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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