Documentation : disdrodb.readthedocs.io
Software repository : disdrodb
DISDRODB is an international initiative to index, collect, and harmonize drop size distribution (DSD) data from around the world.
The DISDRODB project aims to also establish a global standard for sharing disdrometer observations. Built on FAIR data principles and Climate & Forecast (CF) conventions,
DISDRODB standards facilitates the processing, analysis, and visualization of disdrometer data.
This repository hosts the DISDRODB Metadata Archive, which serves as a central registry for:
-
Station Inventory: a catalog of all available disdrometer sites
-
Station Status: a register for any stations malfunctions
-
Raw Data Archives: URLs linking to the raw disdrometer data repositories
By using GitHub, we enable the community to collaboratively improve station metadata, track sensor performance, and iteratively enhance data quality - while keeping every step transparent and fully reproducible.
To ensure quality and metadata consistency, we follow a comprehensive standard set of metadata keys.
Contributors can report sensor issues or periods with erroneous data via dedicated YAML files, making it easy to pinpoint and document any anomalies.
The DISDRODB Metadata Archive is composed of many <DATA_SOURCE> (i.e. EPFL) that contain one or many <CAMPAIGN_NAME>(i.e. HYMEX_LTE_SOP3).
Every campaign has one or many stations.
📁 DISDRODB
├── 📁 METADATA
├── 📁 <DATA_SOURCE>
├── 📁 <CAMPAIGN_NAME>
├── 📁 issue
├── 📜 <station_name_1>.yml
├── 📜 <station_name_2>.yml
├── 📁 metadata
├── 📜 <station_name_1>.yml
├── 📜 <station_name_2>.yml
Each metadata YAML file contains relevant information of the station (e.g. type of device, position, disdrodb reader, disdrodb data url, …) which is required for the correct integration and processing into DISDRODB.
Each issue YAML file reports timesteps or time periods with instrument malfunctioning and measurements errors that must be discarded when processing the data.