earthkit.transforms.climatology package

Module contents

Climatological transformations for earthkit data objects.

Typically this is done with an xarray representation of data.

reduce(dataarray[, time_dim, how, ...])

Group data annually over a given frequency and reduce using the specified how method.

mean(*_args, **_kwargs)

Calculate the climatological mean.

median(*_args, **_kwargs)

Calculate the climatological median.

min(*_args, **_kwargs)

Calculate the climatological minimum.

max(*_args, **_kwargs)

Calculate the climatological maximum.

std(*_args, **_kwargs)

Calculate the climatological standard deviation.

daily_reduce(*_args, **_kwargs)

Reduce the data to the daily climatology of the provided "how" method.

daily_mean(*_args, **_kwargs)

Calculate the daily climatological mean.

daily_median(*_args, **_kwargs)

Calculate the daily climatological median.

daily_min(*_args, **_kwargs)

Calculate the daily climatological min.

daily_max(*_args, **_kwargs)

Calculate the daily climatological max.

daily_std(*_args, **_kwargs)

Calculate the daily climatological standard deviation.

monthly_reduce(*_args, **_kwargs)

Reduce the data to the monthly climatology of the provided "how" method.

monthly_mean(*_args, **_kwargs)

Calculate the monthly climatological mean.

monthly_median(*_args, **_kwargs)

Calculate the monthly climatological median.

monthly_min(*_args, **_kwargs)

Calculate the monthly climatological min.

monthly_max(*_args, **_kwargs)

Calculate the monthly climatological max.

monthly_std(*_args, **_kwargs)

Calculate the monthly climatological standard deviation.

quantiles(dataarray, q[, time_dim, ...])

Calculate a set of climatological quantiles.

percentiles(dataarray, p, **_kwargs)

Calculate a set of climatological percentiles.

anomaly(dataarray, climatology, **_kwargs)

Calculate the anomaly from a reference climatology.

relative_anomaly(*_args, **_kwargs)

Calculate the relative anomaly from a reference climatology, i.e. percentage change.

auto_anomaly(dataarray, *_args[, ...])

Calculate the anomaly from a reference climatology.