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-3.3.1.tar.gz (65.8 kB view details)

Uploaded Source

Built Distribution

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

wam2layers-3.3.1-py3-none-any.whl (70.6 kB view details)

Uploaded Python 3

File details

Details for the file wam2layers-3.3.1.tar.gz.

File metadata

  • Download URL: wam2layers-3.3.1.tar.gz
  • Upload date:
  • Size: 65.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for wam2layers-3.3.1.tar.gz
Algorithm Hash digest
SHA256 3246a53ed89a70172beee3bf5df5bc26190bf6d868644fbabf07b56008d68269
MD5 28a1179715af7188a96ad2f192c016c4
BLAKE2b-256 568d3a05a4ad872ad8aa68d5f6ca88e179df6d4445b80357cfe9ddb0825a81f9

See more details on using hashes here.

Provenance

The following attestation bundles were made for wam2layers-3.3.1.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-3.3.1-py3-none-any.whl.

File metadata

  • Download URL: wam2layers-3.3.1-py3-none-any.whl
  • Upload date:
  • Size: 70.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for wam2layers-3.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2eeb8207a333570bfe5d1ac7a5ca65bcbd0fc3c005100addf9a5faa3edea090e
MD5 ca19b06b139d035c84e07c97070c1656
BLAKE2b-256 35351e1dcb2bca76d87d48797bd5a5971926c06fb8a652e69f2f5f5a746550b8

See more details on using hashes here.

Provenance

The following attestation bundles were made for wam2layers-3.3.1-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