Daily Data Tables - Air-frost Hrs / hrs

Weather Variable:
Year
Day Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
1 0 0 0 0 0 0 0 0 0 0 0 4
2 0 0 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 0 0 0 0
6 0 0 0 0 0 0 0 0 0 0 0 0
7 0 0 0 0 0 0 0 0 0 0 0 0
8 0 0 6 0 0 0 0 0 0 0 1 0
9 0 0 0 0 0 0 0 0 0 0 0 0
10 0 0 0 0 0 0 0 0 0 0 0 0
11 0 0 0 0 0 0 0 0 0 0 0 0
12 0 0 0 0 0 0 0 0 0 0 0 0
13 0 0 0 0 0 0 0 0 0 0 0 0
14 0 0 0 0 0 0 0 0 0 0 0 0
15 0 0 0 0 0 0 0 0 0 0 0 0
16 0 4 0 0 0 0 0 0 0 0 0 0
17 0 0 0 0 0 0 0 0 0 0 0 0
18 2 0 0 0 0 0 0 0 0 0 0 0
19 17 0 0 0 0 0 0 0 0 0 0 0
20 12 0 0 0 0 0 0 0 0 0 0 0
21 6 0 0 0 0 0 0 0 0 0 0 0
22 0 0 0 0 0 0 0 0 0 0 0 0
23 0 0 0 0 0 0 0 0 0 0 0 0
24 0.2 10 0 0 0 0 0 0 0 0 0 0
25 0 8 0 0 0 0 0 0 0 0 0 0
26 0 3 0 0 0 0 0 0 0 0 0 0
27 0 0 0 0 0 0 0 0 0 0 0 0
28 0 0 0 0 0 0 0 0 0 0 0 6
29 0 0 0 0 0 0 0 0 0 0 9 0.8
30 0   0 0 0 0 0 0 0 0 10 0
31 0   0   0   0 0   0   0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
High 17 10 6 0 0 0 0 0 0 0 10 6
Mean 36 25 6 0 0 0 0 0 0 0 21 11
Count 5 4 1 0 0 0 0 0 0 0 3 3
Cumul 36 62 68 68 68 68 68 68 68 68 88 99

Air-frost Hrs in London, nw3, for every available day of 2016 along with monthly summary: lowest, highest, total, count (values > 0), and the cumulative value for the year to the month's end.