Abstract
What: Approximately 40 participants – with expertise spanning energy, computer science, weather and climate research -– joined a week-long Energy-Climate data “hackathon” in June 2021. It was hosted by the Universities of Oxford and Reading in partnership with the UK Met Office as part of a series of themed hackathons supported by the Met Office and held in the run-up to the UN COP26 conference. Six projects were initiated and developed by teams over the course of the week, supported by access to state-of-the-art computational resources on the UK’s CEDA-JASMIN service, and stimulated by keynote speakers from industry and academia. The hackathon concluded with teams presenting their outputs to a panel of invited experts. Several teams plan to build on their hackathon success in publications, ongoing collaborations and research funding proposals. When: 18th May (half-day “scoping” event) & 21st-25th June 2021 (main hackathon) Where: Online via Zoom and Gather.Town, supported by Slack communication channels Affiliations: Initiated by: University of Oxford Dr Sarah Sparrow, Professor David Wallom, Professor Tim Woollings, & University of Reading Professor David Brayshaw, Dr Hannah Bloomfield, In partnership with the Met Office, the UK’s national meteorological service, and with support from the UK’s CEDA-JASMIN service and Gurobi optimization software.
| Original language | English |
|---|---|
| Pages (from-to) | E1321-E1329 |
| Journal | Bulletin of the American Meteorological Society |
| Volume | 103 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 5 Feb 2022 |
Bibliographical note
Funding Information:Acknowledgments. The workshop was initiated through the Met Office Academic Partnership and benefited from funding from the Met Office and Reading University. Thanks are given to the project team leaders and participants for their hard work and contributions throughout the event. Special mention to Bryn Pickering for helping multiple groups to setup their own Calliope power system modeling environments. Thanks are given to the members of staff at the University of Reading who responded to Hannah’s request for rooftop solar PV data for one of the projects.
Funding Information:
The work reported in the “Developing methods to estimate subdaily energy relevant climate variables from daily data” section is part of the U.K. Climate Resilience programme, which is supported by the UKRI and codelivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC.
Publisher Copyright:
© 2022 American Meteorological Society.
Keywords
- hackathon
- energy-meteorology
- github
- python
- climate risk
- decarbonisation
Access to Document
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