Enroute Icing: Aircraft icing has resulted in numerous accidents, some fatal. The problem is due, in part, to a lack of awareness on the part of aviation forecasters (and others) that icing is imminent. The lesson addresses this issue by presenting a process for forecasting enroute icing for aviation and applying it to a case over the Continental U.S.
GOES-R Series Faculty Virtual Course: Aviation Products: This course is part of a webinar series to provide university faculty and others with a solid basis for using GOES-R/16 data in coursework and student research projects. This module demonstrates the capabilities of GOES-R/16 in analyzing hazards affecting the aviation industry.
Volcanic Ash: Introduction: This introduction to a four-part series on Volcanic Ash provides a concise introduction to volcanic ash through the examples of the Mt. Pinatubo and Eyjafjallajökull eruptions. This module is also available in Spanish.
Volcanic Ash: Volcanism: This module is the second in the four-part Volcanic Ash series. It provides information about the geological and geophysical processes related to volcanic activity and volcanic ash in the atmosphere and on the ground. It discusses four types of volcanic eruptions and describes six major volcanic hazards. This module is also available in Spanish.
Volcanic Ash: Impacts to Aviation, Climate, Maritime Operations, and Society: This module is the third in the four-part Volcanic Ash series. It provides information on the impacts of an explosive volcanic eruption to aviation, climate, maritime operations and society. The threats, or impacts, from an eruption vary depending on the eruption style, duration and proximity--both in distance and altitude--to the volcano. This module is also available in Spanish.
Volcanic Ash: Observation Tools and Dispersion Models: This module is the fourth and final entry in the Volcanic Ash series. It covers the tools and techniques used for identifying and forecasting the transport of volcanic ash. This module is also available in Spanish.
Weather Decision Support for the National Airspace System: This three-hour lesson describes the impacts of weather on aviation operations and highlights the role of the National Weather Service (NWS) in supporting the Federal Aviation Administration's air traffic management organization.
Ash RGB: This micro-lesson demonstrates the value of the Ash RGB for an eruption event near Mexico City. The ash from the Popocatepetl volcano is more easily seen via the combination of infrared channels into an RGB imagery product verses a single channel or channel difference. The RGB adds value by better differentiating ash from other cloud or surface features. The RGB components are explained and a basic interpretation of the resulting colors within the image is provided.
Aviation Forecasting RGB Products: This eight-minute micro-lesson reviews some specific utilities of the nighttime microphysics RGB, the hybrid LEO/GEO fog and low cloud product, and the VIIRS day-night Band RGB relative to aviation weather forecasting. Included are a review of each of the products, as well as examples on their use individually and in tandem to help improve fog and low cloud forecasting for terminal aerodome forecasts (TAFs) and other aviation requirements.
GLM Flash Extent Density use in an Airport Weather Warning: This micro-lession highlights the use f the Geostationary Lightning Mapper (GLM) Flash Extent Density product during an operational use to produce an airport weather warning.
MODIS Fog Product: This brief, seven-minute training module highlights the use of the MODIS spectral difference, or fog product. The module presents user-provided examples gathered during the fall 2008 evaluation period.
UAH GOES-R CI: This 12-minute module briefly describes the latest operational version of UAH GOES-R CI, a 0-2 convective initiation satellite nowcasting product developed at UA Huntsville and transitioned by NASA SPoRT. GOES-R CI uses a number of algorithms to track cloud objects, identify cloud properties like growth and glaciation (and rates of change in these cloud properties), and incorporates environmental data from the RAP model to produce a likelihood, or probability, of convection for identified cloud objects. This product is available for both the GOES East and GOES West domains.
Valley fog through mid/high clouds in Southern Appalachians: This 8-minute micro-lesson demonstrates the value of multispectral (i.e. RGB imagery) to the analysis of fog and low clouds in valleys of the southern Appalachians, particularly compared to channel differencing.
Aviation Hazards: This three-part session describes the structure of aviation forecasting and statistics of hazards, and provides in-depth information on wind, turbulence, and icing, as well as discussion concerning visibility, ceilings, and convective hazards, and information regarding terrain and aviation weather.
Convective Cloud-top Cooling: This teletraining describes the University of Wisconsin Convective Initiation (UWCI) product, which tracks cloud top temperatures and cloud types to determine when a particular cloud pixel is growing in the vertical.
Forecaster Training for the GOES-R fog/low stratus (FLS) Products: Learn how the GOES-R fog/low stratus product improves upon the traditional brightness temperature difference (BTD) product, understand how the GOES-R FLS product is created, and see examples of how the product should be used in different geographic regions.
GOES-R Baseline Product: Volcanic Ash: This module is part of the GOES-R Satellite Foundational Course and covers the volcanic ash product.
Objective Satellite-Based Overshooting Top and Enhanced-V Anvil Thermal Couplet Signature Detection: In this basic course, learn how satellite data can be used objectively to detect features associated with strong thunderstorms and how overshooting tops and thermal couplets are related to severe weather.
Synthetic Imagery in Forecasting Low Clouds and Fog: This session is part of a series that focuses on applications of synthetic imagery from the NSSL 4-km WRF-ARW model. In this training session we'll consider applications of the synthetic imagery in forecasting low clouds and fog. The primary motivation for looking at synthetic imagery is that you can see many processes in an integrated way compared with looking at numerous model fields and integrating them mentally.
Volcanoes and Volcanic Ash Part 1: Part one of a two-part set that describes and discusses volcanoes and volcanic ash as hazards to people and aviation and demonstrates methods of observation, analysis and modeling.
Volcanoes and Volcanic Ash Part 2: Part two of a two-part set that describes and discusses volcanoes and volcanic ash as hazards to people and aviation and demonstrates methods of observation, analysis and modeling.