Author Archives: Dan Bikos

The synthetic low cloud / fog product from the NSSL WRF-ARW model has a variety of forecasting applications.  One of those is forecasting the development of stratus clouds. The NWS forecast office in Austin / San Antonio made use of … Continue reading →

This blog entry will look at an example of the synthetic fog product (from the 4-km NSSL WRF-ARW model) for an event that took place during the overnight hours of November 19 to 20, 2011. Here is the synthetic fog … Continue reading →

Upon inspection of the synthetic infrared (10.35 micron) imagery from the NSSL WRF-ARW model: http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/13oct11_syn_ir your attention may be drawn to the region of southwest Colorado since we see a region of cold brightness temperatures  that does not move and … Continue reading →

Let’s analyze the following loop of the synthetic fog product, generated from the 4-km NSSL WRF-ARW model: http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/10oct11_syn_fog/ In this color table, grey into light blue represents increasing confidence in liquid water clouds.  Our example from the 0000 UTC 10 … Continue reading →

Synthetic satellite imagery can be useful in forecasting temperature.  This example from September 20-21, 2011 demonstrates the utility of synthetic imagery from the 4-km NSSL WRF-ARW model in forecasting the overnight low temperature. Focusing on southeast Wyoming, examine the synthetic … Continue reading →

Synthetic imagery from the 4-km NSSL-WRF ARW model is produced at CIRA and is available in real-time here: http://rammb.cira.colostate.edu/ramsdis/online/goes-r_proving_ground.asp#Synthetic%20GOES-R%20Imagery%20from%20Real-Time%20NSSL%204%20km%20WRF-ARW The following loop shows Hurricane Irene at the time it was east of Florida: http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=dev/lindsey/loops/nssl_wrf_g13_irene&image_width=1024&image_height=384 The right side shows the synthetic … Continue reading →

For this blog entry, we’ll consider applications of the NSSL 4-km WRF-ARW model synthetic imagery towards a severe weather event that occurred on June 22, 2010.  The synthetic imagery is one of the GOES-R proving ground real-time products.   Synthetic … Continue reading →