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Lewis D. Grasso

Researcher at Cooperative Institute for Research in the Atmosphere

Publications -  36
Citations -  2875

Lewis D. Grasso is an academic researcher from Cooperative Institute for Research in the Atmosphere. The author has contributed to research in topics: Mesoscale meteorology & Vortex. The author has an hindex of 17, co-authored 34 publications receiving 2765 citations. Previous affiliations of Lewis D. Grasso include Colorado State University.

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A comprehensive meteorological modeling system?RAMS

TL;DR: In this paper, a range of applications of the Regional Atmospheric Modeling System (RAMS), a comprehensive mesoscale meterological modeling system, are discussed, including large eddy simulations (LES) and simulations of thunderstorms, cumulus fields, mesoscales, convective systems, mid-latitude cirrus clouds, winter storms, mechanically and thermally-forced meso-scale systems, and mesoscopic atmospheric disperision.
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A New Look at the Problem of Tropical Cyclones in Vertical Shear Flow: Vortex Resiliency

TL;DR: In this paper, a new paradigm for the resiliency of tropical cyclone (TC) vortices in vertical shear flow is presented, where it is argued that the axisymmetric component of the diabatically driven secondary circulation of the TC is not directly responsible for maintaining the vertical alignment of the vortex.
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Nonhydrostatic, Three-Dimensional Perturbations to Balanced, Hurricane-Like Vortices. Part II: Symmetric Response and Nonlinear Simulations

TL;DR: In this article, the second part of a study on the dynamics of nonhydrostatic perturbations to dry, balanced, atmospheric vortices modeled after tropical cyclones was presented.
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The Wavenumber-One Instability and Trochoidal Motion of Hurricane-like Vortices

TL;DR: In this paper, the dynamics of an instability that occurs in inviscid, axisymmetric, two-dimensional vortices possessing a low-vorticity core surrounded by a high vorticity annulus was studied.
Journal Article

The differentiation between grid spacing and resolution and their application to numerical modeling

TL;DR: In this article, the authors suggest that grid spacing and resolution should not be interchangably used in cloud and mesoscale modeling community, and suggest that the grid spacing should be independent of the resolution.