gcc forecast #1

[dlebauer]

Here is the 1st pred. for the EFI challenge

TODO

• [ ] create new repository called phenology-foreacast **; put this script in a subfolder called 'historical_means'
• [ ] create follow up issues to
  • [ ] separate out the eml generating code
  • [ ] fix eml
  • [x] set up a cron job to generate and upload predictions on a daily basis (requires AWS account)
    • ask @julianpistorius or Tyson about using CyVerse continuous analysis infrastructure

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for the new repository, would be useful to add background to the README

• README here https://github.com/genophenoenvo/neon-datasets
• EFI videos
  • EFI Challenge overview https://youtu.be/deWuTLGspJg
  • Infrastructure https://youtu.be/-tH4dG3yO3U
  • NEON data streams https://youtu.be/3viG7QNGvK8
• the phenomics section of https://ecoforecast.org/efi-rcn-forecast-challenges/,
• challenge description https://docs.google.com/document/d/1IulWHTRNS2u8rb3cQMaGg4cI11sdOUNZGOr0NFVWnMQ/edit
• the two Richardson et al papers
  • Richardson et al 2018 Nature Scientific Data https://doi.org/10.1038/sdata.2018.28
  • Richardson et al 2019 New Phytologist https://doi.org/10.1111/nph.15591

[KristinaRiemer]

Separate repo for forecasting work.