Daily Data Tables - Wet Hours / hrs
Weather Variable:
Day | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
1 | 2 | 0.1 | 4 | 0 | 0 | 0.5 | 2 | 8 | 0 | 4 | 0 | 0 |
2 | 9 | 0 | 3 | 5 | 1 | 0 | 0.5 | 10 | 0 | 0 | 0 | 2 |
3 | 7 | 0 | 2 | 2 | 0 | 0 | 0 | 0.3 | 7 | 0 | 1 | 0 |
4 | 0 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 |
5 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 |
6 | 1 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0.5 | 2 | 0 |
7 | 9 | 5 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | 0.6 | 2 | 1 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 2 | 0 |
9 | 4 | 1 | 11 | 3 | 4 | 0 | 0 | 0 | 0 | 0.4 | 10 | 0 |
10 | 2 | 0 | 0 | 0 | 9 | 1 | 0.2 | 0 | 7 | 0.4 | 0 | 7 |
11 | 8 | 0 | 0 | 3 | 8 | 1 | 0.7 | 0 | 0 | 0.5 | 0 | 0 |
12 | 1 | 0 | 0 | 4 | 0 | 3 | 4 | 0 | 0 | 2 | 12 | 1 |
13 | 3 | 12 | 0 | 0 | 0 | 4 | 4 | 0 | 0 | 8 | 0 | 1 |
14 | 4 | 3 | 0 | 2 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 0 |
15 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
16 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 9 | 4 | 2 | 0 |
17 | 5 | 7 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
18 | 0 | 3 | 0 | 0 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | 0 | 1 | 0.3 | 0 | 2 | 1 | 0 | 2 | 0.5 | 0 | 4 | 0 |
20 | 0 | 6 | 0 | 0 | 0 | 8 | 0 | 2 | 0 | 0 | 10 | 0 |
21 | 0 | 0 | 0 | 0 | 0.2 | 0 | 0 | 1 | 0 | 0 | 10 | 1 |
22 | 5 | 3 | 0 | 10 | 0.4 | 0 | 2 | 1 | 0.3 | 0 | 2 | 0 |
23 | 2 | 0 | 0 | 0.5 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 2 |
24 | 0.5 | 0 | 9 | 2 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 |
25 | 0 | 0 | 5 | 2 | 0.2 | 2 | 0 | 0.5 | 0 | 2 | 0 | 0 |
26 | 6 | 0 | 5 | 0.3 | 0 | 2 | 0 | 0.5 | 0.8 | 0 | 0 | 2 |
27 | 4 | 0 | 5 | 1 | 0 | 5 | 2 | 0.1 | 0 | 0 | 1 | 0 |
28 | 0 | 0 | 8 | 1 | 0.2 | 3 | 0 | 0.5 | 0 | 0 | 0 | 0 |
29 | 1 | 0.5 | 3 | 1 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 |
30 | 5 | 0 | 0 | 0 | 3 | 0 | 0 | 0.5 | 0 | 0 | 0 | |
31 | 4 | 0 | 6 | 0 | 0 | 0 | 0 | |||||
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
High | 9 | 12 | 11 | 16 | 9 | 12 | 4 | 10 | 9 | 8 | 12 | 7 |
Mean | 87 (130%) |
52 (99%) |
62 (118%) |
59 (128%) |
35 (88%) |
60 (163%) |
16 (47%) |
26 (69%) |
33 (81%) |
24 (48%) |
64 (102%) |
16 (26%) |
Count | 23 | 15 | 15 | 19 | 11 | 20 | 9 | 12 | 9 | 11 | 15 | 7 |
Cumu- lative |
87 (130%) |
139 (117%) |
201 (117%) |
260 (119%) |
295 (114%) |
355 (120%) |
371 (113%) |
397 (108%) |
431 (106%) |
454 (99%) |
519 (100%) |
535 (92%) |
Wet Hours 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.
Figures in brackets refer to departure from recent
average conditions.