GOES-R Training: VISIT Training Resources

/ function MM_preloadImages() { //v3.0 var d=document; if(d.images){ if(!d.MM_p) d.MM_p=new Array(); var i,j=d.MM_p.length,a=MM_preloadImages.arguments; for(i=0; i 0&&parent.frames.length) { d=parent.frames[n.substring(p+1)].document; n=n.substring(0,p);} if(!(x=d[n])&&d.all) x=d.all[n]; for (i=0;!x&&i

GOES-R partial banner

Organization
Information about the GOES-R Program, industry contractors, and organizational structure.
- Program Office Org Chart Industry Contractors Contact Us Awards
Resources
FAQs, documents, related links, acronyms, glossary, site map and downloadable logos.
- FAQs Related Links Documents Acronymns Glossary Scientific Publications Site Map Downloadable Logos
Multimedia
A collection of animations, photos, and videos.
- Mission Space Segment Ground Segment Products Climate Space Weather Events
Education & Outreach
Resources to educate students, teachers, and the general public about meteorology, space science, earth-observing satellites, weather phenomena and benefits GOES-R will provide to society.
- Overview Outreach Materials Student Resources Fun and Games
User Information
Information and resources to ensure that the user community is prepared for the new types of satellite imagery and data that will be available from the GOES-R satellite series.
- Overview Conferences/Events User Systems – GOES-R Rebroadcast – HRIT / EMWIN Proving Ground – Cooperative Institutes – Demonstrations – Partners Training
- Products Baseline Future Capabilities Printable Products List Product Fact Sheets Algorithm Working Group
Mission
Mission overview, news, and history as well as detailed information on the space segment, ground segment, systems engineering, and products.
- Mission Welcome Overview – GOES History News – News Archive
- Space Segment Overview Spacecraft Launch Vehicle Instruments ABI – Improvements EXIS GLM – Lightning Detection MAG SEISS SUVI UPS
- Ground Segment Overview Functions Facilities and Antennas
- Systems Engineering Overview Working Groups
Home

GOES-R Training - VISIT Training Resources

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

Aviation Hazards: This three-part session describes the structure of aviation forecasting, statistics of hazards, and 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.	Cyclogenesis: Analysis Utilizing Geostationary Satellite: 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): 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. This training session also covers the eTRaP web-page so that the student may efficiently find the products they need.	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 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 (DPI) and their applications to weather analysis and forecasting.	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.	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: 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.
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: 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: 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: 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.
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 Convective Initiation Product: 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.	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.	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.	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.

The Satellite Hydrology and Meteorology (SHyMeT) course is dedicated to operational satellite meteorology. The goal of this course is to foster the development of satellite expertise among those who need to incorporate the latest data and products into mission critical operations. A key aspect of this satellite-training program is the linkage of new data, products, and forecasting techniques.

Currently, there are four tracks of the SHyMet course available:

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:
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.

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:
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.

For a full list of VISIT training session topics, please click here.