Datasets:
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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`
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