Processing open meteorological data with opensource software

English version of slides for a talk given at GISconf 2012 Moscow, Russia on 18.11.2012

Transcript

1. Processing open meteorological data with opensource software Nick Lebedev GISconf 2012
2. Meteodata – what is it?
3. Meteodata Information about weather conditions • Factual (observations) data from meteo stations • Forecast data, obtained by calculated models based on factual
4. Ok, I’m in. Where can I get it?
5. Actual weather data • Founded in 1950 • 189 participants (Russian Federation among them) • Consolidation and exchange of meteorological data “WMO facilitates the free and unrestricted exchange of data and information, products and services in real- or near-real time on matters relating to safety and security of society, economic welfare and the protection of the environment.”
6. Open observation data WMO Resolution 40: Data with unrestricted access
7. Open forecast data NOAA calculates forecast data on a regular basis
8. So what can I do with the data? Visualize!
9. Lot’s of examples on the internet
10. Hmm… Isolines, coverages? That’s GDAL!
11. Raw data
12. gdal_grid to raster
13. Gdalwarp to WGS84
14. gdaldem color-relief
15. gdal_contour
16. gdal_warp to Web Mercator
17. Further processing • GRASS GIS – interpolation, smoothing • PostGIS – classification, indexing, topology
18. This is definitely worth showing to my mates. But how?
19. Set up your rendering Mapnik – OpenSourcelibrary for rendering map images • Written in С++ (very fast) • Configured with XML • Can be scripted with C++, python, nodejs
20. Publish in the open MapProxy – OpenSourcetile server written in Python, allowing to create web-servicesof WMS, TMS, WMTS standards (OGC) using Mapnik and XML
21. Create a Web-page Leaflet – JavaScript library for Web maps
22. Questions? Nick Lebedev nlebedev@gispro.ru @nextstopsun