Use cases · Research & universities

Weather and climate data, ready for your next paper.

Researchers and students use Flowershift for gridded history, AI forecasts with ensembles, and verification data, in the formats your analysis already uses.

A research data workbench: a study region over the Hunter catchment, reanalysis from 1980, an AI ensemble forecast and station observations to download, a chart of the model against station observations with the forecast range ahead, and a Python notebook exporting to Zarr and NetCDF.

of gridded history: 70 years; of gridded history
forecast and reanalysis grid: 1 km; forecast and reanalysis grid
Zarr, CSV and Parquet: NetCDF; Zarr, CSV and Parquet

Research & universities

How teams use it.

History and forecasts together

Decades of gridded observations and our AI forecasts on the same grid, so you can study the past and test predictions.

Ensembles and verification

Every forecast comes with its ensemble members and how it scored against what was observed.

Fits your workflow

Download areas and periods, or pull data straight into Python, R or a notebook through the API.

From a single site to a whole study region.

Draw a study region, choose variables and dates, and export, or query the API from your own code. Lab and department plans cover a whole team.

Temperature, rain, wind, humidity, pressure and more
Ensemble members and p10 to p90 ranges
Forecast verification against stations
Bring your own sensors and compare
Lab and department plans

Features used

Historical data Exports & reports API Hyperlocal forecasts

This year’s rainfall at Pokolbin against the range of the last 10 years, observed to October then an AI outlook to December, 18% above average.

Questions.

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Is there academic pricing?

Placeholder: yes. Students and research groups get discounted usage. Contact us with your project and institution.

Can I cite Flowershift data in a paper?

Placeholder: yes. Each export includes the dataset version and a citation to use.

Can we add our own sensors?

Yes. Upload or stream your own observations and compare them with our forecasts and history.

Still have a question?

Ask a real person. We usually reply within one business day.

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Related use cases

Teams with similar weather.

All use cases

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Heat, fire weather, storms and floods across a whole state.

Agriculture

Frost, spray windows and rain, paddock by paddock.

A drone and autonomous fleet screen: drone corridors from a Maitland hub coloured go, marginal and no-go by gusts at 120 m, an autonomous shuttle route slowed by coastal fog, a route-by-hour go / no-go grid, a gust chart against a 25 kt limit and an API response for fleet software.

UAV, robots & autonomy

Wind at altitude and go or no-go for drones, robots and vehicles.

Start with the data.

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