About#
Parent platform#
radar-datatree is the open-source on-ramp to AtmoScale — the institutional platform for turning radar, satellite, and model data into cloud-native, decision-ready products. Use this repository to learn the data model, reproduce published results, or analyze events on your own. Talk to AtmoScale when you need it operationalized for your institution.
What’s here vs. what’s on the platform#
This repository |
AtmoScale platform |
|
|---|---|---|
Data |
Public archives on |
Curated archives, custom radar networks, multi-modal fusion |
Code |
Tutorials, reproducible notebooks, the helper module |
Managed pipelines, dashboards, alerting |
Use case |
Research, reproducibility, learning the data model |
Operations, institutional deployments, SLA-backed delivery |
Support |
GitHub Issues (community) |
Direct support from the AtmoScale team |
Technology Stack#
Built on proven open-source technologies
Component |
Purpose |
|---|---|
WMO FM-301 / CfRadial 2.1 |
Standardized radar data model ensuring interoperability |
xarray.DataTree |
Hierarchical data structures for multi-dimensional arrays |
Zarr v3 |
Cloud-optimized storage with chunked compression |
Icechunk |
ACID-compliant transactional storage with version control |
xradar |
Radar-specific I/O, QC, and processing utilities |
rustytree-xarray |
Rust-backed DataTree backend (recommended engine) |
The stack ensures compatibility with existing tools while enabling cloud-native workflows.
Links#
Citation#
Forthcoming paper (in preparation):
Ladino-Rincón, A., et al. (2026). Radar DataTree: A FAIR and Cloud-Native Framework for Scalable Weather Radar Archives. (Manuscript in preparation.)
Earlier preprint:
Ladino-Rincón, A., & Nesbitt, S. W. (2025). Radar DataTree: A FAIR and Cloud-Native Framework for Scalable Weather Radar Archives. arXiv:2510.24943. doi:10.48550/arXiv.2510.24943