Atmospheric Dust: Atmospheric dust storms are common in many of the world's semi-arid and arid regions and can impact local, regional, and even global weather, agriculture, public health, transportation, industry, and ocean health. This module takes a multifaceted approach to studying atmospheric dust storms. This module is also available in French and Spanish.
Recognition and Impact of VorticMaxiity ma and Minima in Satellite Imagery: Vorticity maxima and minima signatures are common features of the atmosphere. They indicate areas of ascending and descending circulation and atmospheric forcing and can be used to diagnose dynamic features such as the axis of maximum winds and deformation zones. This module provides insight on the analysis of these dynamic atmospheric features using Meteosat Second Generation (MSG) satellite imagery.
Satellite Monitoring of Atmospheric Composition: This module provides an overview of the use of satellites in monitoring of atmospheric composition to provide important information for a number of applications, including stratospheric ozone monitoring, long-range pollutant transport, biomass burning, air quality monitoring and forecasting, and climate change.
Satellite Feature Identification: Atmospheric Rivers: Presents the global moisture transport phenomenon known as the Atmospheric River (AR). ARs are responsible for transporting the majority of maritime moisture from low to middle latitudes.
Satellite Feature Identification: Deformation Zone Analysis: The quick analysis of deformation zones provides an overview of system-relative atmospheric circulations. Since deformation is a primary factor in frontogenesis and frontolysis, understanding of these system-relative circulations is crucial to the diagnosis of atmospheric processes and weather prediction. This module is also available in Spanish and French.
Satellite Feature Identification: Deformation Zone Diagnosis: Following an analysis of the main features of a deformation zone, the diagnosis of temporal and spatial changes in these features can be used to deduce underlying meteorological processes and their progression. In turn, this knowledge can then be used in the forecast process to adjust the forecast accordingly. This module is also available in French.
Satellite Feature Identification: Deformation Zone Distribution: The distribution of vorticity centres along an axis of maximum winds follows a fairly predictable pattern based on the characteristics of the flow. By diagnosing these characteristics, the meteorologist is able to quickly deduce the location and relative intensities of the associated vorticity centres as well as the relative sizes of the associated circulations.
RGB Dust (pdf): A two-page reference document that describes the fundamental aspects of the RGB Dust imagery product and includes a large dust event.
GOES-R Aerosols in AWIPS: This module is part of the GOES-R Satellite Foundational Course and covers GOES-R series aerosol products.