Ryan Lagerquist’s work is at the forefront of using new Machine Learning (ML)/Artificial Intelligence (AI) methods for meteorological applications and he contributed greatly to four different applications in less than two years at CIRA. Ryan works closely with researchers at both NOAA-GSL and CIRA Fort Collins, providing a strong connection between those two organizations. Ryan has become a leader in his field for his innovative ideas and cutting-edge research in machine learning, an area of significant importance in meteorology. For example, his work is bringing physics into machine learning to reach a practical result. In addition to his research and development, Ryan has published a number of papers, reviewed journal articles, and taught a number of courses and seminars. He is an excellent teacher and is sharing his expertise with his colleagues in CIRA and NOAA.

Bob Lipschutz for ingenuity, innovation, leadership, and persistence in pursuit of new technology and the objectives of CIRA and NOAA.

Jebb Stewart for team leadership/mentoring, implementation of innovative and creative technology, and achievements that resulted in substantial impact within the workplace and cutting edge research.CIRA Research Service Award.

Haidao Lin for his work on satellite temperature and moisture bias corrections in the High Resolution Rapid Refresh (HRRR) Model.