A global tropospheric ozone climatology from trajectory-mapped ozone soundings

Liu, G.; Liu, Jing; Tarasick, D. W.; Fioletov, Vitali; Jin, J. J.; Moeini, Omid; Liu, X.; Sioris, C. E.; Osman, M.

doi:10.5194/acp-13-10659-2013

Cited by 63 publications

(52 citation statements)

References 65 publications

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“…The exceptions are Hohenpeissenberg station in Germany that uses Brewer-Mast (BM) ozonesondes, the New Delhi, Poona, and Trivandrum stations that use Indian ozonesondes, and four Japanese stations (i.e., Sapporo, Tsukuba, Naha, and Syowa) that switched from KC ozonesondes to ECC ozonesondes during late 2008 and early 2010. These types of ozonesondes have been reported to have larger uncertainties than ECC ozonesondes (Hassler et al, 2014;Liu et al, 2013;WMO, 1998).…”

Section: Ozonesondesmentioning

confidence: 99%

Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations

et al. 2017

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Abstract. We validate the Ozone Monitoring Instrument (OMI) Ozone Profile (PROFOZ) product from October 2004 through December 2014 retrieved by the Smithsonian Astrophysical Observatory (SAO) algorithm against ozonesonde observations. We also evaluate the effects of OMI row anomaly (RA) on the retrieval by dividing the dataset into before and after the occurrence of serious OMI RA, i.e., pre-RA (2004) and post-RA (2009-2014. The retrieval shows good agreement with ozonesondes in the tropics and midlatitudes and for pressure <∼ 50 hPa in the high latitudes. It demonstrates clear improvement over the a priori down to the lower troposphere in the tropics and down to an average of ∼ 550 (300) hPa at middle (high) latitudes. In the tropics and midlatitudes, the profile mean biases (MBs) are less than 6 %, and the standard deviations (SDs) range from 5 to 10 % for pressure <∼ 50 hPa to less than 18 % (27 %) in the tropics (midlatitudes) for pressure >∼ 50 hPa after applying OMI averaging kernels to ozonesonde data. The MBs of the stratospheric ozone column (SOC, the ozone column from the tropopause pressure to the ozonesonde burst pressure) are within 2 % with SDs of < 5 % and the MBs of the tropospheric ozone column (TOC) are within 6 % with SDs of 15 %. In the high latitudes, the profile MBs are within 10 % with SDs of 5-15 % for pressure <∼ 50 hPa but increase to 30 % with SDs as great as 40 % for pressure >∼ 50 hPa. The SOC MBs increase up to 3 % with SDs as great as 6 % and the TOC SDs increase up to 30 %. The comparison generally degrades at larger solar zenith angles (SZA) due to weaker signals and additional sources of error, leading to worse performance at high latitudes and during the midlatitude winter. Agreement also degrades with increasing cloudiness for pressure >∼ 100 hPa and varies with cross-track position, especially with large MBs and SDs at extreme off-nadir positions. In the tropics and midlatitudes, the post-RA comparison is considerably worse with larger SDs reaching 2 % in the stratosphere and 8 % in the troposphere and up to 6 % in TOC. There are systematic differences that vary with latitude compared to the pre-RA comparison. The retrieval comparison demonstrates good long-term stability during the pre-RA period but exhibits a statistically significant trend of 0.14-0.7 % year −1 for pressure <∼ 80 hPa, 0.7 DU year −1 in SOC, and −0.33 DU year −1 in TOC during the post-RA period. The spatiotemporal variation of retrieval performance suggests the need to improve OMI's radiometric calibration especially during the post-RA period to maintain the long-term stability and reduce the latitude/season/SZA and cross-track dependency of retrieval quality.

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Section: Ozonesondesmentioning

confidence: 99%

Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations

et al. 2017

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“…The explicitly separated troposphere and stratosphere, which overlap in the upper troposphere-lower stratosphere (UTLS) region, are intended to be used for model a priori where an atmospheric model determines the tropopause location itself. This paper focuses on characterization and validation of the first and second data sets, while the tropospheric climatology is discussed in a parallel paper (Liu et al, 2013). Examples of ozone data presented in this paper use the first data set.…”

Section: Trajectory Calculation and Global Ozone Mappingmentioning

confidence: 99%

“…Trajectory mapping has also been used to fill gaps in satellite MLS (Microwave Limb Sounder) ozone data in the stratosphere in order to calculate the tropospheric residual ozone column (Schoeberl et al, 2007). Tarasick et al (2010) Liu et al (2013).…”

Section: Introductionmentioning

confidence: 99%

A global ozone climatology from ozone soundings via trajectory mapping: a stratospheric perspective

et al. 2013

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Abstract. This study explores a domain-filling trajectory approach to generate a global ozone climatology from relatively sparse ozonesonde data. Global ozone soundings comprising 51 898 profiles at 116 stations over 44 yr are used, from which forward and backward trajectories are calculated from meteorological reanalysis data to map ozone measurements to other locations and so fill in the spatial domain. The resulting global ozone climatology is archived monthly for five decades from the 1960s to the 2000s on a grid of 5 • × 5 • × 1 km (latitude, longitude, and altitude), from the surface to 26 km altitude. It is also archived yearly for the same period. The climatology is validated at 20 selected ozonesonde stations by comparing the actual ozone sounding profile with that derived through trajectory mapping of ozone sounding data from all stations except the one being compared. The two sets of profiles are in good agreement, both overall with correlation coefficient r = 0.991 and root mean square (RMS) of 224 ppbv and individually with r from 0.975 to 0.998 and RMS from 87 to 482 ppbv. The ozone climatology is also compared with two sets of satellite data from the Satellite Aerosol and Gas Experiment (SAGE) and the Optical Spectrography and InfraRed Imager System (OSIRIS). The ozone climatology compares well with SAGE and OSIRIS data in both seasonal and zonal means. The mean differences are generally quite small, with maximum differences of 20 % above 15 km. The agreement is better in the Northern Hemisphere, where there are more ozonesonde stations, than in the Southern Hemisphere; it is also better in the middle and high latitudes than in the tropics where reanalysis winds are less accurate. This ozone climatology captures known features in the stratosphere as well as seasonal and decadal variations of these features. The climatology clearly shows the depletion of ozone from the 1970s to the mid 1990s and ozone increases in the 2000s in the lower stratosphere. When this climatology is used as the upper boundary condition in an Environment Canada operational chemical forecast model, the forecast is improved in the vicinity of the upper troposphere-lower stratosphere (UTLS) region. This ozone climatology is latitudinally, longitudinally, and vertically resolved and it offers more complete high latitude coverage as well as a much longer record than current satellite data. As the climatology depends on neither a priori data nor photochemical modeling, it provides independent information and insight that can supplement satellite data and model simulations of stratospheric ozone.

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“…Both sites are separated only 175 km from each other. The typical horizontal ozone correlation length is about 500 km in the troposphere (Liu et al, 2013) and 1500 km in the stratosphere (Liu et al, 2009). Timescales of autocorrelation vary between about 1.5 and 3.5 days in the troposphere and between 2 and 6 days in the stratosphere (Liu et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

On instrumental errors and related correction strategies of ozonesondes: possible effect on calculated ozone trends for the nearby sites Uccle and De Bilt

et al. 2016

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Abstract. The ozonesonde stations at Uccle (Belgium) and De Bilt (the Netherlands) are separated by only 175 km but use different ozonesonde types (or different manufacturers for the same electrochemical concentration cell (ECC) type), operating procedures, and correction strategies. As such, these stations form a unique test bed for the Ozonesonde Data Quality Assessment (O3S-DQA) activity, which aims at providing a revised, homogeneous, consistent dataset with an altitude-dependent estimated uncertainty for each revised profile. For the ECC ozonesondes at Uccle mean relative uncertainties in the 4-6 % range are obtained. To study the impact of the corrections on the ozone profiles and trends, we compared the Uccle and De Bilt average ozone profiles and vertical ozone trends, calculated from the operational corrections at both stations and the O3S-DQA corrected profiles.In the common ECC 1997-2014 period, the O3S-DQA corrections effectively reduce the differences between the Uccle and De Bilt ozone partial pressure values with respect to the operational corrections only for the stratospheric layers below the ozone maximum. The upper-stratospheric ozone measurements at both sites are substantially different, regardless of the correction methodology used. The origin of this difference is not clear. The discrepancies in the tropospheric ozone concentrations between both sites can be ascribed to the problematic background measurement and correction at De Bilt, especially in the period before November 1998. The Uccle operational correction method, applicable to both ozonesonde types used, diminishes the relative stratospheric ozone differences of the Brewer-Mast sondes in the 1993-1996 period with De Bilt to less than 5 % and to less than 6 % in the free troposphere for the De Bilt operational corrections.Despite their large impact on the average ozone profiles, the different (sensible) correction strategies do not change the ozone trends significantly, usually only within their statistical uncertainty due to atmospheric noise. The O3S-DQA corrections bring the Uccle and De Bilt ozone trend estimates for 1997-2014 closer to each other in the lower stratosphere and lower troposphere. Throughout the whole vertical profile, these trend estimates are, however, not significantly different from each other, and only in the troposphere significantly positive. For the entire Uccle observation period , the operational corrections lead to height-independent and consistent ozone trends for both the troposphere and the stratosphere, with rates of + 2 to +3 % decade −1 and −1 to −2 % decade −1 , respectively.

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A global tropospheric ozone climatology from trajectory-mapped ozone soundings

Cited by 63 publications

References 65 publications

Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations

Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations

A global ozone climatology from ozone soundings via trajectory mapping: a stratospheric perspective

On instrumental errors and related correction strategies of ozonesondes: possible effect on calculated ozone trends for the nearby sites Uccle and De Bilt

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