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Title: Positive low cloud and dust feedbacks amplify tropical North Atlantic Multidecadal Oscillation

Journal Article · · Geophysical Research Letters
DOI:https://doi.org/10.1002/2016GL067679· OSTI ID:1249953
 [1];  [2];  [3];  [4];  [5];  [2];  [2];  [6]
  1. Joint Center for Earth Systems Technology University of Maryland, Baltimore County Catonsville Maryland USA, Earth Science Directorate NASA Goddard Space Flight Center Greenbelt Maryland USA
  2. Earth Science Directorate NASA Goddard Space Flight Center Greenbelt Maryland USA
  3. Program for Climate Modeling Diagnosis and Intercomparison Lawrence Livermore National Laboratory Livermore California USA
  4. Earth Science Directorate NASA Goddard Space Flight Center Greenbelt Maryland USA, Earth System Science Interdisciplinary Center University of Maryland College Park Maryland USA
  5. Scripps Institute of Oceanography University of California San Diego La Jolla California USA
  6. Earth Science Directorate NASA Goddard Space Flight Center Greenbelt Maryland USA, Goddard Earth Sciences Technology and Research Universities Space Research Association Columbia Maryland USA
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Abstract The Atlantic Multidecadal Oscillation (AMO) is characterized by a horseshoe pattern of sea surface temperature (SST) anomalies and has a wide range of climatic impacts. While the tropical arm of AMO is responsible for many of these impacts, it is either too weak or completely absent in many climate model simulations. Here we show, using both observational and model evidence, that the radiative effect of positive low cloud and dust feedbacks is strong enough to generate the tropical arm of AMO, with the low cloud feedback more dominant. The feedbacks can be understood in a consistent dynamical framework: weakened tropical trade wind speed in response to a warm middle latitude SST anomaly reduces dust loading and low cloud fraction over the tropical Atlantic, which warms the tropical North Atlantic SST. Together they contribute to the appearance of the tropical arm of AMO. Most current climate models miss both the critical wind speed response and two positive feedbacks though realistic simulations of them may be essential for many climatic studies related to the AMO.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1249953
Alternate ID(s):
OSTI ID: 1261227; OSTI ID: 1409978
Report Number(s):
LLNL-JRNL-736933
Journal Information:
Geophysical Research Letters, Journal Name: Geophysical Research Letters Vol. 43 Journal Issue: 3; ISSN 0094-8276
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 65 works
Citation information provided by
Web of Science

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