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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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