ARMOGAN AWS

Where we began

Fruit growers in eastern Thailand work with weather that can change quickly, affecting cultivation, costs and the crop itself. A forecast for a large area may leave questions about conditions in one orchard. ARMOGAN explores how observations closer to where people work can contribute to information they can use when deciding what to do.

How we approached it

ARMOGAN develops automatic weather stations designed to collect observations every 15 seconds. The work combines those local measurements with larger weather models to support local forecasts, reports and alerts for growers. It also offers a way for young people in the area to encounter science through observations from their surroundings. The question running through the project is how the data can become useful knowledge for the people living and working there.

This is an account of our past work. For more detail or to ask about current availability, write to us.