GOES-R Environmental Products

We at Atmospheric and Environmental Research (AER) are proud to support the development and deployment of the new GOES-R Ground System as a key member of the Harris GOES-R Core Ground Segment (GS) Team. (See a video overview of GOES-R.)

AER's remote sensing and systems engineering experience, combined with the knowledge and expertise of the rest of the Harris GOES-R Team, will help NOAA provide the next-generation, state-of-the-art GOES system and maintain this key national asset.

AER is working on final testing and transitioning government-provided algorithms to 24/7/365 operational software. These algorithms provide all calibrated imagery/data (Level 1b products) from the six GOES-R sensors, as well as all the GOES-R operational data (Level 2+ products).

These products include:

  • Aerosol products: Aerosol detection, suspended matter/optical depth and particle size
  • Aviation products: Volcanic ash detection and height
  • Cloud products: Cloud clear-sky mask, phase, optical depth, particle size distribution and cloud liquid water
  • Land products: Land temperature and fire/hot spot characterization
  • Lightning products: Lightning events, groups and flashes
  • Radiation products: Downward and reflected solar insolation
  • Soundings products: Legacy vertical moisture and temp profiles, stability indices and total precipitable water
  • Sea surface products: Sea surface temperature
  • Wind products: Derived motion winds and hurricane intensity

AER's remote sensing and software expertise leads the transition of these algorithms – from government-provided scientific descriptions to fully tested software ready for integration into the GOES-R Product Generation (PG) environment.

AER also plays key roles in:

  • Advancement of the GOES-R Ground Segment system performance
  • Design of the GOES-R Rebroadcasting (GRB) subsystem
  • Implementation of the GS system architecture through the co-development of the GOES-R Data Model Interface (DMI) and Algorithm Framework -- AER has continued to evolve this processing framework in its development of the Algorithm Workbench that is available to support the entire algorithm life-cycle