Cited by 30Climate variability and modelsAtmospheric aerosols and cloudsMeteorological Phenomena and Simulations

Importance of positive cloud feedback for tropical Atlantic interhemispheric climate variability.

Myers, Timothy A., Mechoso, Carlos R., DeFlorio, Michael J.·2018·Climate Dynamics

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Crossref · 10.1007/s00382-017-3978-1

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1 of 1 references verified0 citation errors · 0 not checkable

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  • Positive dust and cloud feedbacks on SST and climate have been established at interannual and decadal timescales in both hemispheres and are capable of amplifying the AMV.

    “Positive dust and cloud feedbacks on SST and climate have been established at interannual and decadal timescales in both hemispheres (Evan et al., 2011;Bellomo et al., 2015;Myers et al., 2018) and are capable of amplifying the AMV (Bellomo et al., 2016;Yuan et al., 2016).”

    From The tropical atlantic observing system (2019) · cites this paper as Myers et al., 2018

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Authors
Myers, T. A., Mechoso, C. R., & DeFlorio, M. J.
Affiliations
  • University of California, Los Angeles (US)
  • Jet Propulsion Laboratory (US)
Corresponding author
Myers, Timothy A.
Venue
Climate Dynamics
Published
2017-10-26
Volume
51
Issue
5-6
Pages
1707-1717
ISSN
  • 0930-7575 (ISSN-L)
  • 1432-0894
OpenAlex
W2766353996
Cited by
30
References
1
Citations by year
2026: 2 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 4 · 2020: 14 · 2019: 4 · 2018: 1
FWCI
3.44
Type
journal article
Language
en
Open access
closed
Locations
Climate Dynamics (publishedVersion)
Funders
National Oceanic and Atmospheric Administration (NA14OAR4310278)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
Keywords
Atlantic Meridional Mode, marine boundary layer clouds, sea surface temperature anomalies, sea level pressure, temperature inversion, boreal spring, CMIP5 model evaluation

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