Offshore Wind Analysis with Pangeo

Science
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Hi,

At last week’s EGU General Assembly 2022 session “Meeting Exascale Computing Challenges with Compression and Pangeo”, I presented work on Irish offshore wind analysis using Earth Observation, reanalysis and in situ data, from a project funded by the Sustainable Energy Authority of Ireland (SEAI). We’re using a combination of Pangeo, xarray, Dask and Zarr to enable scalable wind data processing that generates power estimates for offshore renewable energy assessment. This has involved the creation of a new wind data catalog using Intake and Zarr, which features up to 21 years of available data products from various providers for the Irish Continental Shelf region.

Details of the current project outputs are available at https://eooffshore.github.io. This includes a collection of Jupyter notebooks inspired by the Pangeo gallery, describing:

  • Data retrieval and Zarr store creation
  • Area Of Interest (AOI) assessment
  • A prototype interactive wind atlas, created using HoloViz libraries

We’re hoping to release some/all of this data catalog in the coming months, possibly using Pangeo Forge.

Thanks to everyone involved in the Pangeo/Python projects, these were essential for the project implementation so far. Thanks also to the organisers for the opportunity to present the work, it was a great session.

Cheers,
Derek

eooffshore_egu22_outputs
eooffshore_egu22_outputs1117×836 192 KB

6 Likes
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Awesome project! Thanks for sharing.

1 Like
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Hi,

I’ve uploaded most of the Zarr stores used in the EGU presentation to Zenodo (final Zarr exceeds current limits). Some of these may also be available via Pangeo Forge in the coming months:

  1. Advanced SCATterometer (ASCAT) Sea Surface Winds https://doi.org/10.5281/zenodo.6976298
  2. Cross-Calibrated Multi-Platform (CCMP) Wind Vector Analysis https://doi.org/10.5281/zenodo.6958151
  3. ERA5 Hourly Single Level Wind https://doi.org/10.5281/zenodo.6974217
  4. New European Wind Atlas (NEWA) https://doi.org/10.5281/zenodo.6977029
  5. Sentinel-1 Ocean (OCN) Wind https://doi.org/10.5281/zenodo.6967056

Cheers,
Derek

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Hi @dgocallaghan , this seems like an awesome project.

Although very much related to this group we have recently set up a group called PY_WRAM - Python for Wind Resource Assessment and Metocean over at www.pywram.com. I wonder if you would consider cross posting or if you would be happy for me to do this ?

Ps. Hopefully Pangeo drop don’t mind me mentioning PYWRAM as this group is very very useful to a lot of us working in the wind industry

David

1 Like
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Hi @David_Mccracken ,

Thanks for the post. No problem at all if you’d like to cross post this topic to the PYWRAM group.

Cheers,
Derek

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Thank Derek

I actually just also reached out to you in Twitter as I didn’t know if you would see this.

Will reshare on PYWRAM - will reference this post also