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GOES High Density Winds

Instructors:

Scott Bachmeier

|

Topic:

Archived Training

Intern Course

|

Developed:

2006

Other contributors: Chris Velden, Dave Stettner, Jeff Key, Kris Bedka, Jaime Daniels, Kevin Schrab, Brian Gockel, David Miller

Introduction


The objectives of this session are:

  1. Review techniques for deriving satellite winds (Atmospheric Motion Vectors)
  2. Provide details on AWIPS display of GOES High Density Winds
  3. Highlight latest winds research activities

Training Session Options


  1. Audio playback – This VISITview file contains recorded audio and annotations and can be taken at anytime. Certificates of completion for NOAA employees can be obtained through your Science Operation Officer or training point of contact.
    Create a directory, then download the audio playback file (it is about 274 MB in size) from the following site into that directory:
    ftp://rammftp.cira.colostate.edu/SHyMet/course_materials/winds_2006jan17_audio.exe
    OR
    ftp://ftp.ssec.wisc.edu/visit/winds_2006jan17_audio.exe
    After extracting the files into that directory click on the visitplay.bat file to start the lesson.
  •  

References/Additional Links


  • Velden, et al., 2005: Recent Innovations in Deriving Tropospheric Winds from Meteorological SatellitesBulletin of the American Meteorological Society: Vol. 86, No. 2, pp. 205-223.
  • Bedka and Mecikalski, 2005: Application of Satellite-Derived Atmospheric Motion Vectors for Estimating Mesoscale FlowJournal of Applied Meteorology: Vol. 44, No. 11, pp. 1761-1772.
  • GOES High Density Winds and Derived Products: Atlantic | Pacific (CIMSS Tropical Cyclones)
  • GOES High Density Winds: NESDIS FPDT | NOAA Geostationary Satellite Server
  • Upper Level Wind Analysis from GOES Water Vapor Winds (Experimental – CIMSS/NSSL)
This course is Basic

There are no prerequisites

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.