Synoptic chart plots for EUREC4A
Project description
Synoptic charts for the EUREC4A field campaign
With this package you can add synoptic charts to any cartographic matplotlib plot. The charts were provided by Cécile MARIE-LUCE at Meteo-France, Guadeloupe and generated as part of the forecasting testbed during the EUREC4A field-campaign by the EUREC4A-UK team. The synoptic charts were created from analysis at 00:00UTC and cover January 1st to February 29th 2020.
Installation
The package can be installed with pip from pypi
python -m pip install eurec4a_synop
To use it simply import eurec4a_synop
and call add_synop
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import eurec4a_synop
crs = ccrs.AzimuthalEquidistant(central_latitude=10.0, central_longitude=-45.0)
fig, ax = plt.subplots(subplot_kw=dict(projection=crs), figsize=(14, 16))
ax.set_extent([-80, -10, 0, 30], crs=ccrs.PlateCarree())
add_synop(ax=ax, date=datetime.datetime(year=2020, month=2, day=2))
ax.coastlines()
ax.gridlines(draw_labels=True)
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