Sudden increase in the total ozone density due to secondary ozone peaks and its effect on total ozone trends over Korea

Park, Sang Seo; Kim, Jhoon; Cho, Hi Ku; Lee, Hanlim; Lee, Yeonjoo; Miyagawa, Koji

doi:10.1016/j.atmosenv.2011.11.011

Cited by 16 publications

(36 citation statements)

References 36 publications

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“…Furthermore, the PAN shows the highest mean ratio value of 0.98 ± 0.001 (±1σ ) with the BRE, which is slightly higher than the others. The mean ratio value is one of the parameters for intercomparison accuracy (e.g., Park et al, 2012). These high-correlation results are comparable with previous validation studies undertaken in Boulder, Colorado , and in Greenbelt, Maryland (Tzortziou et al, 2012).…”

Section: Intercomparison Of Daily Tco Values Between (A) Dobson (Dbsupporting

confidence: 78%

“…Larger values of annual range appear for the instruments with few observation numbers, DBS and OMI. The data from DBS and OMI are instantaneous values at a specific time; thus, these may reflect the sudden change of total ozone amounts due to stratosphere-troposphere exchange of ozone in winter and spring (e.g., Hwang et al, 2007;Park et al, 2012). The maximum monthly mean TCO value of the PAN shows the smallest relative difference of 1.54 % with that of the BRE.…”

Section: Tco Measured By the Pandora Dobson Brewer And Omi Instrummentioning

confidence: 99%

“…However the DBS has provided a high-quality, reliable dataset that can be used to monitor the variations and trends in ozone levels over the Korean Peninsula. The TCO dataset from the DBS was utilized to assess the long-term trends and their relationship with the secondary ozone peak (Park et al, 2012;Kim et al, 2005Kim et al, , 2014.…”

Section: Dobson Spectrophotometer (Beck No 124)mentioning

confidence: 99%

“…In addition, UV absorption by ozone influences global radiative forcing and climate change over long timescales (e.g., Cho et al, 2003;Martens, 1998;WMO, 2014). Since the depletion of ozone layer was first reported in the 1980s (Farman et al, 1985;Chubachi, 1985), extensive studies have been conducted on its long-term trends (e.g., Stolarski et al, 1991;Harris et al, 1997;Reinsel et al, 1981;Reinsel and Tiao, 1987;Ziemke et al, 2005;Fio-letov et al, 2002) with consideration of solar activity (e.g., Angell, 1989;Zerefos et al, 2001;Harris et al, 2003), natural oscillations (Creilsen et al, 2005;Appenzeller et al, 2000), detailed chemical mechanism (e.g., Solomon, 1999), slowdown of ozone depletion in upper stratosphere (e.g., Newchurch et al, 2003;Stolarski and Frith, 2006), detection of ozone hole recovery (e.g., Weatherhead et al, 2000;Reinsel et al, 2005), and recent assessment of physical/chemical cause of ozone layer healing based on the observation studies (Solomon et al, 2016). The concentration of anthropogenic ozone-depleting substances (ODSs) has decreased; consequently, global ozone amounts should return to 1980 levels during the 21st century (e.g., WMO, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…The measurement principle is similar to that of the Dobson instrument, but with improved technologies and automated operation; the Brewer spectrophotometer retrieves data on total UV (TUV), erythemal UV (EUV), TCO, and aerosol optical depth (AOD) in UV, as well as trace gases such as NO 2 and SO 2 , by measuring solar irradiance and zenith sky radiance spectra. In addition, many instruments to measure TCO have been installed, and their global network has been established extensively to monitor TCO amounts and to retrieve its vertical profile using Umkehr measurements since the 1980s (e.g., Goetz et al, 1934;Duetsch, 1959;Petropavlovskikh et al, 2005). For the satellite-based observations, long-term, global datasets have been provided with high accuracy by the Total Ozone Mapping Spectrometer (TOMS) since 1979 (Bhartia and Wellemeyer, 2002), succeeding the Solar Backscattered Ultraviolet (SBUV) and SBUV2, Global Ozone Monitoring Experiment (GOME), Scanning Imaging Absorption Spectrometer for Atmospheric chartography (SCIAMACHY), and Ozone Monitoring Instrument (OMI) .…”

Section: Introductionmentioning

confidence: 99%

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Intercomparison of total column ozone data from the Pandora spectrophotometer with Dobson, Brewer, and OMI measurements over Seoul, Korea

Kim

Cho

et al. 2017

Atmos. Meas. Tech.

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Abstract. Daily total column ozone (TCO) measured using the Pandora spectrophotometer (no. 19) was compared with data from the Dobson (no. 124) and Brewer (no. 148) spectrophotometers, as well as from the Ozone Monitoring Instrument (OMI) (with two different algorithms, Total Ozone Mapping Spectrometer (TOMS) TOMS and differential optical absorption spectroscopy (DOAS) methods), over the 2-year period between March 2012 and March 2014 at Yonsei University, Seoul, Korea. Based on the linearregression method, the TCO from Pandora is closely correlated with those from other instruments with regression coefficients (slopes) of 0.95 (Dobson), 1.00 (Brewer), 0.98 (OMI-TOMS), and 0.97 (OMI-DOAS), and determination coefficients (R2) of 0.95 (Dobson), 0.97 (Brewer), 0.96 (OMI-TOMS), and 0.95 (OMI-DOAS). The daily averaged TCO from Pandora has within 3 % differences compared to TCO values from other instruments. For the Dobson measurements in particular, the difference caused by the inconsistency in observation times when compared with the Pandora measurements was up to 12.5 % because of diurnal variations in the TCO values. However, the comparison with Brewer after matching the observation time shows agreement with large R 2 and small biases. The TCO ratio between Brewer and Pandora shows the 0.98 ± 0.03, and the distributions for relative differences between two instruments are 89.2 and 57.1 % of the total data within the error ranges of 3 and 5 %, respectively. The TCO ratio between Brewer and Pandora also is partially dependent on solar zenith angle. The error dependence by the observation geometry is essential to the further analysis focusing on the sensitivity of aerosol and the stray-light effect in the instruments.

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Section: Intercomparison Of Daily Tco Values Between (A) Dobson (Dbsupporting

confidence: 78%

Section: Tco Measured By the Pandora Dobson Brewer And Omi Instrummentioning

confidence: 99%

Section: Dobson Spectrophotometer (Beck No 124)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Intercomparison of total column ozone data from the Pandora spectrophotometer with Dobson, Brewer, and OMI measurements over Seoul, Korea

Kim

Cho

et al. 2017

Atmos. Meas. Tech.

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First comparison of OMI‐DOAS total ozone using ground‐based observations at a megacity site in East Asia: Causes of discrepancy and improvement in OMI‐DOAS total ozone during summer

et al. 2014

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This study compares, for the first time, the total ozone columns derived from the Ozone Monitoring Instrument-Differential Optical Absorption Spectroscopy (OMI-DOAS algorithm) (TOCs-OMI) with those obtained from ground-based Brewer and Dobson spectrophotometers (TOCs-Ground) in Seoul, a megacity in northeast Asia, over the 3 years between 2008 and 2010. We found a seasonal mean underestimation of 2.68% (maximum 18.33% on a single day) in TOCs-OMI when compared with TOCs-Ground from Seoul, particularly during the summer seasons (June, July, and August) of our study period: 20 of the 30 days when this underestimation of TOCs-OMI was greatest occurred during the summer. The causes of such large underestimations in summer TOCs-OMI were investigated, and we found that the ghost column densities (GCDs) used in the current OMI-DOAS algorithm did not fully account for the tropospheric ozone amounts below the cloud top in Seoul, particularly during the summer season when surface ozone is enhanced due to active photochemical reactions. We propose the use of New TOCs-OMI based on New GCDs that were calculated using ozonesonde data for the limited number of days when such data were available. The mean bias errors (MBE) against the TOCs-Ground of the New TOCs-OMI and original TOCs-OMI were À0.60% and À2.16%, respectively, which demonstrates the greater accuracy of the New TOCs-OMI. To increase the amount of New TOCs-OMI data available for comparison with the TOCs-Ground data, the regression equation for the relationship between the ozonesonde data and OMI-DOAS cloud pressure data was used to increase the availability of New GCD data for each measurement date that TOCs-OMI data were available for. This procedure reduced the MBE of the original TOCs-OMI by 1.29%, 1.67%, and 1.29% in June, July, and August, respectively. The present study demonstrates that the underestimation of GCDs is one of the major causes of the underestimation of TOCs-OMI during the summer season and suggests that improvements could be achieved using the proposed correction for these GCDs.

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Remote sensing study of ozone, NO2, and CO: some contrary effects of SARS-CoV-2 lockdown over India

Rawat

Naja

2021

Environ Sci Pollut Res

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Sudden increase in the total ozone density due to secondary ozone peaks and its effect on total ozone trends over Korea

Cited by 16 publications

References 36 publications

Intercomparison of total column ozone data from the Pandora spectrophotometer with Dobson, Brewer, and OMI measurements over Seoul, Korea

Intercomparison of total column ozone data from the Pandora spectrophotometer with Dobson, Brewer, and OMI measurements over Seoul, Korea

First comparison of OMI‐DOAS total ozone using ground‐based observations at a megacity site in East Asia: Causes of discrepancy and improvement in OMI‐DOAS total ozone during summer

Remote sensing study of ozone, NO2, and CO: some contrary effects of SARS-CoV-2 lockdown over India

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