Trend and Multi‐Frequency Analysis Through Empirical Mode Decomposition: An Application to a 20‐Year Record of Atmospheric Carbonyl Sulfide Measurements

The Empirical Mode Decomposition (EMD) is a fully non-parametric analysis of frequency modes and trends in a given series that is based on the data alone. We have devised an improved strategy based on a series of best practices to use EMD successfully in the analysis of the monthly time series of carbonyl sulfide (OCS) atmospheric mole fractions measured at NOAA network stations (2000–2020). Long-term trends and intra- and inter-annual variability has been assessed. After a phase of generally increasing mole fractions up to 2015, with a temporary decline around 2009, we found that the OCS atmospheric mole fraction subsequently decreased at all stations, reflecting a recent imbalance in its total sources and losses. Our analysis has revealed a characteristic time scale for variation of 8–10 years. The variance associated with this long-term behavior ranges from urn:x-wiley:2169897X:media:jgrd58461:jgrd58461-math-000115% to 40% of the total strength of the signal, depending on location. Apart from this complex long-term behavior, the OCS time series show a strong annual cycle, which primarily results from the well-known OCS uptake by vegetation. In addition, we have also found one more frequency of minor variance intensity in the measured mole fraction time-history, which corresponds to periods in the range of 2–3 years. This inter-annual variability of OCS may be linked to the Quasi-Biennial Oscillation.