Daily Data Tables - Wet Hours / hrs
Weather Variable:
Day | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
1 | 0 | 20 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 |
2 | 0 | 0 | 0 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 0 |
3 | 0 | 0 | 8 | 2 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
4 | 0 | 8 | 4 | 2 | 2 | 4 | 0 | 0 | 5 | 2 | 4 | 0 |
5 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 |
6 | 0 | 6 | 6 | 0 | 0 | 1 | 2 | 0.5 | 0.5 | 8 | 0 | 10 |
7 | 0 | 1 | 2 | 2 | 0 | 6 | 4 | 2 | 0 | 4 | 5 | 0 |
8 | 0 | 6 | 5 | 3 | 11 | 3 | 0 | 0 | 0 | 1 | 2 | 3 |
9 | 0.3 | 0 | 2 | 6 | 2 | 1 | 0 | 3 | 2 | 1 | 7 | 3 |
10 | 0 | 5 | 9 | 0 | 1 | 18 | 0 | 2 | 0 | 0 | 3 | 4 |
11 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0.5 | 7 | 4 | 0 |
12 | 1 | 0 | 7 | 0 | 0 | 8 | 0 | 1 | 0 | 16 | 2 | 7 |
13 | 0 | 0 | 0 | 1 | 0 | 7 | 0 | 0 | 0 | 8 | 2 | 9 |
14 | 0 | 0 | 6 | 0 | 0 | 3 | 2 | 10 | 0 | 5 | 5 | 5 |
15 | 0 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 | 2 |
16 | 4 | 0 | 4 | 0.5 | 0 | 1 | 0 | 10 | 2 | 3 | 1 | 3 |
17 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 0 | 3 | 1 | 12 |
18 | 0 | 3 | 0 | 0 | 2 | 5 | 5 | 3 | 0 | 3 | 2 | 5 |
19 | 0 | 0 | 3 | 0 | 0 | 4 | 4 | 1 | 0 | 0 | 0 | 7 |
20 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 12 |
21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 8 |
22 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 5 | 6 |
23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 4 | 0 |
24 | 1 | 0 | 0 | 0.5 | 1 | 0 | 2 | 0 | 14 | 5 | 0.3 | 4 |
25 | 3 | 0 | 0 | 0 | 0 | 6 | 0.1 | 0 | 2 | 1 | 3 | 0 |
26 | 1 | 0 | 0 | 0.1 | 0.5 | 0 | 3 | 0 | 4 | 6 | 3 | 5 |
27 | 5 | 0 | 0 | 1 | 0 | 0 | 9 | 0 | 4 | 0 | 10 | 0 |
28 | 0 | 3 | 0 | 1 | 0.5 | 0 | 0 | 1 | 4 | 0 | 4 | 0 |
29 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 8 | 0 | 1 | 0 | |
30 | 0 | 0 | 0 | 0.5 | 0 | 8 | 0 | 7 | 0 | 0.3 | 0 | |
31 | 3 | 0 | 0 | 0 | 0.3 | 0 | 0.3 | |||||
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
High | 7 | 20 | 9 | 6 | 11 | 18 | 9 | 10 | 14 | 16 | 10 | 12 |
Mean | 32 (47%) |
55 (106%) |
65 (123%) |
22 (48%) |
30 (74%) |
71 (192%) |
43 (127%) |
35 (93%) |
59 (144%) |
84 (171%) |
91 (144%) |
105 (170%) |
Count | 11 | 9 | 15 | 12 | 14 | 16 | 11 | 13 | 14 | 18 | 26 | 18 |
Cumu- lative |
32 (47%) |
86 (73%) |
152 (88%) |
174 (80%) |
203 (79%) |
274 (93%) |
317 (96%) |
353 (96%) |
412 (101%) |
496 (108%) |
586 (113%) |
691 (119%) |
Wet Hours in London, nw3, for every available day of 2019 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.