Dataset from Zenodo · Herrera Cortijo, Juan Luis

Project HF-EOLUS. Task 2. Aggregated SAR and HF-Radar Radial Metrics for Wind-Inversion Model Training

License
gpl-3.0-or-latercommercial use allowed
This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
Formats
HTML, PARQUET, ZIP, JSON, SQL, SH
Size
1.2 GB
Updated
Sep 14, 2025

Description

This record presents the results obtained by applying the open, reproducible workflow described in HF-EOLUS Geospatial Processing Tools to the HF-EOLUS Sentinel‑1 SAR Derived Data Bundle and to the VILA & PRIO Radial Metrics GeoParquet datasets. It provides analysis-ready geospatial data products generated to train HF-Radar wind-inversion models. HF-EOLUS Geospatial Processing Tools documents the methodology, software environment, and parameterization; the dataset records contain the data used as input. This record includes the concrete outputs for reuse and citation. Wind-inversion models are trained using supervised learning methods. In the HF-EOLUS project, we tackle this task as a regression problem where, given a set of features (HF-Radar data), we train a model to predict a numerical output (wind speed and direction). Due to the dense nature of the SAR and HF-Radar data and that they are not initially co-located, we need to aggregate them into a grid that allows us to get paired time-series of HF-Radar input <-> SAR output on a grid. HF-EOLUS Geospatial Processing Tools provides a workflow that we use here to 1) compute the coverage area of the HF-Radar data, 2) build a…

Description from Zenodo, shortened.

Files (21)

  • HTMLVILA_PRIO_hull_map.html10 kB
  • PARQUETgrid_nodes_1757320574.parquet5 kB
  • ZIPsar_catalog.zip569 kB
  • JSONstac_properties_item_sar.json5.1 kB
  • ZIPaggregation_output_sar.zip3.9 kB
  • SQLcreate_half_hour_view_SAR_INGEST_SAR_half_hour.view.sql401 byte
  • SHcreate_half_hour_view.sh5.7 kB
  • HTMLgrid_map.html30 kB
  • CSVHF_INGESTION_VILA_radial_metrics_wkb.csv467 kB
  • PARQUETgrid_nodes_1757320746.parquet3.6 kB
  • JSONVILA_PRIO_hull.json3.4 kB
  • CSVbuoys_grid_csv.csv49 byte
  • ZIPaggregation_output_vila.zip3.2 kB
  • ZIPaggregation_output_prio.zip3.2 kB
  • ZIPprio_catalog.zip466 MB
  • JSONstac_properties_item_hf.json5.1 kB
  • CSVHF_INGESTION_PRIO_radial_metrics_wkb.csv390 kB
  • ZIPvila_catalog.zip746 MB
  • JSONstac_properties_collection_hf.json5.1 kB
  • JSONstac_properties_collection_sar.json5.1 kB
  • SHpipeline.sh5.8 kB

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