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Roadmap

Step 1 — Foundation (target: DAC 2026)

The first step delivers a working foundation that country teams and tool developers can build on. The scope is deliberately narrow: ingest data, keep it current, store it efficiently, and make it discoverable.

Ingestion and sync

  • Ingest climate and Earth Observation datasets for a configured spatial extent
  • Keep datasets up to date
  • Support the built-in dataset catalogue (CHIRPS, ERA5, WorldPop)

GeoZarr storage

  • Store all datasets as GeoZarr stores
  • Multiscale pyramid support for efficient browser-based rendering
  • Local filesystem storage; S3-compatible object storage for cloud deployments

STAC catalogue

  • STAC endpoint for dataset discovery
  • Collection-level assets with xarray and datacube extensions
  • Enables direct xarray and stackstac access without API knowledge

Primary consumers

Step 2 — Data processing and DHIS2 integration (autumn 2026)

The second step adds the ability to derive new datasets from ingested data and connect the output to DHIS2.

Data processing

  • Compute derived variables: climate normals, anomalies, exposure indices
  • We will investigate whether OGC API Processes and/or openEO is the right fit for process execution and chaining

DHIS2 integration

  • Spatial aggregation using DHIS2 org unit boundaries
  • Push aggregated climate values into DHIS2 data elements against org unit hierarchies

Step 3 — Workflows and orchestration

The third step adds automation so that datasets and derived products stay current without manual intervention.

Workflows

  • Event-driven cascades: a sync that updates a base dataset triggers downstream derived products automatically
  • Scheduled jobs for recurring operations (monthly normals, weekly anomaly updates)
  • Integration with external orchestration tools via the standard API surface