Skip to main content

Extract vertical profiles from NWP models and output netCDF files

Project description

Model Munger

Run tests PyPI version

Extract vertical profiles from numerical weather prediction (NWP) models and output netCDF files.

Supported models

Model Horizontal resolution Vertical resolution Temporal resolution Download
AROME Native 90 model levels 1 hour Not supported
ARPEGE Native 105 model levels 1 hour Not supported
ECMWF open data 0.25 degrees 13 pressure levels 3 hours Last days from ECMWF, few years from AWS
GDAS1 1 degree 23 pressure levels 3 hours Since December 2004
ICON-D2 Native 65 model levels 15 minutes Not supported

Processing steps

Model Munger deals with three types of files:

  • Raw data is model output stored for example as GRIB files. Model Munger can download the raw data for some models.
  • Intermediate files are netCDF files containing vertical profiles in a single fixed or moving location. There may be multiple intermediate files, for example one for each model run. For some models, Model Munger extracts intermediate files from the raw data, but for other models, it uses the output from other tools.
  • Output file is a harmonized netCDF file generated from one or more intermediate files. The output file contains up to 24 hours of data from a single fixed or moving location, possibly combined from different model runs.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

model_munger-0.3.7.tar.gz (6.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

model_munger-0.3.7-py3-none-any.whl (33.2 kB view details)

Uploaded Python 3

File details

Details for the file model_munger-0.3.7.tar.gz.

File metadata

  • Download URL: model_munger-0.3.7.tar.gz
  • Upload date:
  • Size: 6.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for model_munger-0.3.7.tar.gz
Algorithm Hash digest
SHA256 23a44ac0ebfa1d88d310d83de2caf7b476061245a149a2147c3fb01216f9f742
MD5 7f352680ad363b144cc1246f87d8b66e
BLAKE2b-256 7343881921a68c6d691b727b7fb8bf36f3ec90c78db381f70f0f659df082c50a

See more details on using hashes here.

Provenance

The following attestation bundles were made for model_munger-0.3.7.tar.gz:

Publisher: publish.yml on actris-cloudnet/model-munger

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file model_munger-0.3.7-py3-none-any.whl.

File metadata

  • Download URL: model_munger-0.3.7-py3-none-any.whl
  • Upload date:
  • Size: 33.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for model_munger-0.3.7-py3-none-any.whl
Algorithm Hash digest
SHA256 67c9edf8abbff5f3840f611f2175f61bfa0718bf63859d88457e7e0b35a70736
MD5 e32b1cf87e98462b3e001d1a0a6cd744
BLAKE2b-256 3b6bf8b10ec4860d331e63bf5cef0f222c69348b77f1e336c174151a748b6a7a

See more details on using hashes here.

Provenance

The following attestation bundles were made for model_munger-0.3.7-py3-none-any.whl:

Publisher: publish.yml on actris-cloudnet/model-munger

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page