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.
CIRA Blended TPW and Anomaly Products: This 30 minute module presents the CIRA Blended Total Precipitable Water (TPW) and associated TPW Anomaly products.
NESDIS GOES-R QPE: This short reference guide describes the NESDIS GOES-R Quantitative Precipitation Estimation product suite in the context of operations. GOES-R QPE uses both IR and microwave data to retrieve rainfall rates in both the GOES-East and GOES-West domains, and the mechanics of this algorithm are briefly described. The rainrate and accumulation products are shown in a number of operationally-based examples, demonstrating the uses of GOES-R QPE in different regions and environments.
Ensemble Tropical Rainfall Potential (eTRaP): Provides a basic understanding of the eTRaP product, which is used for rainfall prediction of landfalling tropical cyclones. The lesson covers the assumptions that go into creating the product, an understanding of these assumptions is crucial to interpretation of the product.
GOES-R Atmospheric Rivers: This module is part of the GOES-R Satellite Foundational Course and the primary learning objective is to learn how to make optimal use of GOES-R imagery and products in identification and tracking of atmospheric rivers.
GOES-R Baseline Product: Rainfall Rate:: This module is part of the GOES-R Satellite Foundational Course and covers the GOES-R series rainfall rate product.
GOES-R Baseline Product: Legacy Atmospheric Profiles: This module is part of the GOES-R Satellite Foundational Course and covers the legacy atmospheric profiles that are produced from the GOES-R series ABI. These vertical profiles are meant to supplant the GOES sounder DPI products.
GOES-R TROWAL Formation: This module is part of the GOES-R Satellite Foundational Course and describes the TROWAL phenomenon and suggests methods of identifying TROWALS in water vapor imagery.