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averaging anomalies over region lon= 0.000 360.000, lat= -90.000 90.000

operating on ICOADS 2-degree Standard, climexp.knmi.nl/select.cgi?field=coads sst, averaging anomalies over region lon= 0.000 360.000, lat= -90.000 90.000, sst [degC] Sea Surface Temperature Monthly Mean at Surface, (eps, pdf, metadata, raw data, netcdf)
time series
Annual cycles, computed with all data available (Jan-Dec: eps, pdf, raw data,. Jul-Jun: eps, pdf, raw data).
Jul-Jun annual cycle of mean ICOADS 3.0 SST 0-360E -90-90N Jan-Dec annual cycle of mean ICOADS 3.0 SST 0-360E -90-90N
Anomalies with respect to the above annual cycle (eps, pdf, raw data, netcdf, analyse this time series)
anomalies

Redisplay the anomalies using the years -
Manipulate this time series
Select years:
-
help
Make index:
help
Filter adjacent months
filter
cut-off value months
requiring at least % valid data
Filter consecutive years:
filter
cut-off value years
requiring at least % valid data
help
Scale series:
Scale factor:
help
Time derivative:
using months
help  
Shift:
Shift data by months.
Normalise:
Take anomalies and set standard deviation to one
help
  for each month separately
  for all months together
 
Select month:
Select all values in
Combine: Combine with another timeseries to form a (normalised) index help
Mask out:Mask out based on another time series help
Extend:Extend with another time series help
Convert to Fahrenheit:Full values, anomalies  
Noise:Make 100 random series with the same mean, variance and autocorrelation help

helpCreate a lower resolution time series
New time scale:
New variable: of ICOADS 3.0 SST 0-360E -90-90N SST
Threshold:
Minimum:% valid data
First apply:-month running mean
Missing data: ignore, climatology, trend, persistence.
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