Comparing NWP Synthetic / Simulated Satellite Imagery to Observed Satellite Imagery
Dan Bikos, Dan Lindsey and Lewis Grasso
This module is part of the satellite foundational course for GOES-R (SatFC-G). This particular module covers simulated / synthetic satellite imagery. Learning objectives include 1) Understand the generation, display and limitations of synthetic / simulated imagery, 2) Introduce how the use of synthetic / simulated satellite imagery from NWP can aid in the forecast process of cloud cover,low cloud / fog, convection and extra-tropical cyclogenesis, 3) How to verify synthetic / simulated satellite imagery with GOES-R imagery.
Since the size of this module is greater than 100 MB, we recommend that you utilize either the Download video OR YouTube version below.
This is a basic course. There are no prerequisites.
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
- 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. Also be sure that you are using a flash enabled browser.
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_comparing_synthetic_to_observed_satellite_imagery/goes_r_comparing_synthetic_to_observed_satellite_imagery_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. Be sure that you are using a flash enabled browser.
- Talking points are available for this lesson and may be printed out to easily review the session in detail at any time.
- VISIT training: Synthetic Imagery in Forecasting Severe Weather
- VISIT training: Synthetic Imagery in Forecasting Orographic Cirrus
- VISIT training: Synthetic Imagery in Forecasting Low Clouds and Fog
- VISIT training: Synthetic Imagery in Forecasting Cyclogenesis
- Bikos, D., Lindsey, D.T., Otkin, J., Sieglaff, J., Grasso, L., Siewert, C., Correia Jr., J., Coniglio, M., Rabin, R., Kain, J.S., and S. Dembek, 2012: Synthetic Satellite Imagery For Real-Time High Resolution Model Evaluation. Wea. Forecasting,27,784-795. http://dx.doi.org/10.1175/WAF-D-11-00130.1
- Grasso, L.D., D.T. Lindsey, K. Lim, A. Clark, and D. Bikos, 2014: Evaluation of and Suggested Improvements to the WSM6 Microphysics in WRF-ARW Using Synthetic and Observed GOES-13 Imagery. Monthly Weather Review, 142:10, 3635-3650.
- Developed: 2016
- Dan Bikos (970) 491-3777