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Download JPL GENESIS COSMIC radio-occultation ASCII files and convert them to netCDF4.

Project description

cosmic-crunch

CI License: MIT Python

Download JPL GENESIS COSMIC radio-occultation ASCII data files and convert them to netCDF4.

cosmic-crunch crawls the JPL GENESIS data archive, downloads the Level-2 ASCII occultation profiles, and (optionally) converts them into self-describing netCDF4 files.

Site restructure note (2020 → 2026). JPL restructured the GENESIS site: the old crawl root (/ftp/pub/genesis/glevels) is dead, so v1 of this tool silently "succeeded" while downloading nothing. v2 targets the current root https://genesis.jpl.nasa.gov/ftp/glevels/ and fails loudly — a crawl that finds nothing exits non-zero instead of pretending to succeed.

Mission status. COSMIC-1 (FORMOSAT-3, flight modules FM1–FM6, served here as cosmic1/cosmic6/) was decommissioned in 2020, so this is a static archive — the data has stopped changing. (COSMIC-2 is a different mission on a different archive and is out of scope.)

Installation

pip install -e .

This installs the cosmic-crunch command with two subcommands, get and convert. Python 3.10+ is required.

Usage

cosmic-crunch has a single entry point with two subcommands:

cosmic-crunch get      # crawl the GENESIS site and download ASCII files
cosmic-crunch convert  # convert downloaded ASCII files to netCDF4

cosmic-crunch get

usage: cosmic-crunch get [-h] [--base-url BASE_URL] [--instrument INSTRUMENT]
                         [--year_regex YEAR_REGEX] [--date_regex DATE_REGEX]
                         [--processes PROCESSES] [--test] [--netcdf4]
                         [--skip_empty]
flag description
--base-url Override the crawl root. Precedence: flag > COSMIC_CRUNCH_BASE_URL env var > built-in default (https://genesis.jpl.nasa.gov/ftp/glevels).
--instrument Instrument tree to crawl (substring filter). Defaults to cosmic (matches cosmic1cosmic6); the same archive also serves champ, gracea, gracefo1, …
--year_regex Download only years matching this regular expression.
--date_regex Download only dates matching this regular expression.
--processes Worker processes for the multiprocessing pool (default 1).
--test Download a small subset (cosmic1, 2019-01-03, 10 files) as a smoke test.
--netcdf4 Convert the downloaded ASCII files to netCDF4 afterward.
--skip_empty Skip converting files whose data arrays are all empty.

Downloads are atomic and resumable: each file is streamed to a .part temporary and renamed into place only once complete, and files already present with a matching size are skipped — so an interrupted bulk pull can simply be re-run.

A successful run resembles:

$ cosmic-crunch get --year_regex=2006 --date_regex=2006-05-02 --netcdf4 --skip_empty --processes=4
Crawling all ./cosmic<#>/postproc: 100%|████████████████████| 6/6 [00:03<00:00,  1.61it/s]
Crawling all ./cosmic<#>/.../<year>: 100%|██████████████████| 6/6 [00:03<00:00,  1.59it/s]
Crawling all ./cosmic<#>/.../<date>: 100%|██████████████████| 3/3 [00:03<00:00,  1.17s/it]
Crawling all ./cosmic<#>/.../L2/<format>: 100%|█████████████| 4/4 [00:04<00:00,  1.09s/it]
Downloading data files: 100%|███████████████████████████████| 20/20 [00:26<00:00,  1.33s/it]
Converting ASCII to netCDF4: 100%|██████████████████████████| 20/20 [00:03<00:00,  6.32it/s]

ASCII to netCDF4 conversion summary:
 - Successful conversions: 17
 - Skipped conversions:    3
 - Conversion errors:      0
 - Total number of files:  20

Downloaded files are written under ./jpl_cosmic/<year>/<date>/txt/.

cosmic-crunch convert

usage: cosmic-crunch convert [-h] [--logfile LOGFILE] [--processes PROCESSES]
                             [--skip_empty]
                             path [path ...]

Convert one or more ASCII .txt.gz files — or directories of them (crawled recursively) — to netCDF4. netCDF4 files are written into a sibling nc/ directory (mirroring the txt/ layout), or beside the source file otherwise.

cosmic-crunch convert ./jpl_cosmic/2006/ --skip_empty --processes=4

netCDF4 output structure

Each ASCII file becomes one netCDF4 file. The ASCII header becomes global attributes; each DataType profile becomes a group whose variables are that profile's columns, indexed by an Index dimension:

netcdf 20060501_0632co1_g35_2p6.L2 {
  // global attributes: ProductCreationTime, ShortName, DataSetID,
  //                     PlatformShortName, Receiver, ... (the ASCII header)

  group: COSMIC1-Profile {
    dimensions:  Index = <n> ;
    variables:   Height, Lat, Lon, Refractivity, Temperature, Pressure, WV Pressure ;
  }
  group: ECMWF-Profile {
    dimensions:  Index = <n> ;
    variables:   Height, Lat, Lon, Refractivity, Temperature, Pressure, WV Pressure ;
  }
}

Missing values in the ASCII data (-9999) are stored as NaN.

Security note

v1 parsed header values with eval(), allowing arbitrary code execution from a malicious or corrupted data file. v2 uses ast.literal_eval with a raw-string fallback — header parsing can no longer execute code.

Development

pip install -e ".[test]"
python -m pytest -q        # offline test suite (never touches the network)
ruff check .

License

MIT — see LICENSE.

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