Hi GEONETCasters!
Please download the latest version of the GEONETCast-Americas Illustrated Product Catalog by clicking at the image below:
In this updated version we have added the Derived Motion Winds Product (page 9).
Completely forgot to add these on previous versions 🙂
Hi GEONETCasters!
Please download the latest version of the GEONETCast-Americas Illustrated Product Catalog by clicking at the image below:
In this updated version we have added the recently added GLM product (page 9).
Hi GEONETCasters,
The AmeriGEOSS Week 2018 will take place from 6 to 10 August at the National Institute for Space Research (Instituto Nacional de Pesquisas Espaciais – INPE) in São José dos Campos, São Paulo State, Brazil.
More information at this link. Please find below the content of te GOES-16 and GNC-A courses:
GOES-16 Data and Product Usage
Description: This is a hands-on course which will present the use of the data and products from the GOES-16 series of satellites, focusing specifically on the data and products coming from the GOES-16 Advanced Baseline Imager (ABI). The workshop will be in Spanish.
By the end of the course, the participants will have:
• Working knowledge of all 16 channels coming from the GOES East ABI and the data and products that are available from them.
• Working knowledge of the data and products from the other instruments on the satellite.
• Competency in working with GOES East ABI data and products for forecasting, prediction, monitoring or research through hands-on exercises and case studies.
• Knowledge of the various methods to access GOES East data and products.
Level: Intermediate (participants will need to have 2 to 3 years of experience in the use of satellite data)
Length: 12 hours
Contact:
Eric Madsen ([email protected]) and Martin Medina ([email protected])
GEONETCast Americas (GNC-A)
Description: The course will cover an introduction to the products and data coming over the GEONETCast Americas (GNC-A) satellite broadcast system, the installation and maintenance of a GNC-A ground station, the management of the data and products come out of the GNC-A system, other methods for accessing NOAA satellite data. A hands-on portion of the workshop will focus specifically on the use of GNC-A products including the data and products coming from the GOES-16 Advanced Baseline Imager (ABI) and other satellite data. The workshop will be in Spanish.
Level: Intermediate (desirable interest in obtaining a GNC-A ground station or currently using a GNC-A ground station)
Length: 8 hours
By the end of the course, the participants will have:
• Knowledge of equipment requirements and price estimate for a GNC-A station
• Knowledge of how to install a GNC-A station.
• Knowledge of how to maintain and trouble shoot problems with a GNC-A station.
• Overview of the data and products coming over GNC-A.
• Knowledge of methods to manage the data and products in GNC-A (using SIGMACast and Python)
• Knowledge of other methods for accessing NOAA satellite data:
o GRB
o EMWIN / HRIT
o PDA
o Internet
Contact: Diego Souza ([email protected])
Animation made with Python using 47 GLM 5 minutes density NetCDF’s (script in the end of this blog post!)
Animation made with Python, now with the GLM overlayed with the ABI Band 13 (script in the end of this blog post!)
Dear GEONETCasters,
As previously announced on this blog post, the GLM flash density NetCDF’s were added to the broadcast since 16:00 UTC today.
This 5 minute GLM flash density is delevoped and uploaded to GNC-A by the Satellite Division from CPTEC / INPE, the Brazilian National Institute for Space Research as a response to an action stablished by the WMO Coordination Group on Satellite Data Requirements for RA III and RA IV.
Please find below an example plot of a sample NetCDF, made with Python:
Plot made with Python – GLM Number of Flashes (Last Five Minutes) 03-15-2018, 19:45 UTC
One of the nice things about these accumulations is that the files are really small (70 kB average!). You may find the GLM NetCDF’s on the “GOES-R-GLM-Products” in your GNC-A station ingestion folder.
The naming convention is “GLM_DENS_YYYYMMDDHHMN00.nc”, where:
Each NetCDF contains an 8 x 8 km regular grid with all “flashes” and “groups” detected in the last 5 minutes (the “events” will be added in the near future). The parallax correction was applied.
For each ABI image (every 15 minutes) you’ll receive three GLM 5 minutes density files.
And below, an example plot of the GLM NetCDF overlayed with a plot of the ABI Channel 13, as in the animation on the beginning of the post:
GLM Flash Density (Last Five Minutes) overlayed with ABI Channel 13- Plot made with Python
Please find below an example script to plot the GLM NetCDF data for the whole region covered (click on the image to download). Also, you may choose any subregion in the “extent” variable:
And below, a link to download an example script to superimpose the GLM density with the ABI data (click on the image to download):
For this second script, you should use this version of the remap.py script.
Also, we are working on the SIGMACast GLM visualization too!
Please find an introduction to the GLM at the following COMET modules:
What a year for GEONETCast-Americas! More GOES-16 and JPSS products will be added in the near future!
GOES-16 GLM Sensor Unit Prior to Thermal Vacuum Testing. Credits: www.goes-r.gov
Plot Made with Python – Rainfall Rate Quantitative Precipitation Estimate derived from GOES-16 superimposed upon ABI channel 13 (July 7, 2018, 00:15 UTC)
Animation Made with Python – Rainfall Rate Quantitative Precipitation Estimate derived from GOES-16 superimposed upon ABI channel 13 (July 7, 2018, 00:15 UTC)
Animation Made with Python – Rainfall Rate Quantitative Precipitation Estimate derived from GOES-16 superimposed upon ABI channel 13 (July 7, 2018, 00:15 UTC)
Animation made with Python – Total Precipitable Water derived from GOES-16 ABI data showing rich moisture surrounding a storm (July 7, 2018, 00:15 UTC), as seen here, at the CIMMS Blog.
GOES-16 Total Precipitable Water product superimposed upon enhanced ABI channel 13 (July 7, 2018, 00:15 UTC)
GOES-R Level 2 Products GEONETCast-Americas folder
Hi GEONETCasters,
Please find below a Python script example to plot a given product from GOES-16 upon an ABI image (click at the image to download).
And please find at this link the adapted remap.py script, required to run the script above.
Stay tuned for news!
Please find below other Python and GNC-A examples:
GOES-16 and Python Tutorial Series:
GNC-A and Python Tutorials and Scripting Examples:
Hi GEONETCasters!
Please download the latest version of the GEONETCast-Americas Illustrated Product Catalog by clicking at the image below:
We have added the new products from GOES-R and JPSS, and separated the list based on the broadcast channels. Much easier now!
GEONETCasters,
Now you may access all the GNC-A Blog posts in a single page, by clicking at the button below:
GNC-A Blog 