Synthetic Imagery in Forecasting Orographic Cirrus
Satellite Proving Ground
Synthetic imagery analysis in forecasting orographic cirrus (lee wave clouds) has advantages:
Orographic cirrus is more readily identified compared to looking at model output fields, such as relative humidity over a layer.
Increased temporal resolution – hourly rather than model output times (NAM – 3 hourly ; GFS – 6 hourly)
Best approach is to blend synthetic imagery (WRF-ARW, CRAS, etc.) with model output fields from multiple operational models. This method combines a visual way of identifying orographic cirrus with an ensemble approach of looking at multiple models.
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
Audio playback (recommended for low-bandwidth users) – This is an audio playback version in the form of a downloadable VISITview and can be taken at anytime.
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