Climate Explorer: Time series

Time series

monthly M1

index M1 from Mset, M1 [1], (eps, pdf, metadata, raw data, netcdf)

Annual cycles, computed with all data available (Jan-Dec: eps, pdf, raw data,. Jul-Jun: eps, pdf, raw data). Jul-Jun annual cycle of M1

Anomalies with respect to the above annual cycle (eps, pdf, raw data, netcdf, analyse this time series)

Manipulate this time series

Select years:	-
Make index:
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
Scale series:	Scale factor:
Time derivative:	using 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
Extend:	Extend with another time series
Noise:	Make 100 random series with the same mean, variance and autocorrelation

Create a lower resolution time series