# About
Weacast is an Open Source platform to gather, expose and make use of weather forecast data.
Note
Read our introductory article (opens new window) on Medium.
# Why Weacast ?
Weather prediction data are now available from the major meteorological agencies and institutions on a day-to-day basis. Current weather observations serve as input to numerical computer models, through a process known as data assimilation, to produce a forecast of the future state of weather. These models output hundreds of other meteorological elements from the oceans to the top of the atmosphere such as temperature, precipitation, icing conditions, etc. As an example, the following animated image represents a typical output of the GFS weather forecast model (opens new window) from NOAA.
Weacast (a shortcut for Weather forecast) aims at providing web services and visualization tools to gather, expose and make use of weather forecast data in a simple manner and format. Indeed, although publicly available weather forecast data come from many different sources, in many different and dedicated protocols/formats (such as WCS (opens new window), GeoTIFF (opens new window), GRIB (opens new window), etc.), making consumption in web applications not so easy, particularly on the client-side. Moreover, forecast data often cover large continental areas and contain hundred of elements such as temperature, wind, etc. but a few are usually required by a specific business use case. Last but not least, forecast data are in essence dynamic so that keeping your application up-to-date with the lastly available data is always a tedious task.
# Weacast philosophy
Weacast is weather forecast model agnostic, i.e. it mainly exposes a minimalistic framework where forecast data sources can be added on-demand to extend its capabilities in a plugin-like architecture. These data are then available in Weacast through simple REST/Websocket services in JSON format and can be visualized using the built-in web app.
Currently supported plugins are the following:
- ARPEGE model from Meteo France (opens new window)
- AROME model from Meteo France (opens new window)
- GFS model from NOAA (opens new window)
Weacast aims at going beyond providing crude forecast data and includes tools to derive your own business focussed data by:
- Probing forecast data to extract or analyze relevant data for your locations of interest (e.g. airports, cities, stores, etc.)
- Querying your probed data to find which locations match specific weather conditions
# What is inside ?
Weacast is possible and mainly powered by the following stack:
- Feathers (opens new window) on the backend side
- Quasar (opens new window) on the frontend side
- Leaflet (opens new window) and plugins (opens new window) for mapping
- Leaflet-timedimension (opens new window) for time management
- Leaflet-velocity (opens new window) for wind visualization
- Leaflet-canvaslayer-field (opens new window) for color map visualization
- Leaflet-windbarb (opens new window) for wind barbs (opens new window)
Showcase →