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NO 2 VCD Stratospheric trends: Hemispheric and latitudinal dependence

NO 2 VCD Stratospheric trends: Hemispheric and latitudinal dependence. M. Gil-Ojeda, M. Yela, M. Navarro, C. Robles, F. Hase, B. Funke, O. Puentedura, J. Iglesias, E. Cuevas. Motivation. Background concentration of N 2 O.

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NO 2 VCD Stratospheric trends: Hemispheric and latitudinal dependence

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  1. NO2 VCD Stratospheric trends: Hemispheric and latitudinal dependence M. Gil-Ojeda, M. Yela, M. Navarro, C. Robles, F. Hase, B. Funke, O. Puentedura, J. Iglesias, E. Cuevas.

  2. Motivation Background concentration of N2O + N2O increasing at a steady rate of 2.20%/decade in last 36 years (1978-2015) + No signs of damping. + Lifetime of 120-150 years + Major contribution to NOx in the stratosphere + Signature of increase should be observed on long NO2 VCD records

  3. INTA Stations for stratospheric monitoring + Zenith DOAS at twilight + Background stations in clean environments: tropospheric NO2 by pollution not an issue 28ºN. Izaña: FT NO2 (20-40 pptv) 54ºS. Ushuaia -> GAW in the Beagle channel 64ºS. Marambio -> Seymour Island. Antarctic Peninsula 78ºS. Belgrano -> Antarctic mainland + NDACC or NDACC applied instruments.

  4. Datasets 1993-2014 Izaña (28ºN) 1994-2014 Ushuaia (55ºS) 1994-2014 Marambio (64ºS) 1995-2014 Belgrano (28ºN)

  5. Multiple regression Statistic model (Stolarski,1991, Brunner,2006, Bodeker,1998, 2001 Other predictor terms trend seasonality Y(t) = NO2 measured column in t time a = intercept (offset) Xj = explanatory function (Predictor) j = Coefficient of the explanatory function Xj t = time from measurements start (in months)  = noise in time t residual Monthly means data used for the analysis Consideration of model errors and auto-correlations as described in Stiller et al., 2012.

  6. Predictors: • Offset (a) • Trend (0.t) • Seasonal terms (annual, semiannual, quartely) • Solar activity (10.7cm flux) -> Penticton radio flux data stored in GCMD/NASA • QBO (10hPa and 30 hPa zonal winds over a mean of 3 tropical stations, 2 quasi-orthogonal predictors) -> Berlin_FU. • Stratospheric aerosols optical thickness (Sato et al. 1998) -> Stored in GISS/NASA. • ENSO (multivariate ENSO index MEI) -> (MEI variables: SAT, SST, Wind, Pres, Clouds) -> NOAA (Wolter and Timlin, 1993, 1998) stored in GCMD/NASA • NAO (Monthly normalized index from CPC.NOAA (NCEP)

  7. Izaña (28ºN) DOAS pm Black text: significant to 95%

  8. Izaña data sets Residuals with trends trend = + 7.40 ± 0.65 %/decade trend = + 8.50 ± 1..07 %/decade Izaña mean trend (1993-2014) = 7.95%/decade

  9. DOAS (am+pm)/2 FTIR SCIA OMI DOAS over 3 times larger trends than FTIR. ¿Why? FTIR at Izaña

  10. All instruments have their largest sensitivity in the stratosphere, but there are differences in vertical sensitivity between instruments At 22 km DOAS sensitivity is over 50% larger than FTIR whereas at 34 km the opposite is true FTIR-DOAS-Satellite Most of the trends occur in the lower stratosphere Probably dynamic induced

  11. MIPAS NOy Climatology (Funke et al., 2015) • Monthly zonal means (10 deg latitude bins) of NO2+NO+HNO3+2N2O5+ClONO2+HNO4 • Full global coverage (independent on solar illumination)

  12. WACCM WACCM 1980-2012 2002-2012 NOy Global Trend (B. Funke et al, 2015) 2002-2012 MIPAS • For 2002-2012, both MIPAS and WACCM show hemispherical asymmetric behavior in the lower and middle stratosphere. • WACCM 1980-2012 shows a global increase (2-5% per decade) in the polar regions and in the UT, but decrease (2%) in the LM at 30N/30S Color shading: significance (95% confidence level) 12

  13. All data series available

  14. Period 2002-2012 + Qualitative agreement between DOAS-NO2 and MIPAS NOy + Larger trends in GB instruments

  15. Possible explanation + Chemical -> Total NOy remains without significant trends (Funke, personal communication) + Dynamical -> The fact that the trends occur in the low stratosphere together with previous statement provides an evidence of dynamic changes Change in the strength of the Brewer-Dobson circulation? -> Models agree in an increase in speed in the circulation related to climate change. If this would be the case a decrease in NO2 should be seen on both hemispheres Displacement of the south subtropical barrier toward higher latitudes after year 2002 (Eckert et al., ACP 2014).

  16. Summary + A multiple linear regression has been applied to 4 ground-based zenith DOAS data sets of over 20 years (NDACC and NDACC applied unpolluted stations. + The Northern Subtropical station (Izaña, 28ºN) shows a positive trend of about 8%/decade, over 3 times larger than the N2O increase (period 1993-2014). + Other instruments (FTIR, and satellite) with higher sensitivity in the upper stratosphere show much less trend, suggesting that changes are mostly restricted to the lower stratosphere where transport dominate to the photochemistry. + Spectrometers in Southern Hemisphere show a negative trends, larger than in the NH, and the magnitude of the trend is dependent on the latitude (- 9.8% Ushuaia-55ºS, -15.0% Marambio 64ºS and -19.8% Belgrano-78ºS). + MIPAS NOy trend analysis shows qualitatively the same behaviour, although the latitudinal increase is not apparent. + Trends are very sensitive to the latitude of the station but also to the selected period -> Trends are not constant in time.

  17. Thank you for your attention

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