SmartMet Server is a data and product server for MetOcean data. It provides a high capacity and high availability data and product server for MetOcean data. The server is written in C++, since 2008 it has been in operational use by the Finnish Meteorological Institute FMI.
The server can read input data from various sources:
- GRIB (1 and 2)
- NetCDF
- SQL database
The server provides several output interfaces:
- WMS 1.3.0
- WFS 2.0
- Several custom interface and several output formats:
- JSON
- XML
- ASCII
- HTML
- SERIAL
- GRIB1
- GRIB2
- NetCDF
- Raster images
The server is INSPIRE compliant. It is used for FMI data services and product generation. It's been operative since 2008 and used for FMI Open Data Portal since 2013.
The server is especially good for extracting weather data and generating products based on gridded data (GRIB and NetCDF). The data is extracted and products generating always on-demand.
- smartmet-library-gis
- smartmet-library-giza
- smartmet-library-locus
- smartmet-library-macgyver
- smartmet-library-newbase
- smartmet-library-spine
- smartmet-engine-contour
- smartmet-engine-geonames
- smartmet-engine-gis
- smartmet-engine-observation
- smartmet-engine-querydata
- smartmet-engine-sputnik
- smartmet-plugin-admin
- smartmet-plugin-autocomplete
- smartmet-plugin-download [Guide]
- smartmet-plugin-timeseries [Guide]
- smartmet-plugin-wfs [Guide]
- smartmet-plugin-wms [Guide]
- smartmet-server
docker run -d --restart=always --name smartmetserver -v $HOME/data:/smartmet/data \
-p 8080:8080 fmidev/smartmetserver
mkdir -p $HOME/data/hirlam/surface
wget -O $HOME/data/hirlam/surface/$(date -u +%Y%m%d0000)_hirlam_europe_surface.sqd \
-S "https://opendata.fmi.fi/download?param=Temperature,TotalCloudCover,Precipitation1h,WindSpeedMS,Humidity,
Pressure,WeatherSymbol3&format=qd&producer=hirlam&origintime=$(date -u +%Y-%m-%dT00Z)×tep=data"
http://localhost:8080/timeseries?producer=hirlam&lonlat=24.94,60.17¶m=time,temperature,pressure
http://localhost:8080/wms?service=wms&version=1.3.0&request=GetCapabilities
http://localhost:8080/admin?what=qengine
Get more help for timeseries usage from github wiki page.