Skip to Navigation Skip to content

Regional and Mesoscale Meteorology Branch

Search the RAMMB website

Data Fusion in Short-Term Severe Local Storm Forecasts and Warnings Exercise: 15 June 2019 Severe Thunderstorm Event

Instructors:

Dan Bikos

Jim LaDue

Katy Christian

|

Topic:

Severe

|

Developed:

2023

Introduction


This training session will build on data fusion methodologies from the Data Fusion section of the WOC Severe Course (updated in FY21). We will apply these data fusion concepts to a severe thunderstorm case. A video of the storm of interest is used during the warning decision making process. Data fusion techniques are utilized to learn how to blend video or pictures with all other available data which can be applied to short-term forecast and warning operations of severe thunderstorms.

Training Session Options


NOAA/NWS students – to begin the training, use the web-based video, YouTube video, or audio playback options below (if present for this session). Certificates of completion for NOAA/NWS employees can be obtained by accessing the session via the Commerce Learning Center.

  1. Web-based video

References/Additional Links


This course is Advanced

The Data Fusion section of the WOC Severe Track is a prerequisite to this training.  Under the Data Fusion section, see the two “Practice and Applications from Multiple Data Sources” training sessions.

Contact

Dan Bikos

Dan.Bikos@colostate.edu

Page Contact

Bernie Connell

bernie.connell@colostate.edu

970-491-8689

Unless otherwise noted, all content on the CIRA RAMMB: VISIT, SHyMet and VLab webpages are released under a Creative Commons Attribution 3.0 License.