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Recent Posts
- Different ways to see snow with GOES-16 imagery & RGBs – by Ed Szoke & Dan Bikos
- Can GLM Total Lightning help with warning for non-supercell (landspout) tornadoes? A case from Iowa on 29 May 2019.
- Blowing Dust associated with 10-11 April 2019 Central US Strong Cyclone
- Rapid ice cover development over the eastern Great Lakes in late January 2019
- Daytime fog over snow in Wyoming on 21 November 2018
Recent Comments
- Scott Bachmeier on Himawari imagery of 924 mb low in the Pacific
- Göğüs Küçültme on A look at the 16 Jan 2014 dust storm in eastern Colorado using VIIRS imagery
- Scott Bachmeier on An even stronger cold front and even more blowing dust – 18 March 2014
- Scott Lindstrom on Fog and Low Clouds in Eastern Colorado as seen with GeoColor and Day Night Band NPP VIIRS imagery on 20 Dec 2013
- Steve Miller on Comparison of CIRA Dust Products for 27 Feb 2011 Eastern NM/West TX dust storm
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Author Archives: Dan_Bikos
10 November 2014 Colorado Dust Storm Matched to Aircraft Photo
By Steve Miller (CIRA) This blog entry is in Powerpoint show format, click on the link below to view the Powerpoint show: Powerpoint show file
Leeside cold front of 10 November 2014: Blowing dust and deep-tropospheric gravity waves
A strong cold front pushed southward across the Plains during the day on November 10, 2014. The temperature gradient across the front was quite dramatic, as seen by the surface observations at 23:00 UTC: Visible imagery from GOES-East during the … Continue reading
Convective Initiation Application via the Split Window Difference product
One of the exciting new products that will be available on GOES-R is the split window difference (SWD) which is simply the difference between the 10.35 micron and 12.3 micrometer channels. This channel difference has been shown to provide information … Continue reading
GOES-14 SRSO for 11 May 2014 Severe Weather Event
GOES-14 was operating on super rapid scan operations schedule for May 11, 2014, meaning that images were being taken every 1 minute. This high temporal resolution data will be routinely available for severe weather events with GOES-R, therefore it is … Continue reading
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Great Lakes Ice Cover
The exceptionally cold winter over the Great Lakes region has led to relatively high ice coverage across the Great Lakes. The GLERL analysis of ice cover percentage across the Great Lakes is 91% as of March 4: To put this … Continue reading
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Orographic Cirrus of 18 December 2013
Orographic cirrus (i.e., mountain wave) clouds can have a significant influence on temperature forecasts, particularly during the cold season when a reduction in insolation can drastically affect temperatures during the daytime. On December 18, 2013 the CIRA synthetic 4-km NSSL-WRF … Continue reading
October 17, 2012 fog over Wisconsin
Let’s examine the synthetic low cloud / fog product from the 4-km NSSL WRF-ARW model. This is from the 0000 UTC 17 October run valid between 0900-1600 UTC 17 October: http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/17oct12_syn_fog&image_width=1020&image_height=900 Low cloud / fog is depicted as blue in … Continue reading
Synthetic low cloud / fog imagery to forecast stratus
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
Synthetic Fog Product – November 19/20, 2011 example
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
Snow Cover Representation in the Synthetic Imagery
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