swissweather

Historical monthly averages (1864-present) of temperature and precipitation at weather stations across Switzerland. All data is from MeteoSwiss and their license applies to its usage. I have only combined and transformed the data so it is more code-friendly.

• Data source
• Measurement details (PDF, German)

Station code	Station name
BER	Bern / Zollikofen
BAS	Basel / Binningen
CHM	Chaumont
CHD	Château-d'Oex
GSB	Col du Grand St-Bernard
DAV	Davos
ENG	Engelberg
GVE	Genève-Cointrin
LUG	Lugano
PAY	Payerne
SIA	Segl-Maria
SIO	Sion
SAE	Säntis
SMA	Zürich / Fluntern

Usage:

• get_meteoswiss.py gets multiple .txt files from meteoswiss.ch and transforms data:

• JSON file: meteoswiss.json

• python module: meteoswiss.py.

• plot_zurich_temps.py is an example code:

• loads data from meteoswiss.py

• selects only Zürich (SMA) as the weather station

• selects only average June temperatures

• makes a plot of historical June temperatures in Zürich

from meteoswiss import meteoswiss

yearlist = []
templist = []
for station in meteoswiss:
	print station, ':', meteoswiss[station]['station_name']
	if station == 'SMA': # only Zurich temps
		temps = meteoswiss[station]['temp']
		for key,value in temps.iteritems():
			month = key.split('-')[-1]
			if month == '06': # only June
				yearlist.append(key.split('-')[0])
				templist.append(value)

import matplotlib.pyplot as plt
plt.plot(yearlist,templist,'ro')
plt.xlabel('Year')
plt.ylabel('Temperature (C)')
plt.title('Average June Temperature in Zurich')
plt.grid(True)
plt.show()