Tropospheric ozone maxima observed over the Arabian Sea during the pre-monsoon

Jia, Yunpeng; Ladstätter-Weißenmayer, A.; Hou, Xiyong; Rozanov, A.; Burrows, J. P.

doi:10.5194/acp-17-4915-2017

Cited by 8 publications

(5 citation statements)

References 60 publications

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“…Figure 3d shows that The multiyear monthly averaged CO columns in Figure 2b show that the maximum was observed in March, which is consistent with the HCHO columns and with the maximum of TCO almost two months later. This temporal variation is in agreement with a previous study [11]. In addition, there was no obvious long-term trend for CO during the period 2005-2016 ( Figure S2d), except that the global economic slowdown led to reductions in CO in 2009 [35].…”

Section: Ancillary Datasupporting

confidence: 92%

“…In addition, the monsoon also impacts the spatial distribution of ozone and its precursors through wind and precipitation, which offset the increasing effect of local photochemical ozone production processes near the surface, resulting in the highest surface ozone concentration in September after the monsoon instead of in July. This result is in line with previous research [11,58] and proves that the monsoon is the main contributor to the seasonal behavior of ozone [60]. However, the maximum value of TCO in spring cannot be explained by the wind direction in April at this altitude, which is also inconsistent with the maximum concentration of surface ozone in September.…”

Section: Influence Of Wind Fieldsupporting

confidence: 91%

“…Previous studies found that the seasonal variation of TCO is generally higher in summer and lower in winter, which is strongly due to photochemical activity [9]. However, measurement of TCO over East Asia, the western Pacific in Japan, Taiwan, Hong Kong and the Arabian sea show similar seasonal patterns with the maximum concentration occurring in spring [10][11][12]. In contrast, Sun et al [13] observed a broad maximum in both spring and summer, with the maximum in June, and lower TCO values in autumn and winter in the western suburbs of Hefei city (the capital of Anhui Province) based on Fourier Transform Infrared Spectroscopy (FTIR) observations.…”

Section: Introductionmentioning

confidence: 87%

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Spatio-Temporal Characteristics of Tropospheric Ozone and Its Precursors in Guangxi, South China

Wang

Tao

et al. 2018

Atmosphere

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The temporal and spatial distributions of tropospheric ozone and its precursors (NO2, CO, HCHO) are analyzed over Guangxi (GX) in South China. We used tropospheric column ozone (TCO) from the Ozone Monitoring Instrument (OMI) and Microwave Limb Sounder (MLS) onboard the Aura satellite (OMI/MLS), NO2 and HCHO from OMI and CO from the Measurements of Pollution in the Troposphere (MOPITT) instrument in the period 2005–2016. The TCO shows strong seasonality, with the highest value in spring and the lowest value observed in the monsoon season. The seasonal variation of HCHO is similar to that of TCO, while NO2 and CO show slightly different patterns with higher values in spring and winter compared to lower values in autumn and summer. The surface ozone, NO2 and CO observed by national air quality monitoring network sites are also compared with satellite-observed TCO, NO2 and CO, showing good agreement for NO2 and CO but a different seasonal pattern for ozone. Unlike TCO, surface ozone has the highest value in autumn and the lowest value in winter. To reveal the difference, the vertical profiles of ozone and CO from the measurement of ozone and water vapor by airbus in-service aircraft (MOZAIC) observations over South China are also examined. The seasonal averaged vertical profiles of ozone and CO show obvious enhancements at 2–6 km altitudes in spring. Furthermore, we investigate the dependence of TCO and surface ozone on meteorology and transport in detail along with the ECMWF reanalysis data, Tropical Rainfall Measuring Mission (TRMM) 3BV42 dataset, OMI ultraviolet index (UV index) dataset, MODIS Fire Radiative Power (FRP) and back trajectory. Our results show that the wind pattern at 800 hPa plays a significant role in determining the seasonality of TCO over GX, especially for the highest value in spring. Trajectory analysis, combined with MODIS FRP suggests that the air masses that passed through the biomass burning (BB) region of Southeast Asia (SEA) induced the enhancement of TCO and CO in the upper-middle troposphere in spring. However, the seasonal cycle of surface ozone is associated with wind patterns at 950 hPa, and the contribution of the photochemical effect is offset by the strong summer monsoon, which results in the maximum surface ozone concentration in post-monsoon September. The variations in the meteorological conditions at different levels and the influence of transport from SEA can account for the vertical distribution of ozone and CO. We conclude that the seasonal distribution of TCO results from the combined impact of meteorology and long-term transport.

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Section: Ancillary Datasupporting

confidence: 92%

Section: Influence Of Wind Fieldsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 87%

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Spatio-Temporal Characteristics of Tropospheric Ozone and Its Precursors in Guangxi, South China

Wang

Tao

et al. 2018

Atmosphere

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“…High values above the South Indian Ocean are associated with biomass burning in Africa, particularly during austral spring, in addition to stratospheric intrusions (Fishman et al, 1991;Liu et al, 2017). The seasonality observed over the Arabian Sea is consistent with the analysis presented by Jia et al (2017).…”

Section: Seasonal Analysissupporting

confidence: 86%

Tropospheric ozone column dataset from OMPS-LP/OMPS-NM limb-nadir matching

Orfanoz-Cheuquelaf

Arosio

Rozanov

et al. 2023

Preprint

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Abstract. A Tropospheric Ozone Column (TrOC) dataset from the Ozone Mapping and Profiler Suite (OMPS) observations was generated by combining the retrieved total ozone column from OMPS - Nadir Mapper (OMPS-NM) and limb profiles from OMPS - Limb Profiler (OMPS-LP) data. All datasets were generated at the University of Bremen, and the TrOC product was obtained by applying the Limb-Nadir Matching technique (LNM). The retrieval algorithm and a comprehensive analysis of the uncertainty budget are presented here. The OMPS-LNM-TrOC dataset (2012–2018) is analysed and validated by comparing with ozonesondes, tropospheric ozone residual (TOR) data from the combined Ozone Monitoring Instrument/Microwave Limb Sounder (OMI/MLS) observations, and the TROPOspheric Monitoring Instrument (TROPOMI) Convective Cloud Differential technique (CCD) dataset. The OMPS-LNM TrOC is generally lower than the other datasets. The average bias with respect to ozonesondes is −1.7 DU with no significant latitudinal dependence identified. The mean difference with respect to OMI/MLS TOR and TROPOMI CCD is −3.4 and −1.8 DU, respectively. The seasonality and inter-annual variability are in good agreement with all comparison datasets.

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“…The instrument alternated between limb and nadir geometries so that the region probed during the limb scan was observed about 7 minutes later during the nadir scan. TOCs are retrieved applying the Limb-Nadir-Matching (LNM) technique (Ebojie et al, 2014;Ebojie, 2014;Jia et al, 2017) to coincident limb and nadir measurements from SCIAMACHY. Thereby, the total ozone columns are derived from nadir observations while the limb measurements are used to retrieve stratospheric ozone profiles.…”

Section: Sciamachymentioning

confidence: 99%

Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation

Gaudel

Cooper

Ancellet

et al. 2018

Elementa: Science of the Anthropocene

341

367

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The Tropospheric Ozone Assessment Report (TOAR) is an activity of the International Global Atmospheric Chemistry Project. This paper is a component of the report, focusing on the present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation. Utilizing the TOAR surface ozone database, several figures present the global distribution and trends of daytime average ozone at 2702 non-urban monitoring sites, highlighting the regions and seasons of the world with the greatest ozone levels. Similarly, ozonesonde and commercial aircraft observations reveal ozone’s distribution throughout the depth of the free troposphere. Long-term surface observations are limited in their global spatial coverage, but data from remote locations indicate that ozone in the 21st century is greater than during the 1970s and 1980s. While some remote sites and many sites in the heavily polluted regions of East Asia show ozone increases since 2000, many others show decreases and there is no clear global pattern for surface ozone changes since 2000. Two new satellite products provide detailed views of ozone in the lower troposphere across East Asia and Europe, revealing the full spatial extent of the spring and summer ozone enhancements across eastern China that cannot be assessed from limited surface observations. Sufficient data are now available (ozonesondes, satellite, aircraft) across the tropics from South America eastwards to the western Pacific Ocean, to indicate a likely tropospheric column ozone increase since the 1990s. The 2014–2016 mean tropospheric ozone burden (TOB) between 60˚N–60˚S from five satellite products is 300 Tg ± 4%. While this agreement is excellent, the products differ in their quantification of TOB trends and further work is required to reconcile the differences. Satellites can now estimate ozone’s global long-wave radiative effect, but evaluation is difficult due to limited in situ observations where the radiative effect is greatest.

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Tropospheric ozone maxima observed over the Arabian Sea during the pre-monsoon

Cited by 8 publications

References 60 publications

Spatio-Temporal Characteristics of Tropospheric Ozone and Its Precursors in Guangxi, South China

Spatio-Temporal Characteristics of Tropospheric Ozone and Its Precursors in Guangxi, South China

Tropospheric ozone column dataset from OMPS-LP/OMPS-NM limb-nadir matching

Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation

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