High-resolution global simulations over zonally symmetric aqua planets are examined using Fourier analysis in the zonal direction. We highlight the tropics, where the large-scale weather consists of convectively-coupled waves so that explicit convection is an especially topical novelty. Squared differences between pairs of runs grow from initially tiny values to saturation at twice the climatological variance. For wavelengths shorter than 10(3) km, differences saturate within about a day. For tropical long waves, the time to saturation indicates predictability for at least 2 weeks. This time scale is similar in middle latitude flow, which interacts with tropical waves in the 3D model, but it is also similar in 2D pseudo-equatorial vertical plane simulations of pure convectively coupled gravity waves. As a result, no simple conclusions can be drawn about whether tropical predictability is limited more by tropical chaos or by tropical-extratropical interactions. Difference growth appears to fill out the saturation energy spectrum in a "vertical" (up-magnitude) rather than "horizontal" (up-scale) manner. Up-scale growth thus occurs as a continuing amplification of large scales after small scales saturate, which begs the question of what sets the shape of the saturation (climatological) power spectra. Wind spectra are nearly power-law with a logarithmic slope of about -5/3 in the free troposphere, remarkably so in the 2D runs and clearly distinct from slope -2 (a null hypothesis of spectrally white wind divergence). A common interpretation of -5/3 slope - as indicative of a cascade, a steady conservative transfer of energy from source to sink scales by interactions that are local in log-wavelength space - is hard to apply to these moist tropical waves.
机构:Seoul Natl Univ, Sch Earth & Environm Sci, Climate Environm Syst Res Ctr, Seoul 151742, South Korea
Lee, MI
Kang, IS
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Seoul Natl Univ, Sch Earth & Environm Sci, Climate Environm Syst Res Ctr, Seoul 151742, South KoreaSeoul Natl Univ, Sch Earth & Environm Sci, Climate Environm Syst Res Ctr, Seoul 151742, South Korea
Kang, IS
Mapes, BE
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机构:Seoul Natl Univ, Sch Earth & Environm Sci, Climate Environm Syst Res Ctr, Seoul 151742, South Korea
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State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences
Graduate University of Chinese Academy of SciencesState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences
YU Hai-Yang
BAO Qing
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State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of SciencesState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences
BAO Qing
ZHOU Lin-Jiong
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State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences
Graduate University of Chinese Academy of SciencesState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences
ZHOU Lin-Jiong
WANG Xiao-Cong
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State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of SciencesState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences
WANG Xiao-Cong
LIU Yi-Min
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State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of SciencesState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences
机构:
Chinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing 100029, Peoples R China
Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R ChinaChinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing 100029, Peoples R China
Yu Hai-Yang
Bao Qing
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Chinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing 100029, Peoples R ChinaChinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing 100029, Peoples R China
Bao Qing
Zhou Lin-Jiong
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Chinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing 100029, Peoples R China
Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R ChinaChinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing 100029, Peoples R China
Zhou Lin-Jiong
Wang Xiao-Cong
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Chinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing 100029, Peoples R ChinaChinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing 100029, Peoples R China
Wang Xiao-Cong
Liu Yi-Min
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Chinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing 100029, Peoples R ChinaChinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing 100029, Peoples R China