100 likes | 198 Views
Correlation and Time Series Analysis of Tropospheric Hydroxyl Radicals and Solar Ultraviolet Radiation. Zhijun Zhao EAS4803 Class Project April, 2008. Background. Hydroxyl radical (OH): Atmospheric detergent Extremely reactive Lifetime <1s
E N D
Correlation and Time Series Analysis of Tropospheric Hydroxyl Radicals and Solar Ultraviolet Radiation Zhijun Zhao EAS4803 Class Project April, 2008
Background Hydroxyl radical (OH): Atmospheric detergent Extremely reactive Lifetime <1s Concentration < 1 x 107 molecule cm-3 (0.4pptv) Major Source: O3 + hν→ O(1D) + O2 ( λ < 330 nm) O(1D) + H2O → 2 OH Major Sinks: OH + CO + O2 → CO2 + HO2 OH + hydrocarbons, etc → HO2 + … OH + NO2 + M → HNO3 + M
Objective • Use measured long term OH and J(O1D) data to verify the dependence of [OH] and solar ultraviolet radiation • Employ time series analysis to illustrate the periodicity of [OH] and solar ultraviolet radiation • Use cross spectral analysis to show their correlation in the frequency domain.
Data source Meteorological Observatory Hohenpeissenberg (MOHp) in Germany 1999-2003 Data converted to 1 hour average. In this project, data have been sorted into monthly averages in some of the experiment to show the long term behavior Acknowledge to Prof. Harald Berresheim in National University of Ireland Galway and Prof. Franz Rohrer in Forschungszentrum Juelich (FZJ), Institut ICG-2: Troposphare Rohrer and Berresheim, Nature, 442, 13, 184-187, 2006
Data monthly data 1 hour data
Regression and Correlation Analysis 1 hour data monthly data
Time Series Analysis For the whole 1h data, use Least-square Spectral Analysis (LSSA) by Lomb-Scargle method because data are not evenly distributed J(O1D) PSD [OH] PSD Major frequencies: ~1 (1 day) ~0.0028 (360 day) Select a small portion of data, interpolate to get evenly distributed data, use periodogram, obtain major long frequency
Time Series Analysis For monthly average data Major period: 12 month
Cross Spectral Analysis Cross-spectral analysis via Welch method Coherence
Conclusion • Regression and time series analysis were used to study the [OH] and J(O1D). • Strong correlation between [OH] and J(O1D) was found with little annual variation. • The daily and annual variation of both [OH] and J(O1D) was demonstrated by periodogram, which are highly correlated shown by cross spectral analysis