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Clear, cloudless, nights are conducive to a strong energy loss from the ground and differential cooling of the immediate overlaying air layers due to long-wave radiative transfer.
A surface inversion sets up, air temperature increasing with height, with colder and denser air sitting at the bottom most layers.
This stratified configuration is very stable under calm conditions, lack of breezes.
Temperature dataloggers at strategic locations.
Five weeks monitoring to calibrate the model.
A proprietary computational fluid dynamics model is used to simulate cold air fluxes and associated temperature distribution during frost nights.
It formulates the equations of motion, thermal balance, boundary layer and turbulence closure algorithms bundled together into a state-of-the-art numerical model, comprising millions of computation cells and powered by GPU high performance computing hardware.
It is applied on the local topography, obtained from DEM (Digital Elevation Model), to capture the local MicroClimates.
The frost risk for each microclimate considers the phenology of each crop through the season.
We assess, for each week, the return period of frosts greater or equal to a given threshold in minimum temperature.
The return period is estimated based on the thermal historical record of a nearby Weather Station and is translated to the property using the correlation with the local microclimates during frost nights.
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