Calculate and plot monthly and daily statistics from hourly ERA5 data - ECMWF internal earthkit training, March 2026

Using only the packages imported and data loaded in the first code block, produce a figure similar to the one show below.

All the information and code required to complete this task can be found in the earthkit-transforms Documentation pages.

The following code cell imports the required earthkit modules and uses earthkit-data to download the sample data. The data is a grib file containing hourly 2m temperature data over Europe for the year 2015.

from earthkit.data.utils.testing import earthkit_remote_test_data_file

from earthkit import data as ekd
from earthkit import plots as ekp
from earthkit import transforms as ekt

# Get some demonstration ERA5 data, this could be any url or path to an ERA5 grib or netCDF file.
remote_era5_file = earthkit_remote_test_data_file("era5_temperature_europe_2015.grib")
era5_data = ekd.from_source("url", remote_era5_file)

era5_data

# Insert your code here

Hints¶

Consider the following workflow:

Optional, convert to xarray to have more control on the dimensionality of the results.
Use the earthkit.transforms.temporal sub-module to calculate the daily and monthly statistics
Use earthkit.plots.Timeseries charts to construct the plot