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RAMMB: GOES-R Proving Ground Blog

  • MODIS Snow/Cloud Discriminator Example

    As part of the GOES-R Satellite Proving Ground, NASA MODIS data are being used to preview the kinds of snow detection capabilities that will become available from the GOES-R ABI.  The fading image example above demonstrates the MODIS Snow/Cloud Discriminator product, coupled with the true color product which presents the scene as “color-vision imagery” but […]

  • 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 persists for the duration of the loop (1600-0000 UTC).  Could these be low clouds / […]

  • 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 October 2011 NSSL WRF-ARW model run shows a large area of liquid water clouds (most […]

  • 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 infrared imagery from late afternoon (2000 UTC) through the late night hours (0800 UTC): http://rammb.cira.colostate.edu/templates/loop_directory.asp?data_folder=training/visit/loops/20sept11_syn&image_width=800&image_height=600 […]

  • Synthetic Fog Product

    A new synthetic difference product is now being produced from the NSSL WRF-ARW output: the fog product, or 10.35 – 3.9 μm.  In order to generate synthetic 3.9 μm imagery in a timely manner, it’s necessary to assume that it’s always night because the solar reflected calculations are too expensive.  This allows the traditional fog product […]

  • 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 infrared imagery from the 0000 UTC 25 August model run, and the corresponding GOES infrared […]

  • Low cloud/fog early detection over Lake Erie on 16 March 2011 from WFO BUF

    Sent to the BUF SOO by forecaster Kirk Apffel The new CIRA stratus/fog IR satellite worked well lateafternoon/evening.  It clearly showed low stratus and fog developingon Lake Erie, which was hardly visible on other products. It was useful because the new product captured the feature before sunset (after sunset the 11u-3.9u picked it up).

  • Comparison of CIRA Dust Products for 27 Feb 2011 Eastern NM/West TX dust storm

    Summary: (comments are given for each time) -Widespread blowing dust behind a strong dry line pushing across the western half of Texas -Compared the two CIRA dust products with AWIPS visible imagery for 3 times on 27 Feb 2011 -Also looked at MODIS true-color visible imagery

  • Synthetic Imagery for Severe Thunderstorm Forecasting

    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 imagery is model output that is displayed as though it is satellite imagery.  Analyzing synthetic […]

  • Using synthetic WRF imagery for low cloud forecasts

    On the morning of 19 Jan. 2011, a nice example of using the simulated WRF imagery to forecast low clouds presented itself.  The image on the right is the 17-hour forecast from the 00Z WRF run, and low clouds are evident in the Arkansas River Valley in southeast Colorado, as denoted with the arrow.  The […]

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