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
AROME-Arctic 2.5 km 65 model levels 1 hour Since 2015
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-0.4.1.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-0.4.1-py3-none-any.whl (39.4 kB view details)

Uploaded Python 3

File details

Details for the file model_munger-0.4.1.tar.gz.

File metadata

  • Download URL: model_munger-0.4.1.tar.gz
  • Upload date:
  • Size: 6.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for model_munger-0.4.1.tar.gz
Algorithm Hash digest
SHA256 1a48f549238ad6d23a55082b9c4cdc468ba501b9bf5e1052541ae755a4e61484
MD5 bbb8a50123b4b1fcc8ac191413bee365
BLAKE2b-256 bc75ab8ca2de612d69d4b00b5fc3d9573cd2391e761b869295c155f57d7261d6

See more details on using hashes here.

Provenance

The following attestation bundles were made for model_munger-0.4.1.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-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: model_munger-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 39.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for model_munger-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c929c5004afb4eb814cd090f50cc10e97c22e3bb7a856d57ab5e32aa97cf5510
MD5 686f74e2be74f475414971160779a36f
BLAKE2b-256 c2ee43913cb714ec29d0a45e534b91bd6141f9f63badd86d30074b1056bf3552

See more details on using hashes here.

Provenance

The following attestation bundles were made for model_munger-0.4.1-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