disdrodb 0.5.2
An open-source python software for standardized processing, sharing, and analysis of disdrometer data.
Requires Python: >=3.11
Keywords: python, disdrometer, parsivel, drop size distribution, radar, remote sensing, precipitation, rainfall

# 📦 disdrodb

An open-source python software for standardized processing, sharing, and analysis of disdrometer data

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| Deployment        | [![PyPI](https://badge.fury.io/py/disdrodb.svg?style=flat)](https://pypi.org/project/disdrodb/) [![Conda](https://img.shields.io/conda/vn/conda-forge/disdrodb.svg?logo=conda-forge&logoColor=white&style=flat)](https://anaconda.org/conda-forge/disdrodb)                                                                                                                                                                                                                                                                                                                                                                        |
| Activity          | [![PyPI Downloads](https://img.shields.io/pypi/dm/disdrodb.svg?label=PyPI%20downloads&style=flat)](https://pypi.org/project/disdrodb/) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/disdrodb.svg?label=Conda%20downloads&style=flat)](https://anaconda.org/conda-forge/disdrodb)                                                                                                                                                                                                                                                                                                                                |
| Python Versions   | [![Python Versions](https://img.shields.io/badge/Python-3.11%20%203.12%20%203.13%20%203.14-blue?style=flat)](https://www.python.org/downloads/)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
| Supported Systems | [![Linux](https://img.shields.io/github/actions/workflow/status/ltelab/disdrodb/.github/workflows/tests.yml?label=Linux&style=flat)](https://github.com/ltelab/disdrodb/actions/workflows/tests.yml) [![macOS](https://img.shields.io/github/actions/workflow/status/ltelab/disdrodb/.github/workflows/tests.yml?label=macOS&style=flat)](https://github.com/ltelab/disdrodb/actions/workflows/tests.yml) [![Windows](https://img.shields.io/github/actions/workflow/status/ltelab/disdrodb/.github/workflows/tests_windows.yml?label=Windows&style=flat)](https://github.com/ltelab/disdrodb/actions/workflows/tests_windows.yml) |
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| Build Status      | [![Tests](https://github.com/ltelab/disdrodb/actions/workflows/tests.yml/badge.svg?style=flat)](https://github.com/ltelab/disdrodb/actions/workflows/tests.yml) [![Lint](https://github.com/ltelab/disdrodb/actions/workflows/lint.yml/badge.svg?style=flat)](https://github.com/ltelab/disdrodb/actions/workflows/lint.yml) [![Docs](https://readthedocs.org/projects/disdrodb/badge/?version=latest&style=flat)](https://disdrodb.readthedocs.io/en/latest/)                                                                                                                                                                     |
| Linting           | [![Black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat)](https://github.com/psf/black) [![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json&style=flat)](https://github.com/astral-sh/ruff) [![Codespell](https://img.shields.io/badge/Codespell-enabled-brightgreen?style=flat)](https://github.com/codespell-project/codespell)                                                                                                                                                                                                      |
| Code Coverage     | [![Coveralls](https://coveralls.io/repos/github/ltelab/disdrodb/badge.svg?branch=main&style=flat)](https://coveralls.io/github/ltelab/disdrodb?branch=main) [![Codecov](https://codecov.io/gh/ltelab/disdrodb/branch/main/graph/badge.svg?style=flat)](https://codecov.io/gh/ltelab/disdrodb)                                                                                                                                                                                                                                                                                                                                      |
| Code Quality      | [![Codefactor](https://www.codefactor.io/repository/github/ltelab/disdrodb/badge?style=flat)](https://www.codefactor.io/repository/github/ltelab/disdrodb) [![Codacy](https://app.codacy.com/project/badge/Grade/d823c50a7ad14268bd347b5aba384623?style=flat)](https://app.codacy.com/gh/ltelab/disdrodb/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade) [![Codescene](https://codescene.io/projects/36773/status-badges/code-health?style=flat)](https://codescene.io/projects/36773)                                                                                                          |
| License           | [![License](https://img.shields.io/github/license/ltelab/disdrodb?style=flat)](https://github.com/ltelab/disdrodb/blob/main/LICENSE)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
| Community         | [![Slack](https://img.shields.io/badge/Slack-disdrodb-green.svg?logo=slack&style=flat)](https://join.slack.com/t/disdrodbworkspace/shared_invite/zt-25l4mvgo7-cfBdXalzlWGd4Pt7H~FqoA) [![GitHub Discussions](https://img.shields.io/badge/GitHub-Discussions-green?logo=github&style=flat)](https://github.com/ltelab/disdrodb/discussions)                                                                                                                                                                                                                                                                                        |
| Citation          | [![DOI](https://zenodo.org/badge/429018433.svg?style=flat)](https://zenodo.org/doi/10.5281/zenodo.7680581)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         |

[**Slack**](https://join.slack.com/t/disdrodbworkspace/shared_invite/zt-25l4mvgo7-cfBdXalzlWGd4Pt7H~FqoA) | [**Documentation**](https://disdrodb.readthedocs.io/en/latest/)

DISDRODB is an international joint effort to index, collect and homogenize drop size distribution (DSD) data from around the world.
DISDRODB aims to establish a global standard for sharing disdrometer observations.
Built on FAIR data principles and Climate & Forecast (CF) conventions, DISDRODB standards facilitate the processing, analysis and visualization of disdrometer data.

## ℹ️ Software Overview

The software enables you to:

- Upload raw data of new disdrometer stations to the DISDRODB Decentralized Data Archive

- Download the raw disdrometer data from stations included in the DISDRODB Decentralized Data Archive

- Convert raw disdrometer data into a standard NetCDF format (DISDRODB L0 product)

- Generate standardized, homogenized, and quality-checked disdrometer measurements (DISDRODB L1 product)

- Compute empirical and model-based drop size distribution parameters and derive geophysical and polarimetric radar variables of interest (DISDRODB L2 product)

If you have ideas, algorithms, data, or expertise to share, or you want to contribute to the future DISDRODB products, do not hesitate to get in touch!!!

Join the [**DISDRODB Slack Workspace**](https://join.slack.com/t/disdrodbworkspace/shared_invite/zt-25l4mvgo7-cfBdXalzlWGd4Pt7H~FqoA) to meet the DISDRODB Community!

## 🚀 Quick Start

Create your own DISDRODB Local Data Archive.

### 📚 Download the DISDRODB Metadata Archive

The DISDRODB Metadata Archive is a collection of metadata files that describe the disdrometer stations included in DISDRODB.

To download the DISDRODB Metadata Archive, navigate to the desired directory and run:

```bash
git clone https://github.com/ltelab/DISDRODB-METADATA.git
```

Or download a static snapshot without using git:

```bash
disdrodb_download_metadata_archive /path/to/DISDRODB-METADATA
```

### 📚 Define the DISDRODB Configuration File

The disdrodb software requires to know two directories:

- `metadata_archive_dir`: the base of your local DISDRODB Metadata Archive
- `data_archive_dir`: the base of your local DISDRODB Data Archive

On Windows, paths must end with `\DISDRODB`; on macOS/Linux, they must end with `/DISDRODB`.

```python
import disdrodb

metadata_archive_dir = "/<path_to>/DISDRODB-METADATA/DISDRODB"
data_archive_dir = "/<path_to>/DISDRODB"
disdrodb.define_configs(
    metadata_archive_dir=metadata_archive_dir, data_archive_dir=data_archive_dir
)
```

This creates a `.config_disdrodb.yml` file in your home directory (e.g., `~/.config_disdrodb.yml`).

To verify the configuration, open a new Python session and run:

```python
import disdrodb

print("Metadata Archive Directory:", disdrodb.get_metadata_archive_dir())
print("Data Archive Directory:", disdrodb.get_data_archive_dir())
```

Or in the shell:

```bash
disdrodb_metadata_archive_directory
disdrodb_data_archive_directory
```

### 📥 Download the DISDRODB Raw Data Archive

To download all data stored into the DISDRODB Decentralized Data Archive,
you just have to run the following command:

```bash
disdrodb_download_archive
```

To download from a specific source (e.g., EPFL):

```bash
disdrodb_download_archive --data-sources EPFL
```

Type `disdrodb_download_archive --help` to see further options.

To open the local DISDRODB Data Archive directory, type:

```bash
disdrodb_open_data_archive
```

### 💫 Transform Raw Data to Standardized netCDFs

If you want to convert all stations raw data into standardized netCDF4 files, run the following command in the terminal:

```bash
disdrodb_run_l0
```

Type `disdrodb_run_l0 --help` to see further options.

### 💫 Generate DISDRODB L1 and p2 products

To generate DISDRODB L1 and L2 products, run the following commands in the terminal:

```bash
disdrodb_run_l1
disdrodb_run_l2e
disdrodb_run_l2m
```

### 💫 Analyze Analysis-Ready Products

The software's `open_dataset` function **lazily** opens all station files of a given product:

```python
import disdrodb

ds = disdrodb.open_dataset(
    product="L0C",
    data_source="EPFL",
    campaign_name="HYMEX_LTE_SOP3",
    station_name="10",
)
ds
```

This allows you to jump directly into analyzing disdrometer data without worrying about processing steps.

### 💫 Explore the DISDRODB Metadata Archive

To explore the DISDRODB Metadata Archive, you can type into the terminal:

```bash
disdrodb_open_metadata_archive
```

If you wish to analyze the DISDRODB Metadata Archive information of all stations,
the `read_metadata_archive` python function returns all stations metadata information into an easy to analyze `pandas.DataFrame`:

```python
import disdrodb

df = disdrodb.read_metadata_archive()
print(df)
```

## 📖 Explore the DISDRODB documentation

With this introduction, we just scratched the surface of the disdrodb software capabilities.
To discover more about the DISDRODB products, the download and processing options, or how to contribute your own data to DISDRODB,
please read the software documentation available at [https://disdrodb.readthedocs.io/en/latest/](https://disdrodb.readthedocs.io/en/latest/).

## 🛠️ Installation

### conda

DISDRODB can be installed via [conda][conda_link] on Linux, Mac, and Windows.
Install the package by typing the following command in the terminal:

```bash
conda install disdrodb
```

In case conda-forge is not set up for your system yet, see the easy to follow instructions on [conda-forge][conda_forge_link].

### pip

DISDRODB can be installed also via [pip][pip_link] on Linux, Mac, and Windows.
On Windows you can install [WinPython][winpy_link] to get Python and pip running.

Then, install the DISDRODB package by typing the following command in the terminal:

```bash
pip install disdrodb
```

To install the latest development version via pip, see the [documentation][dev_install_link].

## 💭 Feedback and Contributing Guidelines

If you aim to contribute your data or discuss the future development of DISDRODB,
we highly recommend to join the [**DISDRODB Slack Workspace**](https://join.slack.com/t/disdrodbworkspace/shared_invite/zt-25l4mvgo7-cfBdXalzlWGd4Pt7H~FqoA)

Feel free to also open a [GitHub Issue](https://github.com/ltelab/disdrodb/issues) or a
[GitHub Discussion](https://github.com/ltelab/disdrodb/discussions) specific to your questions or ideas.

## ✍️ Contributors

- [Gionata Ghiggi](https://people.epfl.ch/gionata.ghiggi)
- [Kim Candolfi](https://github.com/KimCandolfi)
- [Régis Longchamp](https://people.epfl.ch/regis.longchamp)
- [Charlotte Gisèle Weil](https://people.epfl.ch/charlotte.weil)
- [Jacopo Grazioli](https://people.epfl.ch/jacopo.grazioli)
- [Alexis Berne](https://people.epfl.ch/alexis.berne?lang=en)

## Citation

You can cite the DISDRODB software by:

> Gionata Ghiggi, Kim Candolfi, Régis Longchamp, Charlotte Weil, Alexis Berne (2023). ltelab/disdrodb Zenodo. https://doi.org/10.5281/zenodo.7680581

If you want to cite a specific version, have a look at the [Zenodo site](https://doi.org/10.5281/zenodo.7680581)

## License

The content of this repository is released under the terms of the [GPL 3.0 license](LICENSE).

[conda_forge_link]: https://github.com/conda-forge/disdrodb-feedstock#installing-disdrodb
[conda_link]: https://docs.conda.io/en/latest/miniconda.html
[dev_install_link]: https://disdrodb.readthedocs.io/en/latest/installation.html#installation-for-contributors
[pip_link]: https://pypi.org/project/disdrodb
[winpy_link]: https://winpython.github.io/