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GOES-R Training
Overview

Training photo
The GOES-R Program is committed to providing extensive training for the operational and educational communities that will address both the end users’ and developers’ needs, bridging the gap between research and operations. Training will focus on the quantitative and qualitative use of GOES-R data and products, methods for interpreting GOES-R data, new features, capabilities and algorithms, and a better understanding of atmospheric sciences and mesoscale meteorology in preparation for the future GOES-R Series satellites.

GOES-R training is developed and provided by a number of partners across the weather enterprise through the GOES-R Proving Ground, e-learning training modules, seminars, weather event simulations, and special case studies.

The GOES-R Program has also implemented the position of “satellite liaison” to prepare forecasters for the data that will be available with GOES-R and to ease the transition to operations. Satellite liaisons are stationed at most of the National Centers and the NWS Training Center. Satellite liaisons are tasked with running the various GOES-R demonstrations within these testbed locations. They are essentially research-to-operations liaisons, improving upon training from the product developers to present to testbed participants, and providing participant feedback to the developers for further improvement.

Also, in an effort to promote more frequent communication with the user community about GOES-R science and demonstration activities, the GOES-R Program provides semi-monthly virtual science seminars. The seminars allow scientists to highlight their recent work to the rest of the community.
  Training Resources

For more information click on the GOES-R Training Approach briefing. Access the GOES-R 101 training module for a basic overview of the mission.

Training Resources by Institute
  VISIT:  The 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.
SPoRT:  NASA’s Short-term Prediction Research and Transition Center (SPoRT) provides training about specific products, discussing the strengths and weaknesses, with the goal of successfully transitioning products to operations. This training is built from surveys and direct communication with our partners. With this paradigm, the forecasters are an integral component of the transition process and not a passive recipient of data. SPoRT Product Training Modules include: Pseudo Geostationary Lightning Mapper, Lightning Mapping Array, MODIS Fog Products, GOES Fog Depth, and more.   NOAA:  The National Oceanic and Atmospheric Administration (NOAA) has a well-established training program that will support GOES-R User Readiness.
In collaboration with:
CIMSS website   CIMSS website

Training Resources by Topic
  Link to the General Satellite Meterology Training Resources
 
  Link to Aviation training modules
  Link to Climate training modules
  Link to Clouds training modules
  Link to Crysosphere training modules
  Link to hydrology training modules
  Link to Imagery training modules
  Link to Instruments training modules
  Link to Land training modules
  Link to Lightning training module
  Link to Space Weather training module
Please note:  Many of the training modules in this section are housed on external Web sites. The appearance of external links within the Training section of the GOES-R Web site does not constitute endorsement by NASA, NOAA or the U.S. Department of Commerce (DOC) of external Web sites or the information, products or services contained therein. For other than authorized activities, NASA/NOAA/DOC does not exercise any editorial control over the information you may find at these locations.
 
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