oviedotemp.txt

麻省理工学院的人工智能工具箱,很珍贵,希望对大家有用!

startDate=01-Jan-1994, endDate=31-Jan-1994, ndata=744
period=01:00, step=01:00, type=mean, unit=cesius, var=temperature, source=observed
6
6.5
7
6.9
7.2
5.7
5.7
5
5.4
7.4
8
9.1
9.5
9.8
9.8
10.9
11.7
12
13.2
13.4
15
15.6
16.3
15.8
15
14.6
14.1
14.3
13.9
13.6
14.8
15.6
15.2
15.8
16.6
17.1
17
16.4
16.2
16.3
16.3
14.7
14.8
14.6
13.3
11.2
10.5
10.8
10.3
11.4
14.5
14.8
15.5
15.7
16.2
15.9
16.5
17.1
16.3
11.5
10.2
12
12.2
10.4
9.1
7.8
8
7.8
6.7
6.3
6.8
6
6.2
6.8
6
7.9
7.8
7.7
7.5
7.2
8
8.8
9.8
7.9
9.9
10.5
10.8
10
9
8.2
7.1
7.3
7.8
7.4
7.5
6.4
8.8
9.4
10.9
12.5
13.1
13.4
13
12.9
13.5
14.1
14.2
13.7
13.3
9.4
8.6
8.7
8.7
8.7
9.3
6.3
6.4
6.3
6.4
5.8
6.1
5.9
6.2
5.9
3.1
2.8
3.1
2.2
1.3
2.3
4.9
6.6
7.8
8.4
5.3
4.7
4.5
2.3
1.8
1.8
1.3
1.6
2.5
2.2
2.8
3.6
4.3
5
4.6
3.8
3.7
3.4
3.4
4.3
4.5
5.2
6.9
4.8
6.2
4.6
5
4.2
4.1
4.1
4.4
4.2
4.2
4.5
4.4
4.1
4.3
4.5
4.3
4.6
4.9
5.4
6.4
7.4
8.5
8.1
9.2
10.1
10.5
11.8
11.7
11.5
11.5
12.5
11.4
11.9
11
10.3
9.6
8.8
8.9
8.6
8
7.6
7.8
9.7
10.8
12.6
15.6
15.9
16.1
16.5
16.6
9.3
5.6
5.3
6.5
7
7.8
7.8
7.5
7.5
7.4
6.2
6
5.4
6.4
4.7
5.7
6.2
6.6
7
7.5
5.7
5.5
6.1
6
6.2
5.8
5.8
5.8
5.5
5.1
4.1
4.2
4.7
5
5.3
5.8
5.5
4.9
6.4
6.3
7.2
7.9
9.6
11.3
13
14.4
12.3
12.7
13.7
13.9
13.9
13.4
12.9
13.1
13.2
12.3
13.1
12.3
12.3
11.8
12.3
11
11.4
11.4
8.6
10.9
12.8
13.1
15
15.4
14.8
14.9
14.8
14
13.6
12.7
12.7
11.2
10.8
10.1
10.3
9.5
9.7
9.9
9.2
9.5
9.8
10
10.5
11.8
12.7
14
14.7
14.8
15.1
12.3
11
10.3
10.1
9.9
9.3
8.3
7.7
7.8
7.9
7.6
7.5
7.4
7.3
7.2
7.1
7.2
7.1
7.2
8.2
9.7
10.2
11.1
11.4
11.6
11.3
10.5
8.8
7.9
6.9
6
5.5
4.7
4.6
3.5
3.8
4.9
5.3
3.6
4.7
5.5
5.4
6.8
6.3
7.9
6.2
6.1
8.7
9.2
8.2
5.1
4
5
4.5
5.3
5
5.1
4.5
4.9
4.3
4.7
5
4.9
4.3
4.5
4.4
4.9
4.1
3.8
3.2
2.4
3.3
4.5
3.9
4
4.1
5
5.1
4.6
4.5
4.8
4.3
4.6
4.8
3.4
2.5
3.2
2.1
3.6
1.6
2.4
3.6
4.5
4.6
3.8
4.5
4
3.9
4.1
3.2
2
2
1.2
0.8
0.7
1
0.8
0.5
0.4
0.6
0.6
0.5
0.9
0.6
1.4
3.5
4.2
5.4
5.5
5.9
6.1
5.6
4.8
4
1.6
1.3
0.9
-0.7
-1.1
-1.8
-1.2
-1.1
-1.2
-0.7
-0.8
-0.6
-0.2
0.8
1.9
4.3
5.3
7.6
7.1
6.8
6.2
5.2
4.5
5
4.9
4.7
4.5
4.4
3.9
3
3.3
2.8
3
2.9
2.9
2.7
3.6
4.8
5.1
6.7
6.1
5.9
6.9
7.1
6
4.9
4.3
4.5
4.2
3.6
3.8
3.7
3.8
3.6
3.3
3.5
3.6
3.8
4
3.6
4.3
5.2
5.5
7
8
8
7.8
7.9
7.4
7.1
6.8
6.5
6.2
6.2
6.1
6.1
6.2
6
6.2
6.2
6.3
6.6
7.2
6.5
6.8
7.9
8.5
8.7
8.9
8.9
8.7
8.3
8.1
7.8
7.5
7.5
7.4
7.3
6.8
6.1
6.1
5.3
5.4
4.3
3.9
3.3
3.1
3.2
3.4
5.4
7
8.9
8.9
10.1
9.2
8.8
8.4
7.6
7.3
6
5.7
5.9
5.7
5.8
6.1
5.8
5.8
5.6
5.3
5.7
5.6
5.4
5.8
6.6
7.6
8.8
9.5
9.7
9.6
9.6
9.1
8.8
8.4
8.5
8.3
8.1
7.8
7.6
7.8
7.2
7.7
7.9
7.6
7.8
7.9
8
8.4
9
10.4
11
11.8
12
11.7
10.3
9.9
9.7
9.5
9.8
9.8
10.5
9.8
9.6
9.4
9.5
9.2
8.8
8.8
8.3
8.1
8.2
8
8.9
9.6
10.8
11.9
11.8
11.9
10.5
9.6
9.2
9
8.8
8.7
8.1
7.5
7
7.2
7
5.4
4.7
4.5
3.9
4.4
4.3
5
9.4
11.8
12.7
14.5
15.2
14.6
12.9
11.9
11
10.9
10.7
10.5
10.9
10.5
9.9
10.3
10.2
10.1
9.9
10
9.7
9.5
8.8
9.1
10
10.4
11.4
11.3
12.2
11.6
9.9
9.5
9.1
9.3
9.2
8.9
8.7
8.5
7.9
7.4
6.5
5.7
5.1
4.7
3.9
4
4
4.5
8.4
10.1
11.3
12.9
14.5
15.8
15
13.1
12.5
11.4
10.5
9.8
9.7
8.2
8.2
8
7
7
7.1
6.8
6.6
6.7
6.8
7.7
10
12.7
13.7
14.5
14.5
14.7
13.1
11.9
9.8
8
7.9
7.7
7.5
7.3
6.6
5.9
5.1
4.4
3.2
3.4
3.3
3.3
3.1
3.3
3.7
4.2
5.5
7.8
9.8
11.4
11.4
11.1
9.4
8.7
7.6
7.1
6.8
6.6
6.8
5.2
5.6