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Frank H. Ruggiero

Researcher at Air Force Research Laboratory

Publications -  10
Citations -  142

Frank H. Ruggiero is an academic researcher from Air Force Research Laboratory. The author has contributed to research in topics: Weather Research and Forecasting Model & Jet stream. The author has an hindex of 6, co-authored 9 publications receiving 137 citations.

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Lagrangian Coherent Structures near a Subtropical Jet Stream

TL;DR: In this paper, direct Lyapunov exponents and stability results are used to extract and distinguish Lagrangian coherent structures (LCS) from a three-dimensional atmospheric dataset generated from the Weather Research and Forecasting (WRF) model.

Lagrangian Coherent Structures near a Subtropical Jet Stream

TL;DR: In this paper, direct Lyapunov exponents and stability results are used to extract and distinguish Lagrangian coherent structures (LCS) from a three-dimensional atmospheric dataset generated from the Weather Research and Forecasting (WRF) model.
Journal ArticleDOI

Development and Tests of a New Distributed-Memory MM5 Adjoint

TL;DR: The Tangent Linear Model (TLM) and adjoint of the fifth-generation Pennsylvania State University-National Center for Atmospheric Research Mesoscale Model (MM5) have been developed and are now available to the meteorological community as mentioned in this paper.
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Coupled Assimilation of Geostationary Satellite Sounder Data into a Mesoscale Model Using the Bratseth Analysis Approach

TL;DR: In this article, a satellite-model coupled procedure for assimilating geostationary satellite sounder data was adapted to a mesoscale analysis and forecast system jointly developed by the Naval Research Laboratory and the Air Force Research Laboratory.
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Assimilation of Satellite Imager Data and Surface Observations to Improve Analysis of Circulations Forced by Cloud Shading Contrasts

TL;DR: In this paper, an assimilation system that performs continuous assimilation of satellite imager data and intermittent assimilation on hourly surface observations is described, applied to a case study of the southeast United States that was heavily influenced by the shading effect of an area of morning stratiform clouds.