CSU Project #: 5-31293
Sponsor: National Environmental Satellite, Data, and Information Service (NESDIS)
Primary Investigator: Dr. Louie Grasso
Co-Investigator(s): Dr. Yoo-Jeong Noh
Start Date: July 1st, 2012
End Date: June 30th, 2013

• CIRA was recently granted access to the STAR S4 Supercomputer housed in Madison, WI. This machine has sufficient processing power to efficiently use the 4-km nested NAM model output to create synthetic ABI imagery. All cloud models have variations in the details of their output, so the first portion of this project will involve configuring the CIRA Radiative Transfer Model (RTM) system, developed under previous GOES-R funding, to handle the specific output variables from the nested NAM. A portion of the Community Radiative Transfer Model (CRTM) will be used alongside the CIRA RTM to most efficiently simulate the GOES-R bands.
• After successfully installing the RTMs on S4 and creating some test images, the process will be automated so that nested NAM output will be sent to S4, the ABI bands will be created and the output will be sent back to CIRA to be distributed to our GOES-R Proving Ground Partners in real time. All output will be archived for use in GOES-R algorithm and product development, including band difference studies.

  ** No Progress Report **