disdrodb 0.0.10

This package provides tools to homogenize, process, and analyze global disdrometer data.

DISDRODB - A package to standardize, process and analyze global disdrometer data.

DISDRODB is part of an initial effort to index, collect and homogenize drop size distribution (DSD) data sets across the globe, as well as to establish a global standard for disdrometers observations data sharing. DISDRODB standards are being established following FAIR data best practices and Climate & Forecast (CF) conventions, and will facilitate the preprocessing, analysis and visualization of disdrometer data.

The DISDRODB archive is composed of 3 product levels:

• L0 provides the raw sensors measurements converted into a standardized netCDF4 format.
• L1 provides L0 homogenized and quality-checked data.
• L2 provides scientific products derived from the L1 data.

The code required to the generate the DISDRODB archive is enclosed in the production directory of the repository.

The code facilitating the analysis and visualization of the DISDRODB archive is available in the api directory.

The software documentation is available at https://disdrodb.readthedocs.io/en/latest/.

Currently:

• only the DISDRODB L0 product generation has been implemented;
• the pipeline for DISDRODB L1 and L2 product generation is in development;
• the DISDRODB API is in development;
• more than 300 sensors have been already processed to DISDRODB L0;
• tens of institutions have manifested their interest in adopting the DISDRODB tools and standards.

Consequently IT IS TIME TO GET INVOLVED. If you have ideas, algorithms, data or expertise to share, do not hesitate to GET IN TOUCH !!!

Installation

DISDRODB can be installed from PyPI with pip:

pip install disdrodb

In future, it will become available from conda-forge for conda installations:

conda install -c conda-forge disdrodb

Contributors

• Gionata Ghiggi
• Kim Candolfi
• Régis Longchamp
• Charlotte Gisèle Weil
• Jacopo Grazioli
• Alexis Berne

License

The content of this repository is released under the terms of the MIT license.