As I continue to dig into frost prediction, there are many methods and formula to give a real good guess. Each has been fine tuned by organizations in the local area where they are applied and each is predicated on the evening sensor reading the day before the frost event. It is this fine tuning that may make a Cumulus frost forecast less appealing.
Most often it is some sort of agricultural product like grapes or peaches that pushes researchers to improve frost forecast.
However our stations offer us the ability to calculate a micro forecast that can account for local deviations from the national of regional forecast.
One interesting observation I have made is how close the Apparent Temperature may track a frost event. I say may because I only noticed it on the graph from the last frost. Here is a local calculator to predict frost that uses a similar approach to the Apparent Temperature formula listed below.
http://fawn.ifas.ufl.edu/tools/minimum_temperature/
From: Norms of apparent temperature in Australia, Aust. Met. Mag., 1994, Vol 43, 1-16
About the formula for the apparent temperature
The formula for the AT used by the Bureau of Meteorology is an approximations of the value provided by a mathematical model of heat balance in the human body. It can include the effects of temperature, humidity, wind-speed and radiation. Two forms are given, one including radiation and one without. On this site we use the non-radiation version.
Version including the effects of temperature, humidity, and wind:
AT = Ta + 0.33×e − 0.70×ws − 4.00
Version including the effects of temperature, humidity, wind, and radiation:
AT = Ta + 0.348×e − 0.70×ws + 0.70×Q/(ws + 10) − 4.25
where:
Ta
= Dry bulb temperature (°C)
e
= Water vapour pressure (hPa) [humidity]
ws
= Wind speed (m/s) at an elevation of 10 meters
Q
= Net radiation absorbed per unit area of body surface (w/m2)
The vapour pressure can be calculated from the temperature and relative humidity using the equation:
e = rh / 100 × 6.105 × exp ( 17.27 × Ta / ( 237.7 + Ta ) )
where:
rh
= Relative Humidity [%]