Works matching AU Mohebalhojeh, Ali R.
Results: 24
Using machine learning to estimate Inertia-Gravity Waves properties from a coarse-grained description of the flow.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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The Contour-Advective Semi-Lagrangian Algorithm for the Shallow Water Equations.
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- Monthly Weather Review, 1999, v. 127, n. 7, p. 1, doi. 10.1175/1520-0493(1999)127<1551:TCASLA>2.0.CO;2
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Comparison of mechanical and thermal effects of lake urmia: a case study.
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- Meteorology & Atmospheric Physics, 2021, v. 133, n. 1, p. 109, doi. 10.1007/s00703-020-00742-5
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Impacts of the QBO and ENSO on upper‐tropospheric Rossby‐wave activity associated with the North Atlantic and Mediterranean storm tracks.
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- Quarterly Journal of the Royal Meteorological Society, 2022, v. 148, n. 749, p. 3869, doi. 10.1002/qj.4392
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An assessment of radiative impacts of CO<sub>2</sub> on baroclinic instability using idealized life cycles.
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- Quarterly Journal of the Royal Meteorological Society, 2022, v. 148, n. 743, p. 891, doi. 10.1002/qj.4237
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The diabatic contour‐advective semi‐Lagrangian algorithms for the dynamical core of global models in terrain‐following isentropic and pressure vertical coordinates.
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- Quarterly Journal of the Royal Meteorological Society, 2020, v. 146, n. 733, p. 3715, doi. 10.1002/qj.3868
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The assessment of the equatorial counterpart of the quasi-geostrophic model.
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- Quarterly Journal of the Royal Meteorological Society, 2011, v. 137, n. 658, p. 1327, doi. 10.1002/qj.835
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On the momentum equation for the quasi-geostrophic model.
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- Quarterly Journal of the Royal Meteorological Society, 2009, v. 135, n. 643, p. 1638, doi. 10.1002/qj.462
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The Spatiotemporal Variability of Nonorographic Gravity Wave Energy and Relation to Its Source Functions.
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- Monthly Weather Review, 2020, v. 148, n. 12, p. 4837, doi. 10.1175/MWR-D-20-0195.1
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Using Polynomial Regression in Designing the Time Filters for the Leapfrog Time-Stepping Scheme.
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- Monthly Weather Review, 2017, v. 145, n. 5, p. 1779, doi. 10.1175/MWR-D-16-0380.1
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Toward a PV-Based Algorithm for the Dynamical Core of Hydrostatic Global Models.
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- Monthly Weather Review, 2016, v. 144, n. 7, p. 2481, doi. 10.1175/MWR-D-15-0379.1
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The Diabatic Contour-Advective Semi-Lagrangian Algorithms for the Spherical Shallow Water Equations.
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- Monthly Weather Review, 2009, v. 137, n. 9, p. 2979, doi. 10.1175/2009MWR2717.1
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Assessing the Numerical Accuracy of Complex Spherical Shallow-Water Flows.
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- Monthly Weather Review, 2007, v. 135, n. 11, p. 3876, doi. 10.1175/2007MWR2036.1
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Using Machine Learning to Estimate Nonorographic Gravity Wave Characteristics at Source Levels.
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- Journal of the Atmospheric Sciences, 2023, v. 80, n. 2, p. 419, doi. 10.1175/JAS-D-22-0021.1
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Application of the Compressible, Nonhydrostatic, Balanced Omega Equation in Estimating Diabatic Forcing for Parameterization of Inertia–Gravity Waves: Case Study of Moist Baroclinic Waves Using WRF.
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- Journal of the Atmospheric Sciences, 2020, v. 77, n. 1, p. 113, doi. 10.1175/JAS-D-19-0039.1
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On the Quantification of Imbalance and Inertia–Gravity Waves Generated in Numerical Simulations of Moist Baroclinic Waves Using the WRF Model.
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- Journal of the Atmospheric Sciences, 2018, v. 75, n. 12, p. 4241, doi. 10.1175/JAS-D-16-0366.1
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On the Quantification of Imbalance and Inertia--Gravity Waves Generated in Numerical Simulations of Moist Baroclinic Waves Using the WRF Model.
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- Journal of the Atmospheric Sciences, 2017, v. 74, n. 12, p. 4241, doi. 10.1175/JAS-D-16-0366.1
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Structure, Energy, and Parameterization of Inertia-Gravity Waves in Dry and Moist Simulations of a Baroclinic Wave Life Cycle.
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- Journal of the Atmospheric Sciences, 2014, v. 71, n. 7, p. 2390, doi. 10.1175/JAS-D-13-075.1
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On Imbalance Generated by Vortical Hows in a Two-Layer Spherical Boussinesq Primitive Equation Model.
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- Journal of the Atmospheric Sciences, 2012, v. 69, n. 9, p. 2819, doi. 10.1175/JAS-D-11-0318.1
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Revisiting Vacillations in Shallow-Water Models of the Stratosphere Using Potential-Vorticity-Based Numerical Algorithms.
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- Journal of the Atmospheric Sciences, 2011, v. 68, n. 5, p. 1007, doi. 10.1175/2011JAS3622.1
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Local Mass Conservation and Velocity Splitting in PV-Based Balanced Models. Part I: The Hyperbalance Equations.
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- Journal of the Atmospheric Sciences, 2007, v. 64, n. 6, p. 1782, doi. 10.1175/JAS3933.1
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Local Mass Conservation and Velocity Splitting in PV-Based Balanced Models. Part II: Numerical Results.
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- Journal of the Atmospheric Sciences, 2007, v. 64, n. 6, p. 1794, doi. 10.1175/JAS3934.1
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The equatorial counterpart of the quasi-geostrophic model.
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- Journal of Fluid Mechanics, 2009, v. 637, n. 1, p. 327, doi. 10.1017/S0022112009008052
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Impacts of the QBO on the North Atlantic and Mediterranean storm tracks: An energetic perspective.
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- Geophysical Research Letters, 2017, v. 44, n. 2, p. 1060, doi. 10.1002/2016GL072056
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