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Dataset de Zenodo · Herrera Cortijo, Juan Luis

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

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Licencia
gpl-3.0-or-lateruso comercial permitido
Esta licencia permite el uso comercial. Normalmente hay que citar al autor; consulta la licencia para ver las condiciones exactas.
Formatos
HTML, PARQUET, ZIP, JSON, SQL, SH
Tamaño
1,2 GB
Actualizado
14 sept 2025

Descripción

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…

Descripción de Zenodo, abreviada.

Archivos (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 B
  • 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 B
  • 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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