VISIT Training Resources

Click on the thumbnail images or links below to launch/redirect to each training course.

Virtual Institute for Satellite Integration Training (VISIT)

COMET logoVirtual Institute for Satellite Integration Training (VISIT) is a joint effort involving NOAA Cooperative Institutes, the National Environmental Satellite Data and Information Service (NESDIS), and the National Weather Service (NWS). The primary mission of VISIT is to accelerate the transfer of research results based on atmospheric remote sensing data into NWS operations using distance education techniques. Training sessions include topics on Satellite Meteorology, Severe Weather, Climate, Numerical Weather Prediction, and more. Many of these modules were developed in collaboration with the Cooperative Institute for Meteorological Satellite Studies (CIMSS) and the Cooperative Institute for Research in the Atmosphere (CIRA). VISIT also provides monthly Satellite Chats to demonstrate satellite products that can be applied to operational forecasting and identify new training topics based on specific participant needs. See the VISIT Training Calendar for upcoming VISIT Satellite Chats.

A selection of VISIT training sessions specific to GOES is listed below:

Aviation Hazards

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.

Basic Operations of ABI on GOES-R

Basic Operations of ABI on GOES-R : This module is part of the GOES-R Satellite Foundational Course and covers the basic operations of the ABI on the GOES-R series.

Basic Review of Satellite Foundational Topics

Basic Review of Satellite Foundational Topics:  This training session introduces fundamentals of radiation and satellite detection of radiation. Further, it describes the GOES-16 detection spectrum and how that is related to gaseous absorption of radiation in the atmosphere.

Can total lightning help with warnings for non-supercell tornadoes?

Can total lightning help with warnings for non-supercell tornadoes? Review what a non-supercell tornado is and learn how total lightning may be related to non-supercell tornadoes.

Comparing NWP Synthetic/Simulated Satellite Imagery to Observed Satellite Imagery

Comparing NWP Synthetic/Simulated Satellite Imagery to Observed Satellite Imagery This module is part of the GOES-R Satellite Foundational Course and covers simulated/synthetic satellite imagery.

Convective Cloud-top Cooling

Convective Cloud-top Coolingt:  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.

Cyclogenesis: Analysis Utilizing Geostationary Satellite Imagery

Cyclogenesis: Analysis Utilizing Geostationary Satellite Imagery:  This module examine various conceptual models of cyclogenesis (basic, split flow, cold air, instant occlusion and in-stream) and helps forecasters learn to utilize a blend of conceptual models, satellite imagery, and NWP output in diagnosing cyclogenesis.

Ensemble Tropical Rainfall Potential (eTRaP)

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.

Forecaster Training for the GOES-R Fog/low stratus (FLS) Products

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 ABI Water Vapor Bands

GOES-R ABI Water Vapor Bands: This module is part of the GOES-R Satellite Foundational Course and covers the three water vapor bands (6.2, 7.0 and 7.3 microns) on the GOES-R Series Advanced Baseline Imager.

GOES-R Aerosols in AWIPS

GOES-R Aerosols in AWIPS: This module is part of the GOES-R Satellite Foundational Course and covers GOES-R series aerosol products.

GOES-R Atmospheric Rivers

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: Derived Motion Winds

GOES-R Baseline Product: Derived Motion Winds: This module is part of the GOES-R Satellite Foundational Course and covers the derived motion winds product.

GOES-R Baseline Product: Hurricane Intensity Estimate

GOES-R Baseline Product: Hurricane Intensity Estimate: This module is part of the GOES-R Satellite Foundational Course and provides an introduction to the Hurricane Intensity Estimate (HIE) product.

GOES-R Baseline Product: Legacy Atmospheric Profiles

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 Baseline Product: Rainfall Rate

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: Volcanic Ash

GOES-R Baseline Product: Volcanic Ash: This module is part of the GOES-R Satellite Foundational Course and covers the volcanic ash product.

GOES-R Boundary-Forced Convection

GOES-R Boundary-Forced Convection: This module is part of the GOES-R Satellite Foundational Course and covers boundary-forced convection. The primary learning objectives of this module are to identify boundaries utilizing new capabilities of the GOES-R series and identify convection forced by boundaries in GOES-R proxy imagery.

GOES-R Cloud and Microphysical Properties, fog and low stratus

GOES-R Cloud and Microphysical Properties, fog and low stratus: This module is part of the GOES-R Satellite Foundational Course and covers GOES-R series cloud products, including fog and low stratus. GOES-R cloud products, such as cloud mask, cloud-top properties (height, pressure, temperature), cloud optical depth and cloud phase can help a forecaster more completely describe cloud attributes and anticipate weather events related to specific cloud types.

GOES-R Cumulous Growth

GOES-R Cumulous Growth: This module is part of the GOES-R Satellite Foundational Course and the primary learning objective is how to make optimal use of GOES-R series capabilities in analysis of cumulus congestus/growth.

GOES-R Cyclogenesis Life Cycle

GOES-R Cyclogenesis Life Cycle: This module is part of the GOES-R Satellite Foundational Course and covers the life cycle of extra-tropical cyclogenesis.

GOES-R Cyclogenesis Potential Vorticity Concepts

GOES-R Cyclogenesis Potential Vorticity Concepts: This module is part of the GOES-R Satellite Foundational Course and covers potential vorticity concepts applied to extra-tropical cyclogenesis.

GOES-R Discrete Storms

GOES-R Discrete Storms: This module is part of the GOES-R Satellite Foundational Course and the primary learning objective is to provide an introduction to how GOES-R series capabilities can be utilized to identify and track discrete thunderstorms.

GOES-R Fire Characterization, Land Surface Temperature and Snow

GOES-R Fire Characterization, Land Surface Temperature and Snow: This module is part of the GOES-R Satellite Foundational Course and covers GOES-R series products for fire detection, land surface temperature and snow cover.

GOES-R Fog/Low Clouds: Formation and Dissipation

GOES-R Fog/Low Clouds: Formation and Dissipation: This module is part of the GOES-R Satellite Foundational Course and covers fog and low clouds. Learning objectives include ABI bands and products for detecting fog/low cloud formation and dissipation.

GOES-R General Circulation Patterns

GOES-R General Circulation Patterns: 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 to identify and monitor basic circulation features, including ridges, troughs and jets.

GOES-R Introduction to Mesoscale and Synoptic Sections

GOES-R Introduction to Mesoscale and Synoptic Sections: This module is part of the GOES-R Satellite Foundational Course and outlines the mesoscale/convection and synoptic sections of the course. The primary learning objectives of this module are to understand the structure of the mesoscale/convection and synoptic sections and also introduce specific GOES-R series capabilities applicable to these sections.

GOES-R Low-Level Jet Features

GOES-R Low-Level Jet Features: This module is part of the GOES-R Satellite Foundational Course and the primary learning objective is to provide an introduction to how GOES-R series capabilities can be utilized to identify various types of low-level jets.

GOES-R Marine and Polar Mesolows

GOES-R Marine and Polar Mesolows: 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 series capabilities for identification of marine and polar mesolows.

GOES-R Mesoscale Convective Systems

GOES-R Mesoscale Convective Systems: This module is part of the GOES-R Satellite Foundational Course and the primary learning objective is to provide an introduction to how GOES-R series capabilities can be utilized to identify and monitor the evolution of mesoscale convective systems (MCSs).

GOES-R Mountain Waves and Orographic Enhancement

GOES-R Mountain Waves and Orographic Enhancement: This module is part of the GOES-R Satellite Foundational Course and covers mountain waves and orographic enhancement. The primary learning objective of this module is to introduce GOES-R series capabilities in identification of mountain wave clouds, also known as orographic cirrus or lee wave clouds.

GOES-R Multi-Channel Interpretation Approaches

GOES-R Multi-Channel Interpretation Approaches: This module is part of the GOES-R Satellite Foundational Course and covers multi-channel interpretation approaches, including band differences and RGBs (red-blue-green).

GOES-R Pre-Convective Cloud Features

GOES-R Pre-Convective Cloud Features: This module is part of the GOES-R Satellite Foundational Course and covers pre-convective cloud features. The primary learning objective of this module is to provide an introduction to how GOES-R series capabilities can be utilized to identify various pre-convective cloud features, including cumulus streets, stable wave clouds, and the undular bore.

GOES-R Pre-Convective Environment

GOES-R Pre-Convective Environment: This module is part of the GOES-R Satellite Foundational Course and introduces GOES-R series capabilities for identification of the pre-convective environment. Specific topics include surface conditioning (differential heating), the elevated mixed layer (EML) and elevated cold fronts.

GOES Sounder Data and Products

GOES Sounder Data and Products:  Introductory-level teletraining module that provides an introduction to the data and products available from the latest generation of GOES sounder instruments, along with examples of sounder derived product imagery and their applications to weather analysis and forecasting.

GOES-R TROWAL Formation

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.

MODIS Products in AWIP

MODIS Products in AWIPS:  Basic-level VISIT teletraining lesson that describes the MODerate-resolution Imaging Spectroradiometer (MODIS) imagery and products. A variety of MODIS examples will demonstrate the unique operational utility of these new satellite products, which will help forecasters prepare for new satellite channels and products coming in the GOES-R era.

NOAA/CIMSS ProbSevere Product

NOAA/CIMSS ProbSevere Product: This training module describes the NOAA/CIMSS ProbSevere product, the advantages and uses of the product, and how to apply the product to specific case study examples.

Objective Satellite-Based Overshooting Top and Enhanced-V Anvil Thermal Couplet Signature Detection

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.

Regional Satellite Cloud Composites from GOES

Regional Satellite Cloud Composites from GOES: This module reflects how one can create and use cloud composites on a regional scale to assist with everyday forecasting tasks. Cloud composites refer to a shorter time span than cloud climatology. This module highlights simple techniques used to create the cloud composites and regional applications used to visualize weather patterns - all from the diurnal geostationary satellite.

SHyMet For Forecasters

SHyMet for Forecasters

SHyMet for Forecasters:  The Forecaster track of the SHyMet course covers satellite imagery interpretation, including feature identification, water vapor channels, and what to expect on GOES-R. There is a session on remote sensing data for operational hydrology as well as one relating to aviation hazards. Other topics include an understanding of the Dvorak method in tropical cyclone analysis and the utility of cloud composites in forecasting.

SHyMet For Interns

SHyMet for Interns

SHyMet for Interns:  The intern track will touch on Geostationary and Polar orbiting satellite basics (areal coverage and image frequency), identification of atmospheric and surface phenomena, and provide examples of the integration of meteorological techniques with satellite observing capabilities. This course is open to anyone inside or outside of NOAA who wishes to review the "basics" of satellite meteorology.

Course for GOES-R/16

SHyMet: Satellite Foundational Course for GOES-R/16

SHyMet: Satellite Foundational Course for GOES-R/16:  This National Weather Service (NWS) Satellite Foundation Course for GOES-R/16 contains 37 short training modules to bring forecasters, the scientific community, and others up-to-date on the capabilities of the GOES-R/GOES-16 satellite.

Thunderstorm Forecasting

SHyMet Severe Thunderstorm Forecasting

SHyMet Severe Thunderstorm Forecasting:  The Severe Thunderstorm Forecasting track of the SHyMet course covers how to integrate satellite imagery interpretation with other datasets in analyzing severe thunderstorm events.

Tropical SHyMet Introduction

Tropical SHyMet Introduction

Tropical SHyMet Introduction: The Tropical track of the SHyMet course will cover satellite imagery interpretation and application of satellite derived products in the tropics as well as the models used at NHC for tropical cyclone forecasting.

Synthetic Imagery in Forecasting Low Clouds and Fog

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.

Synthetic Imagery in Forecasting Cyclogenesis

Synthetic Imagery in Forecasting Cyclogenesis: This training 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 extratropical cyclogenesis. This training session builds off the previous VISIT Cyclogenesis course which stressed a blend of conceptual models, NWP output and GOES satellite imagery.

Synthetic Imagery in Forecasting Orographic Cirrus

Synthetic Imagery in Forecasting Orographic Cirrus: Forecasting orographic cirrus is important because of their influence on temperature forecasts. Utilizing synthetic imagery generated from a model is a useful way to anticipate orographic cirrus. Orographic cirrus can be more easily visualized on synthetic imagery compared to model output fields such as relative humidity over some layer. This session is helpful in learning how to use/interpret the GOES-R Proving Ground "Cloud and Moisture Imagery" products.

Synthetic Imagery in Forecasting Severe Weather

Synthetic Imagery in Forecasting Severe Weather:  This training session considers applications of the synthetic imagery towards severe weather events. 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. This session is helpful in learning how to use/interpret the GOES-R Proving Ground "Cloud and Moisture Imagery" products.

Tracking the Elevated Mixed Layer with a new GOES-R Water Vapor Band

Tracking the Elevated Mixed Layer with a new GOES-R Water Vapor Band: This training session describes a technique to track the elevated mixed layer (EML) that can be an important ingredient for severe thunderstorm events. Currently, a blend of soundings and GOES sounder 7.4 um band is utilized, however with GOES-R the 7.34 um band will be available at much higher spatial and temporal resolution, making this technique much more efficient to apply.

Tropical SHyMet Introduction

Tropical SHyMet Introduction

Tropical SHyMet Introduction: The Tropical track of the SHyMet course will cover satellite imagery interpretation and application of satellite derived products in the tropics as well as the models used at NHC for tropical cyclone forecasting.

Utility of GOES Satellite Imagery in Forecasting/Nowcasting Severe Weather

Utility of GOES Satellite Imagery in Forecasting/Nowcasting Severe Weather:  Includes information on assessing model performance, air mass identification, identification of changes in the pre-storm environment, and monitoring the changing environment.

The UW NearCasting Product

The UW NearCasting Product: This teletraining describes the University of Wisconsin CIMSS' NearCasting product, which is derived from Lagrangian model output. The variable that is predicted by the model is equivalent potential temperature at multiple levels. Thus, the model produces near-term forecasts of convective destabilization.

Visualizing the Geostationary Lightning Mapper (GLM) in AWIPS

Visualizing the Geostationary Lightning Mapper (GLM) in AWIPS: This module is part of the GOES-R Satellite Foundational Course and covers the Geostationary Lightning Mapper display in AWIPS.

Volcanoes and Volcanic Ash Part 1

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

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.

Water Vapor Imagery Analysis for Severe Weather

Water Vapor Imagery Analysis for Severe Weather: The primary objective of this session is to maximize the information available from the GOES water vapor imagery during severe weather episodes, and how to effectively utilize this information with other available datasets.

1-minute Visible Satellite Imagery Applications for Severe Thunderstorms

1-minute Visible Satellite Imagery Applications for Severe Thunderstorms: Starting with the GOES-R satellite, high temporal resolution (1-minute or 30-second) imagery will be available in AWIPS on a routine basis. This training session focuses on applications of 1-minute (or 30-second) imagery for analysis of severe thunderstorms. GOES-R high temporal resolution imagery will enable mesoanlysis of the pre-storm environment and monitoring the changing environment during the nowcast to warning decision making time period that is not possible with the current scanning schedule.