If it takes too long you can abort the job here (using the [back] button of the browser does not kill the data extraction job)

Annual cycles, computed with all data available (Jan-Dec: eps, pdf, raw data,. Jul-Jun: 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 -

Fraction missing data (eps, pdf, raw data, netcdf, analyse this time series)

Replot using starting month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec length of season 1 2 3 4 5 6 7 8 9 10 11 12 months

Manipulate this time series

Select years:	-
Make index:
Filter adjacent days	high-pass low-pass running-mean 1st order LOESS 2nd order LOESS filter cut-off 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 days requiring at least % valid data
Filter consecutive years:	high-pass low-pass running-mean 1st order LOESS 2nd order LOESS filter cut-off 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 days
Shift:	Shift data by days.
Normalise:	Take anomalies and set standard deviation to one
	for each day separately
	for all days together
Combine:	Combine with another timeseries to form a normalized index
Mask out:	Mask out based on another time series
Extend:	Extend with 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 (Jul-Jun) annual (Jan-Dec) biannual seasonal monthly 10-daily 5-daily
New variable:	mean sd sum sum above sum below number min time of min max time of max first time last time of sunspots sunspot
Threshold:	no cut less than greater than 1 percentile normal 1971-2000
Minimum:	% valid data
First apply:	-day running mean
Missing data:	ignore, climatology, trend, persistence.