GOES-R Series Faculty Virtual Course: Severe Storms

 Available online: https://www.meted.ucar.edu/training_module.php?id=1370

In this webinar recording, Michael Bowlan explains how GOES-R/16 can help improve forecasts of severe storms and provide forecasters with real-time information about lightning, flooding potential and other hazards. The high-resolution Advanced Baseline Imager (ABI) data can indicate whether thunderstorm updrafts are gathering strength or weakening, helping aid forecasters in making warning decisions. The ABI can also aid in identifying storms and convective complexes that have stalled or are “training”, which can signal a flood risk and help forecasters issue flood or flash flood warnings sooner. Lightning data provided by the Geostationary Lightning Mapper (GLM) will help forecasters and fire analysts identify areas prone to wildfires sparked by lightning, as well as give insight into a storm’s severe potential. This is a recorded webinar presented by an instructor at his home institution. Audio variations may exist.

Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.

The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.

WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.

Language(s): English

Tags: Weather forecasting ; Atmospheric radiation ; Remote sensing ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists Add tag