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    Applications of a Moist Nonhydrostatic Formulation of the Spectral Energy Budget to Baroclinic Waves. Part I: The Lower-Stratospheric Energy Spectra 

    Source: Journal of the Atmospheric Sciences:;2015:;Volume( 072 ):;issue: 005:;page 2090
    Author(s): Peng, Jun; Zhang, Lifeng; Guan, Jiping
    Publisher: American Meteorological Society
    Abstract: he authors investigate the mesoscale dynamics that produce the lower-stratospheric energy spectra in idealized moist baroclinic waves, using the moist nonhydrostatic formulation of spectral energy budget of kinetic energy ...
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    Applications of a Moist Nonhydrostatic Formulation of the Spectral Energy Budget to Baroclinic Waves. Part II: The Upper-Tropospheric Energy Spectra 

    Source: Journal of the Atmospheric Sciences:;2015:;Volume( 072 ):;issue: 010:;page 3923
    Author(s): Peng, Jun; Zhang, Lifeng; Guan, Jiping
    Publisher: American Meteorological Society
    Abstract: n this second part of a two-part study, a newly developed moist nonhydrostatic formulation of the spectral energy budget of both kinetic energy (KE) and available potential energy (APE) is employed to investigate the ...
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    ST-TransNet: A Spatiotemporal Transformer Network for Uncertainty Estimation from a Single Deterministic Precipitation Forecast 

    Source: Monthly Weather Review:;2024:;volume( 152 ):;issue: 005:;page 1163
    Author(s): Wang, Jingnan; Wang, Xiaodong; Guan, Jiping; Zhang, Lifeng; Chang, Tao; Yu, Wei
    Publisher: American Meteorological Society
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    Mesoscale Gravity Waves in the Mei-Yu Front System 

    Source: Journal of the Atmospheric Sciences:;2017:;volume 075:;issue 002:;page 587
    Author(s): Wang, Yuan; Zhang, Lifeng; Peng, Jun; Guan, Jiping
    Publisher: American Meteorological Society
    Abstract: AbstractHigh-resolution cloud-permitting simulations with the Weather Research and Forecasting (WRF) Model are performed to study the generation, structure, and characteristics of mesoscale gravity waves in an idealized ...
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    Exploring the Differences in Kinetic Energy Spectra between the NCEP FNL and ERA5 Datasets 

    Source: Journal of the Atmospheric Sciences:;2024:;volume( 081 ):;issue: 002:;page 363
    Author(s): Li, Zongheng; Peng, Jun; Zhang, Lifeng; Guan, Jiping
    Publisher: American Meteorological Society
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