Historical and Climate Normals Analysis
A 3-step recipe with Tomorrow.io. We can help you get access.
Recipe · 3 steps
Historical and Climate Normals Analysis
with Tomorrow.io
Persist a location, retrieve a historical timeline, and pull climate normals.
- Create a reusable saved location to anchor the historical analysis.
- Retrieve a historical weather timeline for the saved location over the requested window and field set.
- Retrieve the monthly climate normals for the same coordinate to benchmark the observed history against the typical baseline.
What you'll need to have ready
- apikey: Tomorrow.io API key passed as the apikey query parameter.
- name: Human-readable name for the saved location.
- coordinates: GeoJSON Point coordinates as [lng, lat].
- locationString: The same point as 'lat,lng' for the climate normals query.
- fields: Data layer fields to retrieve in the historical timeline.
- timesteps: Historical timesteps (e.g. ['1h','1d']).
- startTime: ISO-8601 start of the historical window.
- endTime: ISO-8601 end of the historical window.
- normalsFields: Comma separated climate normal fields.
- units: Unit system (metric or imperial).
For your developer
Arazzo workflow tomorrow-io:historical-and-normals-analysis, 3 operations: createLocation → postHistorical → getClimateNormals. Specs on APIs.io.