simple-dwd-weatherforecast 0.9.5

A simple tool to retrieve weather forecast from DWD OpenData

Simple DWD weather forecast

DISCLAIMER: This project is a private open source project and doesn't have any connection with Deutscher Wetterdienst.

This is a python package for simple access to hourly forecast data for the next 10 days. The data is updated every six hours and updated when needed.

Available station-IDs can be found here in the third column or you can use the method dwdforecast.get_nearest_station_id(latitude, longitude) which tries to find it for you.

Forecasted weather conditions are evaluated using this table and then converted into these possible weather conditions:

• sunny
• partlycloudy
• cloudy
• rainy
• snowy-rainy
• snowy
• pouring
• lightning-rainy

Installation

python3 -m pip install simple_dwd_weatherforecast

Usage

from simple_dwd_weatherforecast import dwdforecast
from datetime import datetime, timedelta, timezone

#Find nearest Station-ID automatically
#id = dwdforecast.get_nearest_station_id(50.1109221, 8.6821267)

dwd_weather = dwdforecast.Weather("10385") # Station-ID For BERLIN-SCHOENEFELD
time_now = datetime.now(timezone.utc)
temperature_now = dwd_weather.get_forecast_temperature(time_now)
time_tomorrow = datetime.now(timezone.utc)+timedelta(days=1)
temperature_tomorrow = dwd_weather.get_forecast_temperature(time_tomorrow)

Available methods

All methods return their values as string. The datetime value has to be in UTC. If no data is available for this datetime, None will be returned.

dwdforecast.get_nearest_station_id(latitude, longitude) #Returns nearest Station-ID for the coordinates. latitude and longitude expect float values.

get_station_name() #Return Station name

get_forecast_condition(datetime) #Result is condition as text

get_forecast_temperature(datetime) #Result is in degrees Celcius

get_forecast_pressure(datetime) #Result is in hPa

get_forecast_wind_direction(datetime) #Result is in degrees magnetic

get_forecast_wind_speed(datetime) #Result is in m/s

get_forecast_precipitation(datetime) #Result is in kg/m2

get_forecast_precipitation_probability(datetime) #Result is in percent

get_forecast_cloud_coverage(datetime) #Result is in percent

get_forecast_visibility(datetime) #Result is in meters

get_forecast_sun_duration(datetime) #Result is in minutes of the last hour

get_daily_temp_max(datetime) #Result is in degrees Celcius

get_daily_temp_min(datetime) #Result is in degrees Celcius

get_daily_condition(datetime) #Result is worst condition at this day

Advanced Usage

If you want to access the forecast data for the next 10 days directly for further processing, you can do so. All data is stored in dictonary and can be accessed like this:

from simple_dwd_weatherforecast import dwdforecast

dwd_weather​ ​=​ ​dwdforecast​.​Weather​(​"10385"​) # Station-ID For BERLIN-SCHOENEFELD​
dwd_weather.update() # This has to be done manually to fetch the data from the DWD server
access_forecast_dict = dwd_weather.forecast_data # dwd_weather.forecast_data contians the forecast as a dict

Keep in mind that the weather condition is stored as the original digit value as provided by DWD. So if you want to use them, you have to convert these yourself. You can use my simplified conversion from the source code in the variable weather_codes or the original conversion available here.

Help and Contribution

Feel free to open an issue if you find one and I will do my best to help you. If you want to contribute, your help is appreciated! If you want to add a new feature, add a pull request first so we can chat about the details.

Licenses

This package uses public data from DWD OpenData. The Copyright can be viewed here.