Forecast steps

import earthkit.data
import earthkit.maps

data = earthkit.data.from_source("url", "https://get.ecmwf.int/repository/test-data/metview/gallery/fc_msl_wg_joachim.grib")
data.ls()

	centre	shortName	typeOfLevel	level	dataDate	dataTime	stepRange	dataType	number	gridType
0	ecmf	msl	surface	0	20111215	0	0	fc	0	regular_ll
1	ecmf	10fg6	surface	0	20111215	0	0	fc	0	regular_ll
2	ecmf	msl	surface	0	20111215	0	6	fc	0	regular_ll
3	ecmf	10fg6	surface	0	20111215	0	0-6	fc	0	regular_ll
4	ecmf	msl	surface	0	20111215	0	12	fc	0	regular_ll
5	ecmf	10fg6	surface	0	20111215	0	6-12	fc	0	regular_ll
6	ecmf	msl	surface	0	20111215	0	18	fc	0	regular_ll
7	ecmf	10fg6	surface	0	20111215	0	12-18	fc	0	regular_ll
8	ecmf	msl	surface	0	20111215	0	24	fc	0	regular_ll
9	ecmf	10fg6	surface	0	20111215	0	18-24	fc	0	regular_ll
10	ecmf	msl	surface	0	20111215	0	30	fc	0	regular_ll
11	ecmf	10fg6	surface	0	20111215	0	24-30	fc	0	regular_ll
12	ecmf	msl	surface	0	20111215	0	36	fc	0	regular_ll
13	ecmf	10fg6	surface	0	20111215	0	30-36	fc	0	regular_ll
14	ecmf	msl	surface	0	20111215	0	42	fc	0	regular_ll
15	ecmf	10fg6	surface	0	20111215	0	36-42	fc	0	regular_ll
16	ecmf	msl	surface	0	20111215	0	48	fc	0	regular_ll
17	ecmf	10fg6	surface	0	20111215	0	42-48	fc	0	regular_ll

import matplotlib.pyplot as plt

chart = earthkit.maps.Chart(domain=[-5, 23, 40, 58], rows=3, columns=4)

gust_style = earthkit.maps.Style(
    colors=["#85AAEE", "#208EFC", "#6CA632", "#FFB000", "#FF0000", "#7A11B1"],
    levels=[12, 15, 20, 25, 30, 35, 50],
    units="m s-1",
)

chart.add_subplot(row=0, column=3)
for i in range(8):
    chart.add_subplot(row=1+i//4, column=i%4)

chart.plot(data.sel(shortName="10fg6"), style=gust_style)
chart.plot(data.sel(shortName="msl"), units="hPa")

chart.land(color="lightgrey")
chart.coastlines()
chart.borders()

ax = plt.axes((0.05, 0.8, 0.65, 0.025))
chart.legend(ax=ax)

chart.subplot_titles("{time:%Y-%m-%d %H} UTC (+{lead_time}h)")
chart.title(
    "ECMWF HRES Run: {base_time:%Y-%m-%d %H} UTC\n{variable_name}",
    fontsize=15, horizontalalignment="left", x=0, y=0.96,
)

chart.show()