS. The vertical inversion is performed as in IPF v6 with the Tikhonov-type regularization according to the target resolution. The validation of new retrieved ozone profiles with ozonesondes show dramatic reduction of GOMOS ozone biases in the UTLS. The new GOMOS ozone profiles are also in a very good agreement with measurements by MIPAS, ACE-FTS and OSIRIS satellite instruments in the UTLS. It is also shown that the known geophysical phenomena in the UTLS ozone are well reproduced with the new GOMOS data

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Section: Validation Against Ozonesondessupporting

confidence: 59%

Improved GOMOS/Envisat ozone retrievals in the upper troposphere and the lower stratosphere

et al. 2017

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“…The MJO can also impact the tropospheric ozone, especially near the Equator (e.g., Ziemke and Chandra, 2003;Ziemke et al, 2007;Cooper et al, 2013). It was found that the equatorial tropospheric column ozone as well as equatorial upper tropospheric ozone decreases during the enhanced phase of MJO events indicating that the MJO can directly impact the equatorial tropospheric column ozone and upper tropospheric ozone.…”

Section: Introductionmentioning

confidence: 95%

The response of the equatorial tropospheric ozone to the Madden–Julian Oscillation in TES satellite observations and CAM-chem model simulation

2014

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For the CTM simulations, we run the Community Atmosphere Model with chemistry (CAM-chem) driven by the Goddard Earth Observing System Model, Version 5 (GEOS-5)-analyzed meteorological fields for the same data period as the TES measurements. Our analysis indicates that the behavior of the total tropospheric column (TTC) ozone at the intra-seasonal timescale is different from that of the total column ozone, with the signal in the equatorial region comparable with that in the subtropics. The model-simulated and satellite-measured ozone anomalies agree in their general pattern and amplitude when examined in the vertical cross section (the average spatial correlation coefficient among the eight phases is 0.63), with an eastward propagation signature at a similar phase speed as the convective anomalies (5 m s −1 ). The model ozone anomalies on the intra-seasonal timescale are about 5 times larger when lightning emissions of NO x are included in the simulation than when they are not. Nevertheless, large-scale advection is the primary driving force for the ozone anomalies associated with the MJO. The variability related to the MJO for ozone reaches up to 47 % of the total variability (ranging from daily to interannual), indicating that the MJO should be accounted for in simulating ozone perturbations in the tropics.

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“…While the influence of stratospheric intrusions on tropospheric ozone and other trace constituents have been the focus of several studies [Tsutsumi et al, 1998;Lamarque et al, 1996;Cooper et al, 2013Cooper et al, , 2005Baray et al, 2000;Rondanelli et al, 2002;Langford et al, 2012;Stohl et al, 2000;Esler et al, 2001Esler et al, , 2003Waugh and Funatsu, 2003], the influence of these intrusions on tropospheric water vapor has received somewhat less attention. Yoneyama and Parsons [1999] was one of the early studies to explicitly link extremely dry air in the tropical troposphere to midlatitude Rossby wave breaking.…”

Section: Introductionmentioning

confidence: 99%

Water vapor isotopic composition of a stratospheric air intrusion: Measurements from the Chajnantor Plateau, Chile

Galewsky

Samuels-Crow

2014

JGR Atmospheres

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Measurements of water vapor isotopic composition in stratospheric air intrusions can be used to constrain the dilution of the intrusion as it mixes into the middle troposphere. The intrusion studied here occurred on 17 and 18 August 2012 with measurements obtained at an altitude of 5 km in the Chilean Andes at the Atacama Large Millimeter Array astronomical observatory on the Chajnantor Plateau. Surface ozone concentrations rose 16 ppb in 6 h and were associated with a potential vorticity intrusion on the 330 K isentropic surface. A simulated stratospheric ozone tracer reaching Chajnantor also supports the interpretation of a stratospheric intrusion. Beginning around 18:00 UTC on 17 August, the mixing ratio dropped from 3000 ppmv to 430 ppmv as the water vapor δD values dropped from −153‰ to −438‰ over 13 h while the δ18O values dropped from −20‰ to −63‰. The average mixing ratio, δD, and δ18O values during August 2012 were measured to be 1500 ppmv, −250‰, and −34‰, respectively. The minimum water vapor concentration during the intrusion was in the driest 5% of measurements made during that month, while the minimum δD and δ18O values were within the lowest 0.5% of measurements made during that month. Simple two‐component models of mixing between stratospheric or upper tropospheric air with boundary layer air fail to reproduce observations, but a three‐component mixing model, in which the stratospheric intrusion mixes with an upper tropospheric background air mass, as it mixes with boundary layer air on Chajnantor, matches the observations.

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Analysis of satellite remote sensing observations of low ozone events in the tropical upper troposphere and links with convection

Cited by 13 publications

References 36 publications

Improved GOMOS/Envisat ozone retrievals in the upper troposphere and the lower stratosphere

Improved GOMOS/Envisat ozone retrievals in the upper troposphere and the lower stratosphere

The response of the equatorial tropospheric ozone to the Madden–Julian Oscillation in TES satellite observations and CAM-chem model simulation

Water vapor isotopic composition of a stratospheric air intrusion: Measurements from the Chajnantor Plateau, Chile

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