Climate Explorer

Help us improve the Climate Explorer by filling out this survey. Thank you!
Home — Time series: daily rr num

Time series

daily rr num
Retrieving data ...

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)

ensemble num of file rr %%%.nc, using members 0 to 666, N [1] number of series with valid data, (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 rr num Jan-Dec annual cycle of rr num
Anomalies with respect to the above annual cycle (eps, pdf, raw data, netcdf, analyse this time series)
anomalies

Redisplay the anomalies using the years -

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 CMIP3+ scenario runs
Monthly CMIP5 scenario runs
Annual CMIP5 extremes
Monthly CMIP6 scenario runs
Monthly CMIP6 scenario (KNMI23 selection)
Monthly CORDEX scenario runs
Attribution runs
KNMI2023 Scenarios
View, upload your field

Investigate this time series

View last 30, 90, 365, N days
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
Wavelet
Running mean/s.d./skew/curtosis
Trends in return times of extremes
Plot and fit distribution

© 2022 KNMI (results, code) / World Meteorological Organization (WMO) (design)
Back to top