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— Found station data: daily streamflowdaily stations between -90N to 90N and -30E to 330E
Found station data
daily streamflowdaily stations between -90N to 90N and -30E to 330E
Create a new set of station data
First fill missing data:
ignore,
climatology,
trend,
persistence.
Then apply:
-day running mean with direction
backward
centred
forward
Then apply new time scale:
keep same 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
Minimum:
% valid data
Threshold:
no cut
less than
greater than
absolute value
percentile
normal 1971-2000
Aggregate this set of time series
Type:
unweighted mean
minimum
maximum
number with data
fraction missing
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 set of time series spatially
Make a map
/
export kml
Plot streamflowdaily
Correlate with a time series
Autocorrelations
Statistical properties
Correlate with a field
Trends in return times of extremes
Make a list suitable for uploading
Investigate this set of time series together
Download as big ascii table
Trends in return times of extremes
Plot and fit combined distribution