The format follows a standard, although this one is different because of the R
at the front...
The format is the "Runway State Group":
First two digits are the Runway Number, 88 means all runways, 99 means a "repetition of the last message as no new information received".
The third digit is the runway deposits, it tells you what is on the runway:
0 = Clear and dry
1 = Damp
2 = Wet or water patches
3 = Rime or frost covered (depth normally less than 1mm)
4 = Dry snow
5 = Wet snow
6 = Slush
7 = Ice
8 = compacted or rolled snow
9 = frozen ruts or ridges
/ = type of deposit not reported (e.g. due to rwy clearance in progress)
The Fourth digit is the extent of the contamination:
1 = 10% or less
2 = 11% to 25%
5 = 26% to 50%
9 = 51% to 100%
/ = not reported (e.g. due to rwy clearance in progress)
The fifth and sixth digits are the depth of deposit:
00 = less than 1mm
01 = 1mm etc
to
90 = 90mm
91 = not used
92 = 10cm
93 = 15cm
94 = 20cm
95 = 25cm
96 = 30cm
97 = 35cm
98 = 40cm or more
99 = Rwy(s) non-operational due to snow, slush, ice, large drifts or runway clearance, but depth not reported.
// = depth of deposit operationally not significant or measurable.
And the seventh and eighth digits are the braking action:
28 = friction coefficient 0.28
38 = friction coefficient 0.38
or
91 = Braking action: Poor
92 = Braking action: Medium/Poor
93 = Braking action: Medium
94 = Braking action: Medium/Good
95 = Braking action: Good
99 = Figures unreliable (e.g. if equipment has been used which does not measure satisfactorily in slush or snow.)
// = Braking action not reported (e.g. runway not operational; aerodrome closed; etc.)
So we can take your example: R06L/CLRD62
Means
R06L
: Runway 06 Left
/
: Deposit not reported (clearance in progress)
CLRD
: Contamination ceases to exist, so two groups omitted
62
: Friction coefficient 0.62
Source: Skybrary.aero But I can't find one definitive source with all the possible reporting in a METAR, sadly.
It seems that this "Runway State Group" is mostly used in European countries, I can't find an example of it used in the U.S.. Here is one good reference which I think covers 99% of the METAR data for Europe.