Datasets:

wuff-mann
/

ASR-CYGNSS-HGMM-Reproducibility

license: cc-by-4.0
pretty_name: ASR CYGNSS-SMAP H-GMM reproducibility data
task_categories:
  - tabular-regression
tags:
  - cygnss
  - smap
  - gnss-r
  - ocean-wind
  - remote-sensing
  - gaussian-mixture-model

ASR CYGNSS-SMAP H-GMM reproducibility repository

This public dataset repository stores derived CYGNSS-SMAP collocations, model checkpoints, evaluation statistics, and manuscript figures for the manuscript on year-adaptive CYGNSS sea-surface wind retrieval.

Upstream public data

CYGNSS Level-2 Science Data Record v3.2 (CYGNSS_L2_V3.2), NASA PO.DAAC, DOI: 10.5067/CYGNS-L2X32.
JPL SMAP Level-2B CAP Sea Surface Salinity and extreme-wind product v5.0 (SMAP_JPL_L2B_SSS_CAP_V5), NASA PO.DAAC, DOI: 10.5067/SMP50-2TOCS.

The upstream raw HDF5/netCDF granules are not mirrored here. They are retrieved temporarily in Google Colab, transformed into quality-controlled collocation shards, and deleted after the derived shard has been uploaded.

Repository structure

data/collocations/: monthly Parquet shards for 2021-2025.
training/: balanced historical training sample.
models/: hard-gated H-GMM and chronological calibrators.
predictions/: 2025 raw and strict out-of-time test predictions.
metrics/: JSON/CSV statistical outputs and bootstrap intervals.
figures/: vector PDF and 600-dpi PNG manuscript figures.
manifests/: provenance, checksums, split definitions, and processing logs.
code/: exact Colab notebook and support package.

Important limitations

SMAP is treated as an external reference product rather than error-free ground truth. The strict primary protocol uses the earliest 5% of 2025 observations as chronological anchors and evaluates all later observations without anchor/test overlap.

Repository: wuff-mann/ASR-CYGNSS-HGMM-Reproducibility