OpenWeatherMap is an open source project that collects weather data from over 40,000 weather stations worldwide and makes it available for free through interactive maps and APIs. It believes weather data should be open and accessible to all. The site provides current and forecasted weather for over 120,000 cities, as well as weather maps, analytics, and an API. Data is collected from both professional and private weather stations and combined with forecasts from multiple global and local models to provide accurate global and local weather coverage.
2. OpenWeatherMap
project is inspired by
Wikipedia and
OpenStreetMap
ideas
We make weather
data to be available
to everyone.
3. We believe that enthusiasts joined by one idea
could reach more results than large companies.
We believe that meteorological data must be
available, free and easy-to-use.
OpenWeatherMap.org provides you with:
Weather in 120,000 cities
Data from 40,000 weather stations all over the world
20 different weather maps
4. OpenWeatherMap.org is:
1 Interactive weather
maps
2 History and forecasts
3 Analiticss
4 API
5 WiKi
5. OpenWeatherMap conception
3. Weather maps
1. Collecting of
data from
weather stations
Open
Weather
Map
4. API
2. Forecasts of
meteorological
services
6. 1. Data collection: Weather stations
OpenWeatherMap receives data 40,000 weather stations
from professional and private
weather stations Private stations
Professional stations
7. 1. Data collections: Weather stations in
Russia and Europe
Density of weather stations.
Situation with weather stations in Russia looks dramatically in comparison
with Europe.
8. 1. Data collection: How to use data from
weather station
After connection of the weather
station it possible to build
different types of charts using
weather data from the station.
- Wind rose
- Pressure
- Weather forecast
-Temperature
variation
… and many others.
9. 2. Forecasts: Types
• Global and Local forecasts
• GFS CMC WRF models
We combine data from different forecasts with different scalability and
accuracy
Global (low Continent (middle Local (high
accuracy) accuracy) accuracy)
10. 2. Forecasts: Enthusiasts make a
local weather
WRF model is
available as an
OpenSource
software.
The model works on PCs
of enthusiasts.
Budget of the system
is$5,000
Blade server 16 core
11. 2. Forecasts: How to use
We combine data from different models
By combining global and local models it
possible to get global covering on the one
hand and accurate detailed data for
specific locations
Base on these data we make interactive
weather maps
12. 3. Weather maps: Variety of types
Clouds Pressure
Temperature Радары
Radars Precipitations
13. 4. API: For whome
Mobile applications
Smart house
Web applications Научное применение
Scientific applications (oceanology)
14. 4. API: How to use
1. Mobile applications for
iOS, Android, Windows Mobile
2. Web-applications to display a current
weather, charts, widgets and many others.
3. Smart house system, automatic garden
irrigation system etc.
4. Agriculture and scientific applications.
15. 4. API: Getting different kinds of data
by JSON
1. Current weather in city (more than 120,000
cities)
2. Current weather in location – lat/lon
3. Forecast for 7 days in a compact or full
formats.
4. Data from weather stations
4. History
16. OpenWeatherMap architecture
Open
Source
software:
NgInx
Apache
PHP
Tilecache
OpenLayers
/Leaflet
Mapnik
PostGIS
Memcache
MongoDB
Gearman
MySQL
Python
And more..
17. Future development of the
OpenWeatherMap
• Social aspects
• External modules of calculation
• Weather station expanding
• Agriculture
• Development of customized meteorological
applications
18. Thank you!
Join the project of Open Weather!
denn@OpenWeatherMap.org
Twitter @OpenWeatherMap