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RISUsing Machine Learning to Estimate Nonorographic Gravity Wave Characteristics at Source Levels
Publisher: American Meteorological Society
On the Quantification of Imbalance and Inertia–Gravity Waves Generated in Numerical Simulations of Moist Baroclinic Waves Using the WRF Model
Publisher: American Meteorological Society
Abstract: AbstractQuantification of inertia?gravity waves (IGWs) generated by upper-level jet?surface front systems and their parameterization in global models of the atmosphere relies on suitable methods to estimate the strength ...
On Imbalance Generated by Vortical Flows in a Two-Layer Spherical Boussinesq Primitive Equation Model
Publisher: American Meteorological Society
Abstract: he spontaneous adjustment emission of inertia?gravity waves is investigated by examining the amount of imbalance generated during the evolution of unstable jets in an isentropic two-layer primitive equation model on the ...
Using Machine Learning to Estimate Nonorographic Gravity Wave Characteristics at Source Levels
Publisher: American Meteorological Society
Structure, Energy, and Parameterization of Inertia–Gravity Waves in Dry and Moist Simulations of a Baroclinic Wave Life Cycle
Publisher: American Meteorological Society
Abstract: he impact of moisture on inertia?gravity wave generation is assessed for an idealized unstable baroclinic wave using the Weather Research and Forecasting Model (WRF) in a channel on the f plane. The evolution of these waves ...
The Spatiotemporal Variability of Nonorographic Gravity Wave Energy and Relation to Its Source Functions
Publisher: American Meteorological Society