Author Archives: Dan_Bikos

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

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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

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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

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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

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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

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A known limitation of the observed and synthetic Fog Product

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

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Synthetic Satellite Imagery in Temperature Forecasting

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

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Synthetic Imagery for Hurricane Irene

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

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