Observation Sequence Diagnostics for DART
Project description
pyDARTdiags
pyDARTdiags is a Python library for observation space diagnostics for the Data Assimilation Research Testbed (DART).
pyDARTdiags is under initial development, so please use caution. The MATLAB observation space diagnostics are available through DART.
pyDARTdiags can be installed through pip: https://pypi.org/project/pydartdiags/
Documentation : https://ncar.github.io/pyDARTdiags/
Contributing
Contributions are welcome! If you have a feature request, bug report, or a suggestion, please open an issue on our GitHub repository. Please read our Contributors Guide if you would like to contribute to pyDARTdiags.
License
pyDARTdiags is released under the Apache License 2.0. For more details, see the LICENSE file in the root directory of this source tree or visit Apache License 2.0.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pydartdiags-0.6.3.tar.gz.
File metadata
- Download URL: pydartdiags-0.6.3.tar.gz
- Upload date:
- Size: 40.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ed2fb3203dce00068194bdab78fa52411a67ac5077cf41df59a94a1410ad3d99
|
|
| MD5 |
7daa2144fe0216fe8b79771050435264
|
|
| BLAKE2b-256 |
13c97334b474ac21cfdba39f91e10a667c03e78e6bee1bdc899fe386b14592ad
|
File details
Details for the file pydartdiags-0.6.3-py3-none-any.whl.
File metadata
- Download URL: pydartdiags-0.6.3-py3-none-any.whl
- Upload date:
- Size: 32.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
28ac6f5075cb1445989549964d0da1986aff13f5e98d4c3071364358f180cda6
|
|
| MD5 |
3de2c6457b51ed44414f04ae8d2f20a0
|
|
| BLAKE2b-256 |
f4a2a69b5b09ec8eb22e272b0f376d7bd61170ccf497d84a867aa32c8096f12c
|
