STAR GOES-R Algorithm Working Group website National Oceanographic & Atmospheric Administration website NOAA Center for Satellite Applications and Research website

GOES-R Algorithm Working Group

State-of-the-Art alogorithms are needed to convert raw instrument data to calibrated radiances and derived geophysical parameters.

The GOES-R Algorithm Working Group

  • Develops, tests, demonstrates, validates, and provides algorithms for the end-to-end GOES-R Ground Segment
  • Provides sustained life cycle calibration/validation and product algorithm enhancement and
  • Ensures user readiness of GOES-R data and derived products.

Algorithm Working Group (AWG) Teams

AWG Application Teams and AWG Development Teams

The GOES-R AWG Applications Teams are responsible for planning and executing the activities to identify, develop, assess, select, demonstrate, and ultimately deliver the product algorithms to the Ground Segment Project.

The Development Teams support the corresponding Application Team. They execute algorithm comparisions, create pre-operational software, and support prototyping and demonstrations of GOES-R algorithm performance in a scalable operational demonstration environment.

AWG Algorithm Integration Team (AIT)

The AWG Algorithm Integration Team (AIT) is the primary interface between the AWG Application Teams, the AWG Development Teams, and the GOES-R Ground Segment Project.

AWG Proxy Data Team

Including members from STAR, STAR Cooperative Institutes, and NASA, this team brings a full range of capabilities and datasets needed by the AWG Application and Development Teams.

AWG Calibration/Validation Team

This AWG team, in conjunction with the GOES-R Calibration/Validation working group, oversees the development and implementation of the calibration of the GOES-R instruments. Its goal is to ensure that each instrument's calibration complies with the Performance and Operations Requirements Document (PORD), is referenced to recognized international standards, and conforms to "best practices" calibration practices.