The doldrums - a zone of calm and variable winds in the deep tropics between the trades - were of key importance to nineteenth century maritime travel. As a result, the region was a focus in atmospheric science at that time. However, as sailing ships were replaced by steamboats, scientific interest shifted to the heavy precipitating storms within the doldrums: the deep convective systems of the intertropical convergence zone. Now, in storm-system-resolving simulations over a period of two months that cover a large part of the tropical Atlantic, the doldrums are one of the most prominent features. The doldrums are substantially less pronounced in coarser-resolution simulations that use a parameterization for convection, despite their large-scale extent. We conclude that explicitly representing the storm scale dynamics and their coupling to the surface wind on the storm-system scales helps to maintain the systems of winds that define the doldrums. We suggest that the lack of these wind systems could explain the persistent tropical precipitation biases in climate models.
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Vulcan Inc, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA 98195 USAVulcan Inc, Seattle, WA 98195 USA
Bretherton, Christopher S.
Henn, Brian
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Vulcan Inc, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA 98195 USAVulcan Inc, Seattle, WA 98195 USA
Henn, Brian
Kwa, Anna
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Vulcan Inc, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA 98195 USAVulcan Inc, Seattle, WA 98195 USA
Kwa, Anna
Brenowitz, Noah D.
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Vulcan Inc, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA 98195 USAVulcan Inc, Seattle, WA 98195 USA
Brenowitz, Noah D.
Watt-Meyer, Oliver
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Vulcan Inc, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA 98195 USAVulcan Inc, Seattle, WA 98195 USA
Watt-Meyer, Oliver
McGibbon, Jeremy
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Vulcan Inc, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA 98195 USAVulcan Inc, Seattle, WA 98195 USA
McGibbon, Jeremy
Perkins, W. Andre
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Vulcan Inc, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA 98195 USAVulcan Inc, Seattle, WA 98195 USA
Perkins, W. Andre
Clark, Spencer K.
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Vulcan Inc, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA 98195 USA
NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USAVulcan Inc, Seattle, WA 98195 USA
Clark, Spencer K.
Harris, Lucas
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NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USAVulcan Inc, Seattle, WA 98195 USA
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Atlas, R. L.
Bretherton, C. S.
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Bretherton, C. S.
Khairoutdinov, M. F.
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SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Khairoutdinov, M. F.
Blossey, P. N.
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
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Max Planck Insititute Meteorol, Hamburg, Germany
Int Max Planck Res Sch Earth Syst Modeling IMPRS E, Hamburg, GermanyMax Planck Insititute Meteorol, Hamburg, Germany
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Turbeville, S. M.
Nugent, J. M.
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Nugent, J. M.
Ackerman, T. P.
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Ackerman, T. P.
Bretherton, C. S.
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Allen Inst Artificial Intelligence, Seattle, WA USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
Bretherton, C. S.
Blossey, P. N.
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Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USAUniv Washington, Dept Atmospher Sci, Seattle, WA 98195 USA