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Regional and Mesoscale Meteorology Branch

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Training and Outreach SLIDER Loop of the Day Calibration/Validation and Visualization GOES-R Proving Ground

GOES-R Low-level jet features

Instructors:

Dan Bikos

Ed Szoke

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Topic:

Sat FC-G

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Developed:

2016

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Last Updated:

2018

Introduction

This module is part of the satellite foundational course for GOES-R (SatFC-G). This particular module covers low-level jet features. The primary learning objective of this module is to provide an introduction to how GOES-R capabilities can be utilized to identify various types of low-level jets. The majority of this module will discuss the sting jet.

Since the size of this module is greater than 100 MB, we recommend that you utilize either the Download video OR YouTube version below.

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 Learn Center

  1. Web-based video that can be taken at anytime (streamed, not recommended for low-bandwidth users). Be sure to have your speakers on and the volume loud enough to hear the presentation.

  2. YouTube video:

  3. Download video (recommended for low-bandwidth users) – This is an audio playback version in the form of an Articulate Presenter video and can be taken at anytime.

    Create a directory to download the video file from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/goes_r_low_level_jet_features/goes_r_low_level_jet_features_articulate.zip

    After extracting the files into that directory click on either the presentation.html OR index.html file and the video will begin to play in your browser.

Original Pre-Launch Version

This version of the training module debuted in the Fall of 2016 which included Himawari and pre-GOES-R era GOES imagery. Formats include:

References/Additional Links

This course is Basic

There are no prerequisites

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.