Empowering weather-satellite data users with FOSS: the Pytroll case
summary
A suite of Python packages for earth observation data processing that supports >90 satellite formats and reads remote files so users extract just the needed scenes. It implements compositing, reprojection and resampling, scientific steps like Rayleigh scattering correction, and operational pipelines that run 24/7 for near‑real‑time products. Adoption grows via workshops and yearly hackathons, releases have a DOI for reproducible versions, and it replaces costly commercial licenses (~€70,000/yr).
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chapters (14)
- 0:00Introduction
- 1:15What is Pytroll
- 2:20Weather satellite data
- 4:25Pytroll software suite
- 6:58Project origins and challenges
- 9:49Alternatives and limitations
- 11:36Project expansion and workshop
- 13:24Adoption by meteorological services
- 15:50Support and funding
- 16:54Adoption at EUMETSAT
- 17:57Global community contributors
- 20:28Reliability and scientific value
- 21:12Community engagement
- 22:16Q&A
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