Skip to main content

Atmospheric moisture tracking model

Project description

WAM2layers

DOI Documentation Status PyPI

WAM2layers is an atmospheric moisture tracking model. It can be used to determine where precipitation originally evaporated (backward tracking), or where evaporated moisture eventually ends up (forward tracking).

Reference paper: Atmospheric moisture tracking with WAM2layers v3

https://user-images.githubusercontent.com/17080502/233834536-a82ca96d-e303-4592-a588-472097ebe6c5.mp4

The animation above illustrates the concept of backward tracking: you first see the water content and fluxes in the tracking domain move forward in time (left panel). Midway through, the animation reverses and the moisture from the "tagging region" is tracked backward in time (right panel).

How does it work

The simplest experiment with WAM2layers could look like this

pip install wam2layers[viz]
wam2layers download example-input-eiffel
cd example-input-eiffel
wam2layers preprocess era5 config-eiffel.yaml
wam2layers track config-eiffel.yaml
wam2layers visualize output config-eiffel.yaml

See the documentation for a more detailed description. We also have a video walkthrough!

Finding help

graph TD
    A[Question or idea?] --> B[Check existing resources:<br><a href='https://wam2layers.readthedocs.io'>Documentation</a>, <a href='https://github.com/WAM2layers/WAM2layers/discussions'>Discussion forum</a>, <a href='https://github.com/WAM2layers/WAM2layers/issues'>Open issues</a>]
    B --> |Still unresolved?| C[<a href="https://github.com/WAM2layers/WAM2layers/discussions/new">Start a new discussion</a><br>Briefly introduce yourself and your use case and provide relevant context, e.g. config files]
    C --> |Work needed?| D[Discussion is converted to issue]
    D --> |Want to contribute?| E[See <a href='https://wam2layers.readthedocs.io/en/latest/develop.html'>Developer guide</a>]
    D --> F[Wait for others to hopefully work on it]

    class A startStep;
    classDef startStep fill:#f9f,stroke:#333,stroke-width:4px,font-size:16px;

Other versions

This is the official codebase for the WAM-2layers moisture tracking model as of 18/03/2022, but there are still several other (older) versions around:

Reuse and acknowledgement

This code is currently developed by a core team: Ruud van der Ent (Delft University of Technology) Imme Benedict (Wageningen University) Chris Weijenborg (Wageningen University) Peter Kalverla (Netherlands eScienceCenter) Bart Schilperoort (Netherlands eScience Center)

We are proudly part of open-sustainable-technology.

If you use the code for a publication, please cite it using the DOI of the appropriate release and the following paper : Atmospheric moisture tracking with WAM2layers v3

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

wam2layers-3.3.0.tar.gz (64.2 kB view details)

Uploaded Source

Built Distribution

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

wam2layers-3.3.0-py3-none-any.whl (68.4 kB view details)

Uploaded Python 3

File details

Details for the file wam2layers-3.3.0.tar.gz.

File metadata

  • Download URL: wam2layers-3.3.0.tar.gz
  • Upload date:
  • Size: 64.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for wam2layers-3.3.0.tar.gz
Algorithm Hash digest
SHA256 59307750b6cae2d3f9d6643e9f046708d60ef0c9725d753c1b2dc33a9c9b184e
MD5 953cbf51247365ac7aec4eb34b483082
BLAKE2b-256 9e4424a3f01b372cfb1c0795dc085ddd2ae038beba4cd7e6827430e22a6a9898

See more details on using hashes here.

Provenance

The following attestation bundles were made for wam2layers-3.3.0.tar.gz:

Publisher: publish.yaml on WAM2layers/WAM2layers

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

File details

Details for the file wam2layers-3.3.0-py3-none-any.whl.

File metadata

  • Download URL: wam2layers-3.3.0-py3-none-any.whl
  • Upload date:
  • Size: 68.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for wam2layers-3.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1d548e372798a260e7c4ae234523ac865cec3341b91440c5cdd669f2bc627fb0
MD5 f604ba519f327773a7b0fb6cc0617b9b
BLAKE2b-256 a0bd2f537573dfd8ad095c2544fd8a801842097b03876067bbf4cecacce641d0

See more details on using hashes here.

Provenance

The following attestation bundles were made for wam2layers-3.3.0-py3-none-any.whl:

Publisher: publish.yaml on WAM2layers/WAM2layers

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