pyDeltaRCM is a computationally efficient, free and open source, and easy-to-customize numerical delta model based on the original DeltaRCM model design (Matlab deltaRCM model by Man Liang; Liang et al., 2015). pyDeltaRCM delivers improved model stability and capabilities, infrastructure to support exploration with minimal boilerplate code, and establishes an approach to extending model capabilities that ensures reproducible and comparable studies.
Weighted random walks for 20 water parcels, in a pyDeltaRCM model run with default parameters.
Documentation
Find the complete documentation here.
Documentation includes an installation guide, a thorough guide for users, detailed API documentation for developers, a plethora of examples to use and develop pyDeltaRCM in novel scientific experiments, and more!
Installation
See our complete installation guide, especially if you are a developer planning to modify or contribute code (developer installation guide), or if you are new to managing Python venv or conda environments.
For a quick installation into an existing Python 3.x environment:
$ pip install pyDeltaRCMExecuting the model
We recommend you check out our pyDeltaRCM in 10 minutes tutorial, which is part of our documentation.
Beyond that brief tutorial, we have a comprehensive User Documentation and Developer Documentation to check out.
Citing pyDeltaRCM
When citing pyDeltaRCM, please cite the JOSS paper:
Moodie et al., (2021). pyDeltaRCM: a flexible numerical delta model. Journal of Open Source Software, 6(64), 3398, https://doi.org/10.21105/joss.03398
If you use BibTeX, you can add pyDeltaRCM to your .bib file using the following code:
@article{Moodie2021,
doi = {10.21105/joss.03398},
url = {https://doi.org/10.21105/joss.03398},
year = {2021},
publisher = {The Open Journal},
volume = {6},
number = {64},
pages = {3398},
author = {Andrew J. Moodie and Jayaram Hariharan and Eric Barefoot and Paola Passalacqua},
title = {*pyDeltaRCM*: a flexible numerical delta model},
journal = {Journal of Open Source Software}
}Additional notes
This repository no longer includes the Basic Model Interface (BMI) wrapper to the DeltaRCM model. pyDeltaRCM maintains BMI compatibility through another repository (the BMI_pyDeltaRCM model).
1 maintainer
Metadata
1 maintainer
Release files for pyDeltaRCM 2.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pydeltarcm-2.3.0.tar.gz | 783.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pydeltarcm-2.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 860.4 kB
Release files / pydeltarcm-2.3.0.tar.gz
| Download URL | pydeltarcm-2.3.0.tar.gz |
|---|---|
| Size | 783.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cde93c7e724e7607562d2274b765fdf21eb5aaf9baa2d79bdb406b471bf10dd2
|
|
BLAKE2b-256 checksum How to use checksums |
97e3ec7c26e062fc0a81158650f304e0528ae687de0c8e2893bdc125d4162736
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / pydeltarcm-2.3.0-py3-none-any.whl
| Download URL | pydeltarcm-2.3.0-py3-none-any.whl |
|---|---|
| Size | 77.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
68b655faa3462b73f6290b5a22a159b50581e1857f4277da252ecdb6e95a4b0e
|
|
BLAKE2b-256 checksum How to use checksums |
0b1665bf76b69dbdb77d82c01997956cd5078335e9d532cb072ba4cb97905c35
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
