Climate Explorer
European Climate Assessment & Data
KNMI
Help
News
About
Contact
World weather
Effects of El Niño
Seasonal forecasts
Climate Change Atlas
Time series
monthly CPC NAO
CPC North Atlantic Oscillation (NAO) ,
CPC teleconnections
, (
eps
,
pdf
,
raw data
,
netcdf
)
Two annual cycles, computed with all data available (
eps
,
pdf
,
raw data
)
Anomalies with respect to the above annual cycle (
eps
,
pdf
,
raw data
,
netcdf
,
analyse this time series
)
Redisplay the anomalies using the years

Manipulate this time series
Select years:

Make index:
Filter adjacent months
highpass
lowpass
runningmean
1st order LOESS
2nd order LOESS
filter
cutoff value
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
18
24
30
36
48
60
72
84
96
108
120
144
180
240
300
360
480
600
720
840
960
1080
1200
months
requiring at least
% valid data
Filter consecutive years:
highpass
lowpass
runningmean
1st order LOESS
2nd order LOESS
filter
cutoff value
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
30
35
40
45
50
60
70
80
90
100
120
150
200
years
requiring at least
% valid data
Scale series:
Scale factor:
Time derivative:
using
2
3
5
7
9
11
13
15
31
months
Shift:
Shift data by
months.
Normalise:
Take anomalies and set standard deviation to one
for each month separately
for all months together
Combine:
Combine with another timeseries to form a normalized index
Mask out:
Mask out based on another time series
Noise:
Make 100 random series with the same mean, variance and autocorrelation
Create a lower resolution time series
New time scale:
annual (JulJun)
annual (JanDec)
seasonal
monthly
10daily
5daily
daily
New variable:
mean
sd
sum
sum above
sum below
number
min
time of min
max
time of max
first time
last time
of CPC NAO index
Threshold:
no cut
less than
greater than
absolute value
percentile
normal 19712000
Minimum:
% valid data
First apply:
month running mean
Missing data:
ignore,
climatology,
trend,
persistence.
Select a time series
Daily station data
Daily climate indices
Monthly station data
Monthly climate indices
Annual climate indices
View, upload your time series
Select a field
Daily fields
Monthly observations
Monthly reanalysis fields
Monthly and seasonal historical reconstructions
Monthly seasonal hindcasts
Monthly decadal hindcasts
Monthly CMIP3+ scenario runs
Monthly CMIP5 scenario runs
Annual CMIP5 extremes
Monthly CORDEX scenario runs
Attribution runs
External data (ensembles, ncep, enact, soda, ecmwf, ...)
View, upload your field
Investigate this time series
View per
month
,
season
,
half year
or full year (
JanDec
or
JulJun
)
View last
1
,
5
,
10
,
N
years
Correlate with other time series
Correlate with a field (correlation, regression, composite)
only observations
only reanalyses
only seasonal forecasts
only scenario runs
only userdefined fields
Verify against another time series
Spectrum, autocorrelation function
Wavelet
Running mean/s.d./skew/curtosis
Trends in return times of extremes
Plot and fit distribution
© KNMI