Climate Explorer: Time series

Climate Explorer

European Climate Assessment & Data

Effects of El Niño

Seasonal forecasts

Climate Change Atlas

Time series

annual N.Atlantic hurricanes

hurricane count [1] observed number of hurricanes over the North Atlantic, from HURDAT, (eps, pdf, metadata, raw data, netcdf)

time series

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

anomalies

Manipulate this time series

Select years:	-
Make index:
Filter consecutive years:	filter cut-off value years requiring at least % valid data
Scale series:	Scale factor:
Time derivative:	using years
Shift:	Shift data by years.
Normalise:	Take anomalies and set standard deviation to one
	for each year separately
	for all years 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 monthly time series

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

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 year

View last 10, 20, 50, 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 user-defined fields

Verify against another time series

Spectrum, autocorrelation function

Running mean/s.d./skew/curtosis

Trends in return times of extremes

Plot and fit distribution

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