earthkit.transforms.aggregate.temporal

The transforms.aggregate.temporal module includes methods for aggregating data in time. This includes reducing the data in time dimension to a single value, daily values or monthly values.

To reduce the data in time dimension to a single value you can use the temporal.reduce, temporal.mean, temporal.sum, temporal.min, temporal.max functions. These functions take an xarray data object and return the aggregated value of the data. The time dimension is automatically detected based on the metadata of the data object, to override this you can use the time_dim parameter.

To calculate calculate daily/monthly values you can use the temporal.daily_reduce or temporal.monthly_reduce functions. These functions reduce the data in time dimension to daily or monthly values respectively. The how parameter can be used to specify the aggregation method. The default is mean.

In addition to the XXX_reduce functions, the temporal module also includes several methods which calculate the desired reduction, without the “how” parameter. These methods are wrappers of the daily_reduce and monthly_reduce methods and are documented in the API reference guide: transforms.aggregate.temporal:

• temporal.daily_mean

• temporal.daily_median

• temporal.daily_min

• temporal.daily_max

• temporal.daily_sum

• temporal.daily_std

• temporal.monthly_mean

• temporal.monthly_median

• temporal.monthly_min

• temporal.monthly_max

• temporal.monthly_sum

• temporal.monthly_std