DMS role in ENSO cycle in the tropics. Issue 22 (16th November 2016)

• Record Type: Journal Article
• Authors: Xu, Li; Cameron‐Smith, Philip; Russell, Lynn M.; Ghan, Steven J.; Liu, Ying; Elliott, Scott; Yang, Yang; Lou, Sijia; Lamjiri, Maryam A.; Manizza, Manfredi
• Is Part Of: Journal of geophysical research. Volume 121:Issue 22(2016)
• Page Start: 13, 537
• Page End: 13, 558
• Publication Date: 2016-11-16
• Subjects: DMS -- sulfate aerosol -- cloud -- ENSO; Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1002/2016JD025333
• Languages: English
• ISSNs: 2169-897X

Abstract

Abstract: We examined the multiyear mean and variability of dimethyl sulfide (DMS) and its relationship to sulfate aerosols, as well as cloud microphysical and radiative properties. We conducted a 150 year simulation using preindustrial conditions produced by the Community Earth System Model embedded with a dynamic DMS module. The model simulated the mean spatial distribution of DMS emissions and burden, as well as sulfur budgets associated with DMS, SO2, H2 SO4, and sulfate that were generally similar to available observations and inventories for a variety of regions. Changes in simulated sea‐to‐air DMS emissions and associated atmospheric abundance, along with associated aerosols and cloud and radiative properties, were consistently dominated by El Niño–Southern Oscillation (ENSO) cycle in the tropical Pacific region. Simulated DMS, aerosols, and clouds showed a weak positive feedback on sea surface temperature. This feedback suggests a link among DMS, aerosols, clouds, and climate on interannual timescales. The variability of DMS emissions associated with ENSO was primarily caused by a higher variation in wind speed during La Niña events. The simulation results also suggest that variations in DMS emissions increase the frequency of La Niña events but do not alter ENSO variability in terms of the standard deviation of the Niño 3 sea surface temperature anomalies. Key Points: The predicted DMS spatial distribution and sulfur budgets are similar to observations La Niña winds increase DMS emissions in the tropical Pacific region Modeled DMS, aerosols, and clouds suggest a weak positive feedback on sea surface temperature at interannual timescales