The Geostationary Operational Environmental Satellite (GOES-R) Satellite Proving Ground project engages the National Weather Service (NWS) forecast and warning community in pre-operational demonstrations of selected capabilities anticipated from the next generation of National Oceanic and Atmospheric Administration (NOAA) geostationary earth observing systems.
The Proving Ground project objective is to bridge the gap between research and GOES-R research products to the operational weather community. Follow this link to read the GOES-R Satellite Proving Ground mission statement.
The GOES-R Proving Ground will facilitate the testing and validation of new ideas, technologies and products before they become integrated into operational use. This proving ground is an essential component of GOES-R risk reduction, which will help to ensure that users are ready for the new types of satellite imagery and products that will be available in the upcoming GOES-R era (Table of ABI bands). GOES-R is scheduled to be launched in 2015.
The Proving Ground concept will allow satellite product developers at CIMSS, CIRA, and SPoRT to be involved with National Weather Service (NWS) forecasters at an early stage in product development, providing a unique opportunity for interaction between developers and users; CIMSS, CIRA, and SPoRT will continue to build on the close relationships already established with their local and regional NWS Forecast Offices. Both the satellite product developers and the forecasters will test, apply and evaluate algorithms for new GOES-R satellite data and products using proxy and simulated data sets, including MODIS, AIRS, IASI, SEVIRI, NAST-I, NPP/VIIRS/CrIS, and model-simulated products.
For a list of CIRA’s Proving Ground product development and for detailed product descriptions please see: http://rammb2.cira.colostate.edu/research/goes-r/proving_ground/cira_product_list/
For additional Proving Ground and other training information, please go to the VISIT Blog. Training material is provided by VISIT and SHyMet.
Example of CIRA’s GeoColor product for March 1, 2010. Daytime portions of the image demonstrate a pseudo true-color capability anticipated from the ABI, and the nighttime portion of the scene demonstrates city light detection (from JPSS systems) coupled with low cloud/fog detection (red) and higher/deeper clouds in grayscale. Click the above image for a loop.
