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Built-in datasets

The Open Climate Service ships with built-in dataset templates covering precipitation, temperature, and population. Each template describes a data source and the rules for downloading, transforming, and syncing it. They are available in every instance without any additional configuration.

To ingest a built-in dataset for your configured extent, see the API reference. To add datasets beyond these, see Adding custom datasets.


CHIRPS v3 — daily precipitation

Property Value
Dataset ID chirps3_precipitation_daily
Variable precip
Units mm
Period Daily
Spatial coverage Global land, 50°S–50°N
Spatial resolution ~5 km
Record start 1981-01-01
Source CHIRPS v3

CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) v3 is a quasi-global daily precipitation dataset merging satellite thermal infrared imagery with station observations. It is widely used for drought monitoring, food security analysis, and WASH planning in low- and middle-income countries.

Sync behaviour — new data is ingested incrementally as it becomes available. CHIRPS has a nominal publication lag of around 3–7 days, so data through yesterday is not always present. The API uses a custom availability function that checks the actual latest available date from the CHIRPS server before each sync.

Transforms — none applied; data is stored as received in mm.


ERA5-Land — temperature and precipitation

ERA5-Land provides temperature and precipitation at hourly, daily, and monthly resolution. Nine dataset templates are available covering both variables and all resolutions, with options for UTC or local-timezone daily aggregation.

See ERA5-Land datasets for the full reference, including dataset IDs, coverage, lag times, and guidance on choosing the right dataset for your use case.


WorldPop Global2 — total population (yearly)

Property Value
Dataset ID worldpop_population_yearly
Variable pop_total
Units people
Period Yearly
Spatial coverage Global
Spatial resolution ~100 m
Record start 2015
Record end 2030
Source WorldPop Global2

WorldPop Global2 provides gridded population estimates and projections at 100 m resolution. Each raster year represents estimated residential population counts. Years up to and including the present are backward-modelled estimates; years beyond the present are forward projections.

Sync behaviour — population data is released year by year, not as a continuous stream. The API uses a release-kind sync that checks each calendar year separately. Future years (projections) are also requestable, since the underlying data covers through 2030.

Transforms — none applied; values are stored as received (population counts per pixel).


Temporal resampling

Any ingested dataset can be resampled to a coarser temporal resolution (e.g. hourly → daily, daily → monthly) using the standard openEO aggregate_temporal_period process in a process graph. See Processes for an example.