https://github.com/dhi/fmdap
Pre- and post-processing for MIKE FM Data Assimilation
https://github.com/dhi/fmdap
data-assimilation dhi mike21 ocean-modelling research
Last synced: about 1 year ago
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Pre- and post-processing for MIKE FM Data Assimilation
- Host: GitHub
- URL: https://github.com/dhi/fmdap
- Owner: DHI
- License: mit
- Created: 2021-05-21T05:23:01.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2025-03-21T15:58:19.000Z (over 1 year ago)
- Last Synced: 2025-04-21T13:39:17.862Z (about 1 year ago)
- Topics: data-assimilation, dhi, mike21, ocean-modelling, research
- Language: Python
- Homepage: https://dhi.github.io/fmdap/
- Size: 20.1 MB
- Stars: 5
- Watchers: 2
- Forks: 1
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# fmdap: MIKE FM Data Assimilation Processing tool
This python package contains pre- and post-processing tools for MIKE 21/3 Data Assimilation workflows.
## Installation
`> pip install https://github.com/DHI/fmdap/archive/main.zip`
## Requirements
* Python x64 >=3.6
* [mikeio](https://github.com/DHI/mikeio) python package for reading and writing MIKE dfs files
## Examples
Check out the examples in the [notebooks folder](https://nbviewer.jupyter.org/github/DHI/fmdap/tree/main/notebooks/).
### Diagnostic outputs
* [Diagnostic_output_overview.ipynb](https://nbviewer.jupyter.org/github/DHI/fmdap/blob/main/notebooks/Diagnostic_output_overview.ipynb)
* [Diagnostic_output_plots.ipynb](https://nbviewer.jupyter.org/github/DHI/fmdap/blob/main/notebooks/Diagnostic_output_plots.ipynb)
* [Diagnostic_output_skill.ipynb](https://nbviewer.jupyter.org/github/DHI/fmdap/blob/main/notebooks/Diagnostic_output_skill.ipynb)
### Read settings from PFS file
* [Pfs_file.ipynb](https://nbviewer.jupyter.org/github/DHI/fmdap/blob/main/notebooks/Pfs_file.ipynb)
### Estimate temporal and spatial correlation lenght scales
* [Analyze_forcing_data.ipynb](https://nbviewer.jupyter.org/github/DHI/fmdap/blob/main/notebooks/Analyze_forcing_data.ipynb)