John S. Snook
National Oceanic and Atmospheric Administration
7 Papers
87 Citations
John S. Snook is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Regional Atmospheric Modeling System & Storm. The author has an hindex of 5, co-authored 6 publications.
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Papers
Local-Domain Mesoscale Analysis and Forecast Model Support for the 1996 Centennial Olympic Games
TL;DR: The Olympic Weather Support System (OWSS) developed by the National Weather Service (NWS) to provide specialized operational weather support for the 1996 Centennial Olympic Games in Atlanta as discussed by the authors.
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A Rocky Mountain Storm. Part II: The Forest Blowdown over the West Slope of the Northern Colorado Mountains—Observations, Analysis, and Modeling
TL;DR: In this article, the authors described the observations and modeling of a blizzard event in the Rocky Mountain states over the 3-day period of 24-26 October 1997, where wind gusts in excess of 50 m s−1 were estimated west of the Continental Divide near Steamboat Springs in northern Colorado.
Current Techniques for Real-Time Evaluation of Conditional Symmetric Instability
TL;DR: In this article, a case study is presented to illustrate current conditional symmetric instability (CSI) evaluation techniques and techniques to apply CSI theory utilizing the new operational instrumentation are discussed.
20
LAPS/RAMS. A nonhydrostatic mesoscale numerical modeling system configured for operational use
TL;DR: Model validation results suggest that the LAPS/RAMS system is capable of resolving meso-β-scale, often terrain-forced, flow patterns and the three-dimensional visualization of the model output allows the operational forecaster to rapidly peruse the enormous amounts of data and aids the meteorologist's ability to comprehend and conceptualize mesoscale weather events.
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The First Seasonal Snowfall Impacts Plant Photosynthesis and Monoterpene Emissions
TL;DR: The authors measured photosynthesis and speciated monoterpene emissions from leaves of one cultivar of Liriodendron tulipifera prior to, during, and following the first seasonal snow event.