The first NWS GOES-16 User Applications Workshop will take place in Kansas City from 14-16 November 2017. The meeting is sponsored by the GOES-R Program, the NWS Operations Proving Ground (OPG), and the NWS Office of the Chief Learning Officer (OCLO).

The purpose of this User’s Workshop is to enable NWS WFO, RFC, CWSU, and National Center forecasters to share applied content on the use of GOES-16 in forecast and warning operations. The meeting will be held both in person and virtually over the three days so that all interested NWS staff may benefit. A significant portion of this meeting will involve "GOES-16 Application Sessions" with content harvested, developed, and presented by NWS forecasters using AWIPS/CAVE as we envision forecasters telling their stories in the system they routinely use. The sessions will be presented in the NWSTC Auditorium via a ThinClient connection to the OPG AWIPS, which allows the freedom to explore the data on the operational system during their case studies and integrated Q&A. Live streaming will be provided to virtual attendees.

The Workshop planning committee will provide instructions for accessing this site. If you have received those instructions but have difficulty logging in, please contact Note that a MetEd login is required to access the site.

Thank you for your interest in attending the “Impacts of Weather Variability and Extremes for Operations and Maintenance of Water Resources Infrastructure” course.

We’d like to inform you that due to low enrollment we will need to postpone the course offering.  We have not selected new dates for the course yet.  

In the meantime, we have published a new online lesson entitled “Reservoir Pool Elevation: Considerations for Long-term Asset Management and Planning” available at our website:

This lesson contains information that you may find useful in your work.

Thank you again,

The Asset Management course team

The Meteorological Service of Canada (MSC) and the COMET Program will host the 2017 Winter Weather Course from September 18 to 29, 2017 at the COMET classroom facilities in Boulder, Colorado, USA. The course continues to be an important component of the MSC/COMET training partnership building stronger links between atmospheric research and operational weather forecasting.

This course offers a unique learning experience that is operationally-oriented by matching training to the realities of the forecasting environment. Participants are immersed in interactive activities that are focused on addressing key winter weather phenomena presented as weather cases by working through the analysis, diagnosis and prognosis process. The learners will tackle these forecast challenges while developing a better three-dimensional understanding of the atmosphere, adding value to forecasts, and communicating with clients.

Participants interact closely with experts in the field. Through face-to-face exchanges, they are able to build connections and network with other meteorologists internationally as past courses have included forecasters from Asia, Canada, Europe and the USA.

Moreover, this course is aligned with the World Meteorological Organization Public Weather Service Competency Framework for Forecasters. There is instructional follow-up after the course to ensure knowledge transfer into operations.

In this three-day, instructor-led, online course, participants will explore the landscape of datasets, tools, and methods to assess impacts from a changing climate on surface water hydrology. The course features combined lecture and analysis exercises to showcase options that can be considered and used. Examples will illustrate decision-making processes regarding the evaluation of climate change questions across different time and space scales. Climate change questions will be applied to sample watersheds to give the students hands-on experience with applying existing tools and models.  

When: 20-22 June 2017, 9:00 AM - 4:00 PM MDT

Format: Virtual (online, instructor led)

Fee: None


Draft Agenda (subject to change):

If interested, please contact:

The GOES-R Series Faculty Virtual Course consists of a series of 7 interactive webinars to provide an introduction to the new capabilities offered by the latest-generation GOES-R series weather satellite. Registration is free for university faculty.

Wednesdays 12 pm MDT

Aug 30 - Advanced Baseline Imager (ABI) (Tim Schmit)

Sep 6 - Tropical Cyclones (Andrea Schumacher)

Sep 13 - Severe Storms (Michael Bowlan)

Oct 11 - Rapid Scan Imaging (Dan Lindsey)

Oct 18 - Aviation Products (Chad Gravelle, Amanda Terborg)

Oct  25 - Geostationary Lightning Mapper (GLM) (Scott D. Rudlosky, Geoffrey Stano)

Nov 1 - RGB (Emily Berndt, Michael Folmer)

Each session will last 45 minutes and will consist of a 25 minute presentation followed by 20 minutes of discussion time. Recordings will available online following each session.

Each session will provide the chance to interact directly with key experts in the field. The information presented will build on existing online resources (available on the MetEd website and elsewhere) and support you in incorporating GOES-16 data in coursework and student research projects. The new GOES-16 tools and data are applicable to:

  • Physical, mesoscale, and synoptic meteorology

  • Atmospheric radiation, remote sensing, and optics

  • Lightning and atmospheric physics

This course is offered by COMET® Program in partnership with NOAA NESDIS and the GOES-R Satellite Program Office. For more information including topic descriptions and information see: Please contact with any questions.

For more information on GOES-R see:  

The Korea Meteorological Administration (KMA) and the COMET Program will host a Weather Analysis Training Course from 6-17 March, 2017 at the COMET facilities in Boulder, Colorado, USA for KMA staff.

Course instructors include meteorologists from The COMET Program, U.S. universities, U.S. National Weather Service and the Meteorological Service of Canada.  

The course will feature some lectures and  interactive labs and discussions on many weather analysis, diagnosis and prognosis topics.