New-generation GOES-R and JPSS satellite products offer improved capabilities for detecting and monitoring some of the more subtle elements of winter weather events, including snow squalls.
In this lesson you will investigate a snow squall case in central Pennsylvania from 18 December 2019. Throughout the lesson you'll be presented with several satellite tools in tandem with observations including radar, sounding, surface, and model data. As you analyze the observations and data, you will be asked to determine how particular satellite products can aid in different aspects of the forecast process, from identification and initial diagnosis, to monitoring the development and evolution of convection associated with snow squalls that occurred on that day.
Identify the strengths, limitations and potential synergy of GOES-R and JPSS satellite observations in order to select those products most useful for analyzing and forecasting different components of winter weather specific to a snow squall event.
Describe the benefits of applying high temporal resolution 1-minute rapid scan imaging from the GOES-R satellites.
Interpret products provided by geostationary and polar-orbiting satellites for key elements (as indicated by the quasi-linear convective system (QLCS) snow squall conceptual model) during the evolution of a snow squall weather event.
Synthesize satellite-based winter weather information from new-generation satellite products with other observations and forecast guidance (e.g. conventional surface and upper air observations, radar data, forecast model output).
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