Jonathan is a software engineer focused on developing modern, highly scalable systems to better serve the needs of weather scientists, forecasters, and the general public. He researches the application of new technologies to weather data processing in order to address increasing size and complexity of models and observations. He has helped develop and maintain several projects at GSL: Science on a Sphere Explorer, the Weather Archive and Visualization Environment (WAVE), and the Impact-Based Decision Support Services (IDSS) engine.
Scalable software architecture
B.S. Computer Science, James Madison University, 2005.
Associate Scientist with CIRES at NOAA/GSL, 2014-present
Joyce, J. (2020). Efficiently Scaling Weather Analysis in the Cloud. Presented at 2020 NOAA Environmental Data Management Workshop. 17-20 August, 2020.
Joyce, J., J. Stewart, B. Rasch, J. S. Smith, R. Walsh, T. H. Wilson, and D. Nietfeld. (2019). The Weather Archive and Visualization Environment (WAVE) Project. 36th Conference on Environmental Information Processing Technologies (EIPT), Boston, MA, Amer. Meteor. Soc. 12–16 January, 2020.
Joyce, J., J. S. Smith, and J. Stewart. (May 2019). Scaling Weather Data Analysis with Cloud-ready Architecture. Poster session presented at 2019 Cooperative Institute for Research in Environmental Sciences (CIRES) Rendezvous, Boulder, CO.
Stewart, J., E. Hackathorn, J. Joyce, and J. S. Smith. (2014). High Performance Real-Time Visualization of Voluminous Scientific Data Through the NOAA Earth Information System (NEIS). 31st Conference on Environmental Information Processing Technologies (EIPT), Phoenix, AZ, Amer. Meteor. Soc. CD-ROM, 15B.2, January 4-8, 2015.
Stewart, J., E. Hackathorn, J. Joyce, and J. S. Smith. (2014). Real-time Data Interaction and Visualization using the NOAA Earth Information System (NEIS), Meteorological Technology World Expo, Brussels, Belgium, October 21-23, 2014.