11:30 〜 11:45
[AAS11-09] Characteristics of the Digital Filter Method for the Analyses of Long-term Variations of Stratospheric Ozone and Other Species with AURA/MLS Satellite Data
キーワード：オゾン、デジタルフィルター、QBO、長期トレンド
Research on the long-term trend of stratospheric ozone has been highly attractive since the discovery of huge loss of ozone over Antarctica in 1985 [1].Abundant observational and simulation studies agree on the point that the stratospheric ozone begins to recover with turnover between 1997 and 2000 [2]. As for the ozone trend, various results from linear regression analysis, named multi-linear regression (MLR) analysis, on multiple natural indices independent of each other, are consistent with differences within 5%. However, the mechanisms by which these indices of the natural variability affect the long-term variation of ozone are not yet fully understood. We designed a new method, Digital Filter (DF), to extract out the long-term component of stratospheric ozone variation. The new DF is based on the DF methods of other meteorological models, such as the CO2 concentration [3] and tropospheric ozone [4]. The DF output patterns of stratospheric equatorial ozone data from AURA/MLS satellite were found to be consistent with previous results of the QBO patterns [5]. The QBO-like signal of polar ozone from the DF method shows consistent results for both hemispheres after 2018, whereas there are irregular time variability and hemispheric asymmetry in the earlier periods. In this presentation, we show the scheme of the DF method we used and report its long-term output of variations in ozone and other minor constituents.
References
1. Farman J., Gardiner B. & Shanklin J. Large losses of total ozone in Antarctica reveal seasonal ClOx/NOx interaction. Nature 315, 207–210 (1985). doi:10.1038/315207a0
2. Petropavlovskikh I., Godin-Beekmann S., Hubert D., Damadeo R., Hassler B., Sofieva V. (Eds.) SPARC/IO3C/GAW Report on Long-term Ozone Trends and Uncertainties in the Stratosphere. , SPARC Report No. 9, GAW Report No. 241, WCRP-17/2018, doi: 10.17874/f899e57a20b
3. Nakazawa T., Ishizawa M., Higuchi K. and Trivett N.B.A. (1997), Two Curve Fitting Methods Applied to CO2 Flask Data Environmetrics, 8: 197-218, https://doi.org/10.1002/(SICI)1099-095X(199705)8:3<197::AID-ENV248>3.0.CO;2-C
4. Rao S.T. & Zurbenko Igot G. (1994) Detecting and Tracking Changes in Ozone Air Quality, Air & Waste, 44:9, 1089-1092, doi: 10.1080/10473289.1994.10467303
5. Baldwin M. P., et al. (2001), The quasi-biennial oscillation, Rev. Geophys., 39( 2), 179– 229, doi: 10.1029/1999RG000073
References
1. Farman J., Gardiner B. & Shanklin J. Large losses of total ozone in Antarctica reveal seasonal ClOx/NOx interaction. Nature 315, 207–210 (1985). doi:10.1038/315207a0
2. Petropavlovskikh I., Godin-Beekmann S., Hubert D., Damadeo R., Hassler B., Sofieva V. (Eds.) SPARC/IO3C/GAW Report on Long-term Ozone Trends and Uncertainties in the Stratosphere. , SPARC Report No. 9, GAW Report No. 241, WCRP-17/2018, doi: 10.17874/f899e57a20b
3. Nakazawa T., Ishizawa M., Higuchi K. and Trivett N.B.A. (1997), Two Curve Fitting Methods Applied to CO2 Flask Data Environmetrics, 8: 197-218, https://doi.org/10.1002/(SICI)1099-095X(199705)8:3<197::AID-ENV248>3.0.CO;2-C
4. Rao S.T. & Zurbenko Igot G. (1994) Detecting and Tracking Changes in Ozone Air Quality, Air & Waste, 44:9, 1089-1092, doi: 10.1080/10473289.1994.10467303
5. Baldwin M. P., et al. (2001), The quasi-biennial oscillation, Rev. Geophys., 39( 2), 179– 229, doi: 10.1029/1999RG000073