DMS role in ENSO cycle in the tropics
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, H2SO4, 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. As a result, 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 deviationmore »
- Authors:
-
- Univ. of California, San Diego, La Jolla, CA (United States); Univ. of California, Irvine, CA (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Univ. of California, San Diego, La Jolla, CA (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Univ. of California, San Diego, La Jolla, CA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- National Science Foundation (NSF); Battelle Memorial Institute; USDOE, ACME; USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1343183
- Alternate Identifier(s):
- OSTI ID: 1402244
- Report Number(s):
- PNNL-SA-123189
Journal ID: ISSN 2169-897X; KP1703020
- Grant/Contract Number:
- AC05-76RL01830; AGS1048995; SC0006679; AC52‐07NA27344; AC05‐00OR22725; AC02‐05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Volume: 121; Journal Issue: 22; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; dimethyl sulfide; DMS; ENSO; El Nino-Southern Oscillation; sulfate aerosol; cloud
Citation Formats
Xu, Li, Cameron-Smith, Philip, Russell, Lynn M., Ghan, Steven J., Liu, Ying, Elliott, Scott, Yang, Yang, Lou, Sijia, Lamjiri, Maryam A., and Manizza, Manfredi. DMS role in ENSO cycle in the tropics. United States: N. p., 2016.
Web. doi:10.1002/2016JD025333.
Xu, Li, Cameron-Smith, Philip, Russell, Lynn M., Ghan, Steven J., Liu, Ying, Elliott, Scott, Yang, Yang, Lou, Sijia, Lamjiri, Maryam A., & Manizza, Manfredi. DMS role in ENSO cycle in the tropics. United States. https://doi.org/10.1002/2016JD025333
Xu, Li, Cameron-Smith, Philip, Russell, Lynn M., Ghan, Steven J., Liu, Ying, Elliott, Scott, Yang, Yang, Lou, Sijia, Lamjiri, Maryam A., and Manizza, Manfredi. Fri .
"DMS role in ENSO cycle in the tropics". United States. https://doi.org/10.1002/2016JD025333. https://www.osti.gov/servlets/purl/1343183.
@article{osti_1343183,
title = {DMS role in ENSO cycle in the tropics},
author = {Xu, Li and Cameron-Smith, Philip and Russell, Lynn M. and Ghan, Steven J. and Liu, Ying and Elliott, Scott and Yang, Yang and Lou, Sijia and Lamjiri, Maryam A. and Manizza, Manfredi},
abstractNote = {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, H2SO4, 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. As a result, 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.},
doi = {10.1002/2016JD025333},
journal = {Journal of Geophysical Research: Atmospheres},
number = 22,
volume = 121,
place = {United States},
year = {Fri Oct 28 00:00:00 EDT 2016},
month = {Fri Oct 28 00:00:00 EDT 2016}
}
Web of Science
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Works referencing / citing this record:
An ENSO-induced aerosol dipole in the west-central Pacific and its potential feedback to ENSO evolution
journal, September 2018
- Xu, Li; Yu, Jin-Yi
- Climate Dynamics, Vol. 52, Issue 9-10
Climate Feedback on Aerosol Emission and Atmospheric Concentrations
journal, January 2018
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