Calculate Wind Chill The Australian Apparent Temperature (aka, wind chill) in °C AT is given by this algorithm from the Australian Bureau of Meterology (wp, source):

AT = Ta + (0.33 * e) - (.7 * ws) - 4.0
Where:

Ta = Dry bulb temperature (°C)
e = Water vapour pressure (hPa)
ws = Wind speed (m/s) (at an elevation of 10 meters)

The water vapour pressure in hectoPascals e is given by this algorithm:

e = (rh / 100) * 6.105 * exp( ( 17.27 * Ta ) / ( 237.7 + Ta ) )
Where:

Ta = Dry bulb temperature (°C)
rh = Relative humidity [%]
exp  represents the exponential function

The domain of:


Ta is -273.15°C to 2e7°C.

e is the real numbers

ws is 0 m/s to 2e7 m/s

rh is 0% to 100%



For inputs outside these domains, your code can do anything, including give the right answer.

Output
Given a dry bulb temperature in °C, a wind speed in metres / second, and a relative humidity in %, your code should give the Apparent Temperature in °C, accurate to 0.1°C.
Assuming your platform or language can represent reals, for correct functions correct_func,

or in C, fabsl( correct_func(Ta, rH, ws) - expected ) &lt; 0.1.
Test cases

1 value for Ta, rh, ws -> output

0 -> -4
2 -> -3.35346
4 -> -2.69275
6 -> -2.01507
8 -> -1.31719
10 -> -0.595428
12 -> 0.154404
14 -> 0.937065
16 -> 1.75793
18 -> 2.62308
20 -> 3.5393
22 -> 4.51423
24 -> 5.55638
26 -> 6.67525
28 -> 7.88137
30 -> 9.18643

49, 99, 67 -> 36.268

Repl.it for any test case: https://repl.it/H9xL/0
You can use a builtin function for the exponential function,
ex, if you like.
This is code-golf, so the shortest code wins!
Python 3, 76 bytes



t=lambda T,r,V:.0201465*r*2.718281828459045**(1727*T/(100*T+23770))+T-.7*V-4


Try it online!